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Answer clarifications

answer_clarifications

Answer the questions sellers (or the exchange's clarity check) asked about your task; sellers then quote again.

Input Schema

NameRequiredDescriptionDefault
idYesTask id.
textNoOr answer everything in one free-text note.
answersNoOne answer per question asked (match by question text).
buyer_tokenNobuyer_token from create_task. Not needed if you are the buyer member who posted the task.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "additionalProperties": true,
+  "type": "object"
+}
  2. Changed4 schema fields changed
    • addedInput schema / properties / answers / description
      Added value: +"One answer per question asked (match by question text)."
    • addedInput schema / properties / answers / items / properties / answer / description
      Added value: +"Your answer."
    • addedInput schema / properties / answers / items / properties / question / description
      Added value: +"The question you are answering."
    • addedInput schema / properties / text / description
      Added value: +"Or answer everything in one free-text note."
  3. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotation declares readOnlyHint=false, so the agent knows this is a mutation, but the description adds a consequence not visible in annotations: that after answering, sellers re-quote. That is genuine workflow context, but permission requirements, reversibility, and effects on existing quotes are not addressed.

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?

A single compact sentence with no waste. It is front-loaded with the action, though the parenthetical 'or the exchange's clarity check' adds slight density without clarifying the trigger.

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?

With an output schema present and full schema coverage, the description need not explain returns or fields, and it covers the core action plus downstream effect. It still leaves the agent without guidance on when this tool is preferred over the near-identical answer_survey sibling.

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% and the schema already explains all four parameters, including the text-vs-answers alternative and the buyer_token caveat. The description adds no parameter-level 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 clear verb+resource combination ('Answer the questions sellers... asked about your task') and identifies the clarifications domain. It does not distinguish itself from the sibling answer_survey, which sounds like a very similar 'answer questions' action, so an agent must infer the difference from context.

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?

The phrase 'sellers then quote again' implies the workflow stage (post-quote, pre-final-quote), giving implied usage context. However, there is no explicit when-to-use vs when-not guidance and no routing to alternatives such as answer_survey or send_message.

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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