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Answer a question

answer_question

Answers one of the read's questions (get_setup's questions_to_answer), or anything else the owner would want Marsell to know, as a question and its answer. Each answer becomes one of the business's facts when the owner confirms.

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": {
      "question": "<question>",
      "answer": "<answer>"
    },
    "name": "answer_question"
  }
}

Input Schema

NameRequiredDescriptionDefault
answerYesThe answer, in the owner's words or as a source shows it; never a guess.
questionYesThe question, as get_setup's questions_to_answer words it, or your own.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

The annotations already establish that this tool writes (readOnlyHint=false) without being destructive and without open-world access. The description contributes one useful behavioral detail beyond them: each answer becomes one of the business's facts, and only once the owner confirms it, which signals a pending or confirmation step. It does not explain what happens on rejection, whether answers can be edited or replaced, or how confirmation is triggered.

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 sentences, front-loaded with the core action, with no filler. The phrase 'as a question and its answer' is slightly awkward, and the parenthetical reference to get_setup's questions_to_answer is a little dense. Both are minor issues.

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?

It is a simple two-parameter tool with no output schema, and the description covers the question source, the answer's provenance, and the downstream effect (a business fact after owner confirmation). That is nearly everything an agent needs to invoke it correctly. It could say what happens after the submit, but that gap is small given the tool's simplicity.

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 both parameters are already documented in the schema, including the instruction that the answer must never be a guess. The description reinforces that the question should be worded as questions_to_answer words it, or in the agent's own words, but adds no new syntax or formatting guidance. A baseline 3 is appropriate when the schema does the heavy lifting.

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 and resource: it answers a question and records the answer. It also names the source of the questions (get_setup's questions_to_answer), which tells an agent where these questions come from. It does not clearly separate itself from near-siblings such as answer_decision or owner_fact_set, so an agent must infer which one to pick.

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?

It gives clear conditions for use: either a question from get_setup's questions_to_answer, or anything else the owner would want Marsell to know. That covers the main trigger well. It never says when not to use it, however, and it names no alternative for cases where owner_fact_set or answer_decision would be the better choice.

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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