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list_api_requests

Read-only

The user's API requests and where each one is (submitted, reviewing, building, testing, live, declined).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "list_api_requests"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered by structured data. The description adds genuinely useful behavior context by surfacing the possible status values, but says nothing about result volume, ordering, or whether all requests or only active ones are returned.

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?

One short sentence that front-loads the resource and then the status enumeration. The parenthetical list is dense with information rather than filler; the only flaw is the sentence fragment lacking an explicit verb.

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?

This is a simple zero-parameter read with no output schema, so little is required, and the status enumeration covers the main unknown about return values. Still missing are whether results are paginated or complete, and how this differs from get_api_request, which an agent browsing siblings would want to know.

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?

The tool takes zero parameters, so the baseline is 4 and there is no parameter semantics to explain. The description correctly spends its words on the return-side status vocabulary instead of inventing input detail.

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

Purpose4/5

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

The description names the resource (the user's API requests) and enumerates the lifecycle states returned (submitted, reviewing, building, testing, live, declined), which tells an agent exactly what is being listed. It stops short of an explicit verb like 'list' and never distinguishes this from the sibling get_api_request, so sibling disambiguation is left to the name alone.

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

Usage Guidelines3/5

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

Usage is only implied: 'the user's API requests' scopes the call to the authenticated user's own requests, and the status list suggests it is a browsing/overview call. There is no explicit when-to-use, no when-not-to-use, and no pointer to get_api_request for fetching a single request.

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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