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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered; the description adds value by disclosing the return payload (ids, names, typical used prices), which tells the agent this is a discovery call that returns approximate pricing rather than live quotes. It does not cover match behavior (fuzzy vs exact) or result limits, keeping it below a 5.

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, zero waste: purpose first, return shape second. Nothing could be removed without losing information.

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-optional-parameter read-only search with no output schema, the description covers purpose and return fields adequately. Minor gaps remain around matching behavior and whether empty results are possible, but nothing critical to invoking it correctly is missing.

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 both parameters are documented with examples and a category list, so the schema carries the load. The description's 'by name or category' restates the filter intent but adds no syntax, combination, or matching-semantics detail beyond the schema — baseline 3.

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 and resource ('Find tracked models') and narrows scope to name or category lookup, which separates it in spirit from the price-lookup siblings (get_price, check_price). It stops short of explicitly naming how it differs from those siblings, so an agent still infers the boundary.

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 phrasing 'Find tracked models by name or category' implies a discovery/resolution use case that precedes price lookups, but there is no explicit when-to-use statement, no mention of get_price/check_price as alternatives, and no guidance on whether both filters can be combined.

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