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

Annotations already declare read-only, idempotent, closed-world and non-destructive behavior, so the description's added value is the result shape: up to five matching Q&A pairs with sources and review dates, plus the corpus size of 37 answers. It doesn't say what an empty result looks like, but the behavioral picture is otherwise well covered.

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?

Two tight sentences: the first front-loads scope, the second covers output and input guidance. Every clause carries information (corpus size, source/review metadata, example topics, privacy exclusion) with no 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?

For a one-parameter read tool with no output schema, the description supplies the return shape (five Q&A pairs with sources and review dates), the corpus boundary (37 reviewed answers), and an input safety constraint. An agent has everything needed to call it correctly and interpret results.

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% and the single query parameter is already documented, so the baseline would be 3. The description earns above baseline by supplying concrete example topics ("cancel annual plan", "which pharmacy") that show the expected granularity of the query, which the schema's generic wording does not convey.

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?

States a specific verb (keyword search) and resource (Trimi's 37 reviewed, source-linked answers) with an explicit topical scope covering pricing, billing, eligibility, pharmacy, shipping, safety and switching. It does not explicitly name a sibling it is not (e.g., list_questions or policies), so differentiation is inferred from the topical keyword-search framing rather than stated.

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?

Gives concrete invocation guidance with example queries ("cancel annual plan", "which pharmacy") and an explicit exclusion ("do not include personal or health details"). It stops short of naming alternatives or when-not-to-use cases such as routing listing/browsing needs to list_questions instead.

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