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LocalHelpNow

list_answer_topics

Every question the LocalHelpNow Answer Layer covers, by trade: what broke, what a fair price looks like, and whether to repair or replace.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tradeNoOptional filter, e.g. hvac

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

With no annotations, the description must carry behavioral disclosure. It does not state that the tool returns a list, what fields each topic contains, whether the trade filter is exact or partial, or anything about output shape. It only says what topics cover, not how the tool behaves when called.

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?

The description is a single sentence with no fluff. It communicates the substantive scope in a compact way. However, the phrasing 'Every question the LocalHelpNow Answer Layer covers' is a roundabout way to say 'list topics' and could be more direct, but overall it is concise and front-loaded enough.

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

Completeness2/5

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

The tool has no output schema and no annotations, so the description must fill in what an agent should expect. It does not state the return type (e.g., array of topic names), whether results are grouped by trade, or how the optional trade parameter affects the result. For a simple list tool, the description is insufficient to ensure correct invocation and response interpretation.

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% for the single 'trade' parameter, which already explains it as an optional filter with an example. The description adds the phrase 'by trade', which aligns with the parameter but provides no additional meaning about allowed values, formatting, or behavior. Baseline 3 applies.

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 states the resource (Answer Layer topics) and hints at content (what broke, pricing, repair/replace), but never explicitly says the tool lists or returns topics. The action is implied by the name 'list_answer_topics', not by the description. It does not directly distinguish itself from siblings like get_answer, though the content focus helps slightly.

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?

No guidance on when to use this tool versus get_answer or how_to_get_a_pro. There is no mention of typical use cases, such as browsing before asking a question, or any exclusions. The description implies a discovery feature but leaves all selection logic to the agent.

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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