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Answer a question on a task

answer_question

Answer an open question raised on a task. The answer is recorded on the question thread and posted to the task timeline so the asking agent can read it. API reference: https://tango.applayer.io/docs/api/tools/answer_question

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
answerYesYour answer.
question_idYesQuestion id from list_open_questions or get_task.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations declare readOnlyHint=false and destructiveHint=false, so the agent knows this is a non-destructive write. The description goes beyond that by disclosing the concrete side effects: the answer is recorded on the question thread and posted to the task timeline so the asking agent can read it. It does not cover permissions or what happens if the question is already answered.

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?

Two short sentences plus an API reference link, with the core action front-loaded and no redundant restatement of the name or title. The reference URL is the only mildly expendable element, but it is a legitimate pointer rather than filler.

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?

With no output schema, the description compensates by explaining what happens to the answer (thread + timeline), which is the key return-value substitute an agent needs. Missing edge-case behavior (already-answered questions, permission requirements) keeps it from a 5, but it is adequate for a simple two-parameter write.

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% – both question_id (with UUID format and provenance) and answer (with 1-4000 length bounds) are fully documented in the schema. The description adds no additional semantic detail about the parameters, so the baseline of 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?

The description states a specific verb ('Answer') and resource ('an open question raised on a task'), and the second sentence clarifies the effect. It implicitly separates itself from list_open_questions, but does not name a sibling explicitly, so it stops short of a 5.

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 context is implied (answer an open question) and the schema points to list_open_questions/get_task as the source of question_id, which helps routing. However, there is no explicit when-to-use vs when-not guidance, nor any mention of alternatives like add_comment for non-question communication.

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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