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

With no annotations provided, the description carries the burden of behavioral disclosure. It does capture the core behavior (semantic search with optional filters) and implies a read-only discovery operation, but it does not explain filter semantics, result ordering, or how filters interact. This is adequate but not rich.

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

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

The description is two sentences with the core behavior front-loaded and the usage guidance in the second sentence. Every sentence earns its place, and there is no redundancy or filler.

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

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

The description covers the core purpose and when to choose this tool, and the output schema handles return-value shape. However, with no annotations and 0% parameter coverage, the six-parameter input is not fully clarified—especially filter semantics and value domains. It is sufficient for a simple query-only call but incomplete for confident use of all filters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for missing parameter documentation. It only says 'optional filters' without specifying which parameters are filters, what values are accepted, or how limit, quality, category, min_views, and difficulty behave. The agent is left to guess from property names.

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

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

The description clearly identifies a specific action ('semantic search') on the resource (topics) and contrasts it with 'keyword search', which maps to the sibling search_topics. This distinguishes the tool from siblings and makes its role unambiguous.

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

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

The description gives explicit conditions for use: 'Use when keyword search misses' and 'to browse a category by meaning rather than exact wording.' It does not name the sibling tool search_topics explicitly or state when not to use it, but the guidance is clear enough to route an agent correctly.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.