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Answer a request question

answer_request_question

Answer the clarifying questions on a request posted with post_request, when get_request_status shows "needs_info". Use the person's own answer. Pass the same email used to post it (not needed when signed in as the author).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "request_code": "<request_code>",
      "answer": "<answer>"
    },
    "name": "answer_request_question"
  }
}

Input Schema

NameRequiredDescriptionDefault
emailNoThe email the request was posted with.
answerYesThe person's answer to the questions.
request_codeYesThe request_code returned by post_request.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Added

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already declare this is a non-read-only but non-destructive open-world write, so the description is not carrying the safety burden. It does add real behavioral context the annotations lack: the state-machine gate (needs_info), the identity-matching requirement for email, and the auth shortcut. It does not say what state the request moves to after answering or whether answers can be revised, which keeps it below a 5.

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?

Two sentences, no filler, with the trigger condition front-loaded before the invocation details. Every clause carries information an agent needs.

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?

For a three-parameter mutation with no output schema, the description covers trigger, identity, and answer content. The remaining gap is the post-call outcome — whether the request leaves needs_info and what the response contains — but that is a modest omission given the schema is fully documented.

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 100%, so baseline is 3, but the description adds meaning beyond the schema: email must be the same one used to post and is unnecessary when authenticated as the author, and the answer should be the person's own words rather than a paraphrase. Those are the two judgment calls an agent could get wrong from the schema alone.

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?

States a specific verb and resource ('Answer the clarifying questions on a request') and anchors it to the sibling tools that produce and expose that request (post_request, get_request_status). An agent can tell immediately what this does and which workflow it belongs to.

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

Usage Guidelines5/5

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

Gives an explicit precondition ('when get_request_status shows "needs_info"'), names the tool that creates the request and the tool that signals readiness, and clarifies the email requirement differs when signed in as the author. The condition that selects this tool is fully spelled out.

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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