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execute_tool

Sends HTTP requests to call API endpoints by providing tool name and parameters as JSON. Use after discovering tools to execute the selected API call.

Instructions

Execute an OpenAPI tool via HTTP.

    Sends the actual HTTP request based on the tool's method and path
    from the OpenAPI spec. Use after search_tools() + get_tool_schema()
    to call the API.

    Args:
        tool_name: Exact tool name (as returned by search_tools)
        arguments: JSON string of parameter values (e.g. '{"owner":"me","repo":"test"}')
        base_url: API base URL (e.g. https://api.github.com). Required if not inferrable.
        auth_token: Bearer token for authentication (optional)
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tool_nameYes
argumentsYes
base_urlNo
auth_tokenNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It mentions 'Sends the actual HTTP request,' implying mutation, but does not disclose potential side effects, rate limits, or idempotency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is clear with a bullet-like Args section, but it could be slightly more concise. No unnecessary fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given an output schema exists, the description need not explain return values. It adequately covers prerequisites, parameter meanings, and usage flow. Missing safety notes but overall complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but description adds meaning: explains tool_name as exact name from search_tools, arguments as JSON string with example, base_url when required, and auth_token optional. Adds value beyond schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool executes an OpenAPI tool via HTTP, specifying it sends the actual HTTP request. This distinguishes it from siblings like search_tools and get_tool_schema, which are preparatory steps.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly tells when to use: 'Use after search_tools() + get_tool_schema() to call the API.' It lacks explicit when-not or alternatives but provides clear context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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