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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false, so baseline is lower. The description adds valuable context beyond annotations: no currency conversion, ratings are calculated estimates not play tests, source prices don't imply stock or medical suitability. This rich behavioral disclosure earns a 4, though it doesn't clarify result ordering beyond what the sort parameter schema already says.

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-loads the core action and filter scope in the first sentence, then lists behavioral caveats in subsequent compact sentences. No filler; every sentence adds distinct information about matching, currency, and data limitations.

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?

Given 13 parameters, 0 required, no output schema, and read-only annotations, the description covers the essential usage, constraints, and behavioral caveats an agent needs. It clarifies that results are bounded and that sorting affects ranking, which is crucial for correct invocation.

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 85%, so baseline is 3. The description adds meaning beyond the schema by explaining that all query words must match, that currency is required with maxPrice and that a dollar sign alone does not identify a currency, and that ratings are estimates. This compensates for the remaining undocumented parameter nuances.

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 (searches) and resource (published padel-racket records) plus the exact filter axes: model/brand words, year, shape, budget currency, calculated characteristics. Distinguishes itself from siblings like get_racket or compare_rackets by scoping to catalogue retrieval.

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?

Clear context for when structured fields should be used (e.g., 'Express price, year and rating constraints with their structured fields'). It also explains that all query words must match and that a price filter requires an explicit currency. However, it doesn't explicitly name alternatives like compare_rackets or get_racket for when those are preferable.

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