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Answer issue question

answer_issue_question

Answer a question that was put to you on an issue, by choosing one of its options. Only the person the question was addressed to may answer it; answering again with a different option changes the answer and says so in the thread. A question whose deadline already passed can still be answered — that replaces whatever the deadline took, and the change is recorded. The answer is written into the thread as an ordinary comment and the asker is told.

Input Schema

NameRequiredDescriptionDefault
noteNoWords of your own beside the option — a qualification, not the answer itself ('Postgres, but only after the migration lands'). Ignored when the asker switched free text off; check 'allowsFreeText' on the question.
optionYesWhich option to choose, counted from 0 in the order they were offered.
questionIdYesThe question's id, as returned by list_issue_questions or ask_issue_question.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior5/5

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

Goes well beyond the annotations: it discloses the authorization rule (addressee only), the replace-on-repeat-answer semantics, the deadline-passed override and its recording, and the side effects (answer posted as an ordinary comment, asker notified). These are exactly the mutation consequences an agent needs and that destructiveHint=false does not convey.

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?

Four short sentences, front-loaded with the core action and eligibility, then consequences. No filler and every sentence carries distinct information (eligibility, re-answer, deadline, side effects).

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

Completeness5/5

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

For a 3-parameter mutation with no output schema, the description covers action, authorization, idempotent-replace behavior, edge cases and visible side effects, with discovery of the question id covered by the schema. Nothing an agent needs to call it correctly is missing.

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%, so questionId, option and note are already fully documented, including the 0-based option index and the free-text caveat. The description adds only the notion of choosing 'one of its options' and does not extend the parameters' meaning, so the baseline 3 applies.

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?

States a specific verb and resource ('Answer a question ... on an issue, by choosing one of its options'), which is unambiguous next to ask_issue_question, list_issue_questions and withdraw_issue_question. However, it never names those siblings explicitly, so the differentiation is inferred from wording rather than stated.

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?

Gives concrete eligibility ('Only the person the question was addressed to may answer it') plus edge-case guidance for re-answering and for questions whose deadline passed. It stops short of routing the agent to alternatives (e.g. use list_issue_questions to discover ids, withdraw_issue_question to cancel), so it is clear context rather than a full when/when-not map.

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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