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DisclaimerUnofficial, and not affiliated with Anthropic. Nearly all of this is read straight out of what ships: npm bundles, captured prompts, published docs. Anthropic's own notes go in verbatim, marked as theirs. The rest is my reading, and every entry carries the strings behind it. If one looks wrong, vote it down and say why.

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strict-tool-use

agents-and-tools/tool-use/strict-tool-use

3 recorded changes 1144 lines First seen Last changed Upstream

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agents-and-tools/tool-use/strict-tool-use Changed · +2 / -0 lines

from line 380
   </Step>
 </Steps>
 
+The [computer use](https://platform.claude.com/docs/en/agents-and-tools/tool-use/computer-use-tool) and [browser use](https://platform.claude.com/docs/en/agents-and-tools/tool-use/browser-use-tool) toolset entries (`computer_toolset_20260801` and `browser_toolset_20260801`) don't accept `strict: true`; a request that sets it on either entry is rejected.
+
 ## Common use cases
 
 <AccordionGroup>

agents-and-tools/tool-use/strict-tool-use Changed · +2 / -2 lines

from line 577
       if err != nil {
       	log.Fatal(err)
       }
-      fmt.Println(response)
+      fmt.Println(response.RawJSON())
       ```
 
       ```java Java
from line 962
       if err != nil {
       	log.Fatal(err)
       }
-      fmt.Println(response)
+      fmt.Println(response.RawJSON())
       ```
 
       ```java Java

agents-and-tools/tool-use/strict-tool-use First recorded · 1142 lines, first recorded

## Why strict tool use matters for agents ## Quick start ## How it works ## Common use cases ## Data retention ## Next steps

The first capture of this source. The page was already there, and this is what it said.

---
title: Strict tool use
url: https://platform.claude.com/docs/en/agents-and-tools/tool-use/strict-tool-use
description: Enforce JSON Schema compliance on Claude's tool inputs with grammar-constrained sampling.
---

Setting `strict: true` on a tool definition guarantees Claude's tool inputs match your JSON Schema by constraining the model's token sampling to schema-valid outputs (a technique called grammar-constrained sampling). This page covers why strict mode matters for agents, how to enable it, and common use cases. For the supported JSON Schema subset, see [JSON Schema limitations](https://platform.claude.com/docs/en/build-with-claude/structured-outputs#json-schema-limitations). For non-strict schema guidance, see [Define tools](https://platform.claude.com/docs/en/agents-and-tools/tool-use/define-tools).

Strict tool use validates tool parameters, ensuring Claude calls your functions with correctly-typed arguments. Use strict tool use when you need to:

* Validate tool parameters
* Build agentic workflows
* Ensure type-safe function calls
* Handle complex tools with nested properties

## Why strict tool use matters for agents

Building reliable agentic systems requires guaranteed schema conformance. Without strict mode, Claude might return incompatible types (`"2"` instead of `2`) or omit required fields, breaking your functions and causing runtime errors.

Strict tool use guarantees type-safe parameters:

* Functions receive correctly-typed arguments every time
* No need to validate and retry tool calls
* Production-ready agents that work consistently at scale

For example, suppose a booking system needs `passengers: int`. Without strict mode, Claude might provide `passengers: "two"` or `passengers: "2"`. With `strict: true`, the response always contains `passengers: 2`.

## Quick start

<CodeGroup>
  ```bash cURL
  curl https://api.anthropic.com/v1/messages \
    -H "content-type: application/json" \
    -H "x-api-key: $ANTHROPIC_API_KEY" \
    -H "anthropic-version: 2023-06-01" \
    -d '{
      "model": "claude-opus-5",
      "max_tokens": 1024,
      "messages": [
        {"role": "user", "content": "What is the weather in San Francisco?"}
      ],
      "tools": [{
        "name": "get_weather",
        "description": "Get the current weather in a given location",
        "strict": true,
        "input_schema": {
          "type": "object",
          "properties": {
            "location": {
              "type": "string",
              "description": "The city and state, e.g. San Francisco, CA"
            },
            "unit": {
              "type": "string",
              "enum": ["celsius", "fahrenheit"]
            }
          },
          "required": ["location"],
          "additionalProperties": false
        }
      }]
    }'
  ```

  ```bash CLI
  ant messages create --transform content <<'YAML'
  model: claude-opus-5
  max_tokens: 1024
  messages:
    - role: user
      content: What is the weather in San Francisco?
  tools:
    - name: get_weather
      description: Get the current weather in a given location
      strict: true
      input_schema:
        type: object
        properties:
          location:
            type: string
            description: The city and state, e.g. San Francisco, CA
          unit:
            type: string
            enum: [celsius, fahrenheit]
        required: [location]
        additionalProperties: false
  YAML
  ```

  ```python Python
  client = anthropic.Anthropic()

  response = client.messages.create(
      model="claude-opus-5",
      max_tokens=1024,
      messages=[{"role": "user", "content": "What's the weather like in San Francisco?"}],
      tools=[
          {
              "name": "get_weather",
              "description": "Get the current weather in a given location",
              "strict": True,  # Enable strict mode
              "input_schema": {
                  "type": "object",
                  "properties": {
                      "location": {
                          "type": "string",
                          "description": "The city and state, e.g. San Francisco, CA",
                      },
                      "unit": {
                          "type": "string",
                          "enum": ["celsius", "fahrenheit"],
                          "description": "The unit of temperature, either 'celsius' or 'fahrenheit'",
                      },
                  },
                  "required": ["location"],
                  "additionalProperties": False,
              },
          }
      ],
  )
  print(response.content)
  ```

  ```typescript TypeScript
  const client = new Anthropic({
    apiKey: process.env.ANTHROPIC_API_KEY
  });

  const response = await client.messages.create({
    model: "claude-opus-5",
    max_tokens: 1024,
    messages: [
      {
        role: "user",
        content: "What's the weather like in San Francisco?"
      }
    ],
    tools: [
      {
        name: "get_weather",
        description: "Get the current weather in a given location",
        strict: true, // Enable strict mode
        input_schema: {
          type: "object",
          properties: {
            location: {
              type: "string",
              description: "The city and state, e.g. San Francisco, CA"
            },
            unit: {
              type: "string",
              enum: ["celsius", "fahrenheit"]
            }
          },
          required: ["location"],
          additionalProperties: false
        }
      }
    ]
  });
  console.log(response.content);
  ```

  ```csharp C#
  using System.Text.Json;
  using Anthropic;
  using Anthropic.Models.Messages;

  AnthropicClient client = new();

  var parameters = new MessageCreateParams
  {
      Model = Model.ClaudeOpus5,
      MaxTokens = 1024,
      Messages = [new() { Role = Role.User, Content = "What's the weather like in San Francisco?" }],
      Tools = [
          new ToolUnion(new Tool()
          {
              Name = "get_weather",
              Description = "Get the current weather in a given location",
              Strict = true,
              InputSchema = new InputSchema(new Dictionary<string, JsonElement>
              {
                  ["properties"] = JsonSerializer.SerializeToElement(new Dictionary<string, object>
                  {
                      ["location"] = new { type = "string", description = "The city and state, e.g. San Francisco, CA" },
                      ["unit"] = new { type = "string", @enum = new[] { "celsius", "fahrenheit" } },
                  }),
                  ["required"] = JsonSerializer.SerializeToElement(new[] { "location" }),
                  ["additionalProperties"] = JsonSerializer.SerializeToElement(false),
              }),
          }),
      ]
  };

  var message = await client.Messages.Create(parameters);
  Console.WriteLine(message);
  ```

  ```go Go
  client := anthropic.NewClient()

  response, err := client.Messages.New(context.TODO(), anthropic.MessageNewParams{
  	Model:     anthropic.ModelClaudeOpus5,
  	MaxTokens: 1024,
  	Messages: []anthropic.MessageParam{
  		anthropic.NewUserMessage(anthropic.NewTextBlock("What's the weather like in San Francisco?")),
  	},
  	Tools: []anthropic.ToolUnionParam{
  		{OfTool: &anthropic.ToolParam{
  			Name:        "get_weather",
  			Description: anthropic.String("Get the current weather in a given location"),
  			Strict:      anthropic.Bool(true),
  			InputSchema: anthropic.ToolInputSchemaParam{
  				Properties: map[string]any{
  					"location": map[string]any{
  						"type":        "string",
  						"description": "The city and state, e.g. San Francisco, CA",
  					},
  					"unit": map[string]any{
  						"type": "string",
  						"enum": []string{"celsius", "fahrenheit"},
  					},
  				},
  				Required: []string{"location"},
  				ExtraFields: map[string]any{
  					"additionalProperties": false,
  				},
  			}}},
  	},
  })
  if err != nil {
  	log.Fatal(err)
  }
  fmt.Println(response.Content)
  ```

  ```java Java
  AnthropicClient client = AnthropicOkHttpClient.fromEnv();

  InputSchema schema = InputSchema.builder()
      .properties(
          JsonValue.from(
              Map.of(
                  "location", Map.of(
                      "type", "string",
                      "description", "The city and state, e.g. San Francisco, CA"
                  ),
                  "unit", Map.of(
                      "type", "string",
                      "enum", List.of("celsius", "fahrenheit")
                  )
              )
          )
      )
      .putAdditionalProperty("required", JsonValue.from(List.of("location")))
      .putAdditionalProperty("additionalProperties", JsonValue.from(false))
      .build();

  MessageCreateParams params = MessageCreateParams.builder()
      .model(Model.CLAUDE_OPUS_5)
      .maxTokens(1024L)
      .addUserMessage("What's the weather like in San Francisco?")
      .addTool(
          Tool.builder()
              .name("get_weather")
              .description("Get the current weather in a given location")
              .strict(true)
              .inputSchema(schema)
              .build()
      )
      .build();

  Message response = client.messages().create(params);
  IO.println(response.content());
  ```

  ```php PHP
  $client = new Client();

  $message = $client->messages->create(
      maxTokens: 1024,
      messages: [
          ['role' => 'user', 'content' => "What's the weather like in San Francisco?"]
      ],
      model: 'claude-opus-5',
      tools: [
          [
              'name' => 'get_weather',
              'description' => 'Get the current weather in a given location',
              'strict' => true,
              'input_schema' => [
                  'type' => 'object',
                  'properties' => [
                      'location' => [
                          'type' => 'string',
                          'description' => 'The city and state, e.g. San Francisco, CA'
                      ],
                      'unit' => [
                          'type' => 'string',

Cut at 300 lines.