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Read one home repair answer

get_answer
Read-only

One answer in full: the direct answer first, then price tables with the source and the date they were checked, the repair-or-replace rule and its limits, and the FAQs. Every price range carries where the number came from.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesThe topic slug from list_answer_topics
tradeYese.g. hvac

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety and world-scope profile is covered. The description adds substantive context: it enumerates the sections in the returned answer (direct answer first, price tables with source and date checked, repair-or-replace rule with limits, FAQs) and asserts every price range carries provenance. It omits failure behavior, e.g. what an invalid trade/slug pair returns, but on balance adds real value beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single sentence and thus compact, but it is front-loaded on payload internals instead of the retrieval action, and the itemized sections read more like a spec dump than an agent-facing summary. A tighter opening such as 'Return the single answer for a given trade and slug' would earn more.

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 no output schema, the description usefully compensates by describing the returned content and provenance model, which is genuinely helpful. However, it omits expected failure cases (nonexistent trade/slug), and it never links to the sibling that produces valid slugs; 100%-covered parameters reduce the need for param detail. Adequate but with clear gaps.

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%: the schema documents both params, including that slug comes from list_answer_topics and that trade is e.g. 'hvac'. The description adds no syntax, casing, or format guidance for either parameter, so it earns the 3 baseline rather than more.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description implies a retrieval of one answer but never clearly states 'returns one answer for a given trade and slug', and it spends most words on the shape of the payload rather than the purpose. It does not reference the sibling list_answer_topics from which the slug originates, leaving the routing relationship to the schema. An agent can infer read-a-single-answer, but the statement is indirect.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance and no mention of alternatives such as list_answer_topics for discovery. The slug's schema description ('from list_answer_topics') is the only hint of workflow, and that lives in the schema rather than the description, so the description itself adds nothing about when this tool is appropriate.

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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