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Make HTTP requests to web endpoints, such as GET requests to APIs or POST data to servers, using specified methods, headers, and body content.

Instructions

Make HTTP requests to web endpoints. Example: GET request to an API or POST data to a server

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesURL to request
methodNoHTTP methodGET
headersNoRequest headers (object of key-value pairs)
bodyNoRequest body (for POST/PUT/PATCH)
Behavior3/5

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

Annotations provide readOnlyHint=false, indicating this is a mutable operation (consistent with HTTP requests that can modify server state). The description adds useful context about the types of requests (GET, POST) but doesn't disclose important behavioral traits like authentication requirements, rate limits, error handling, or response format. With annotations covering the safety profile, this earns a baseline score for adding some value without rich behavioral details.

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

Conciseness5/5

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

The description is extremely concise (two short sentences) and front-loaded with the core purpose. Every word earns its place: the first sentence states the general function, and the second provides concrete examples without redundancy. There's zero waste or unnecessary elaboration.

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

Completeness3/5

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

For a general-purpose HTTP tool with 4 parameters, 100% schema coverage, and no output schema, the description is minimally complete. It covers the basic purpose but lacks details on response handling, error cases, or advanced usage scenarios. The annotations provide safety information, but more contextual guidance would help an agent use this tool effectively in complex scenarios.

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

Parameters3/5

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

Schema description coverage is 100%, with all parameters well-documented in the schema itself. The description mentions 'GET request to an API or POST data to a server', which implicitly relates to the 'method' and 'body' parameters but doesn't add meaningful semantics beyond what the schema already provides. This meets the baseline for high schema coverage.

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's purpose with specific verbs ('Make HTTP requests') and resources ('to web endpoints'), plus concrete examples ('GET request to an API or POST data to a server'). It effectively distinguishes this tool from all sibling tools, which are focused on text processing, conversions, networking diagnostics, and other utilities rather than general HTTP requests.

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 provides clear context for when to use this tool ('Make HTTP requests to web endpoints'), but it doesn't explicitly state when not to use it or name specific alternatives. Given the sibling tools include specialized utilities like 'dig', 'nslookup', and 'ping' for network diagnostics, the description could have mentioned that this tool is for HTTP-level interactions rather than lower-level protocols.

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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