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Answer Request Questions

answer_request
Destructive

Answer a thread's clarifying questions (status must be awaiting_answers).

`answers` is a list of {"idx": <int from get_request_status>, "answer_md":
<str, 1..2000 chars>}. Every question needs exactly one answer. The call
flips the thread back to intake_pending; get_request_status reports the
subsequent state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
answersYes
thread_idYes
project_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare destructiveHint=true, idempotentHint=false and openWorldHint=true, so the safety profile is covered. The description adds meaningful state-machine behavior: the call flips the thread back to intake_pending and enforces exactly one answer per question. It doesn't contradict any annotation.

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?

Three tight sentences that front-load the action and precondition before the payload rules. Every sentence earns its place, though the answers formatting sentence is dense.

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?

An output schema exists so return values needn't be explained, and the description still covers the state transition and the answers payload shape. It omits any note on the identifier parameters and error handling for a wrong precondition status, so it is not fully exhaustive.

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%, so the description must carry parameter meaning. It does document the complex parameter well — answers is a list of {idx from get_request_status, answer_md 1..2000 chars} with an exactly-one-answer-per-question rule. project_id and thread_id are left undocumented, keeping it short of a 5.

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?

Names a specific verb (answer), resource (a thread's clarifying questions), and adds a hard precondition (status must be awaiting_answers). This clearly separates it from siblings like get_request_status (read state) and submit_request (create thread).

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?

States the precondition for calling (thread must be in awaiting_answers) and points to get_request_status as the way to observe state and obtain question indices. It lacks explicit when-not-to-use guidance (e.g. what to do if the status isn't awaiting_answers), so it's clear context without full routing rules.

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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