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

Annotations already cover the safety profile (read-only, idempotent, closed-world), so the description correctly spends its words elsewhere: it discloses that matching is lexical not semantic, that results are diversified across groups, and that match locations are quoted. The lexical-matching caveat is exactly the kind of behavioral detail an agent needs and cannot get from annotations.

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 sentences, no filler, and the mechanism is front-loaded. The second sentence is a useful caveat rather than padding, keeping the whole definition tight.

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 two-parameter read-only lookup with a full input schema and an output schema, the description covers mechanism, result shaping, and the interpretive risk. An agent has everything needed to call it and to sanity-check what it gets back.

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%, with both parameters fully documented including the stop-word behavior and the 1-10 limit range. The description only hints at sizing via 'a short set' and adds nothing about format or phrasing beyond the schema, so the baseline 3 applies.

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 states a specific verb and resource (find Gearlist entries) plus the actual matching mechanism: word overlap, spread across groups, with quoted match locations. That mechanism meaningfully separates it from siblings like search_gear, though it never names or contrasts an alternative explicitly.

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?

Usage is implied rather than stated: you describe a job and get suggestions. The closing caveat ('check each entry suits the job before suggesting it') is genuine guidance about result quality, but there is no explicit when-to-use versus search_gear or get_gear.

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