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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), so the bar is lower. The description still adds real behavioral information beyond them: matching is case-insensitive, based on shared words, and results are ranked with best matches first. It stops short of describing entry structure or result-size limits.

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?

Essentially one sentence that front-loads the filter behavior and the omit-for-all case. The opening clause identifying Tate Mauck is personality rather than instruction, a small amount of non-earning text, but it is brief and does not obscure the operational content.

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?

For a single-optional-parameter read tool with full annotation coverage, the description is close to sufficient. However, with no output schema, the agent is never told what an 'entry' contains (question/answer pairs, fields, or result ordering format), which is the one remaining unknown needed to use the results correctly.

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 coverage is 100%, so baseline would be 3, but the description goes further by defining the matching semantics the schema does not: case-insensitive, word-overlap rather than substring, and relevance ordering. That materially changes how an agent should phrase a query. The maxLength/example detail is left to the schema, which is appropriate.

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 names the resource (Duffer Golf's FAQ) and the retrieval behavior (keep entries sharing a word with the query, or all entries if omitted). It is unambiguous about what the tool returns, though the lead-in about Tate Mauck is flavor rather than purpose. No sibling tool overlaps with FAQ lookup, so differentiation is not a concern.

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?

It explicitly states both branches of use: pass a query to filter, omit it to get everything. That is clear operational guidance for the only parameter. It does not name any alternative tool or when-not-to-use case, but none of the siblings (check_fit, contact_info, find_dealers, list_models) competes for this job.

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