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

With no annotations, the description carries the whole burden and does well: it discloses the return fields (name, retailer, msrp), the USD currency, and the crucial edge case that missing-MSRP products are omitted so an empty result means 'unknown' rather than zero. It omits any note on auth, rate limits, or how loosely names are matched.

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?

Front-loaded with the purpose in the first sentence, followed by usage and then the caveat; four sentences, each carrying information. Slightly long for a one-parameter read tool, but nothing is 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?

Covers purpose, usage trigger, return shape, and the empty-result semantics, which is nearly everything needed for a simple one-param lookup with no output schema. Matching behavior for the query string is the one remaining ambiguity.

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 query parameter already documents length bounds and an example, so the schema does the heavy lifting. The description only adds the word 'matching a name', which hints at fragment matching but does not clarify exact vs. partial or case sensitivity.

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+resource: lookup of MSRP for Pokemon TCG products matching a name. It also bounds the universe of results (only products with MSRP on file), so an agent knows exactly what comes back, and it is clearly distinct from siblings like get_retailer_stats or search_tracked_products.

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 an explicit triggering condition: call this before judging a listing as overpriced or a deal as good. That is real when-to-use guidance, though no exclusions or named alternatives are given, so it stops short of full routing.

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