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

Annotations already mark the tool as read-only and idempotent, and the description adds meaningful behavioral detail: results are grouped into A (meets all), B (fails a named requirement with both figures quoted), and C (could fit, data missing), with verdicts citing the datasheet page. This goes beyond the annotations and helps the agent interpret the response. No contradiction found.

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?

The description is compact and front-loaded: purpose first, then the A/B/C grouping, then the omission guidance, and finally the category list. The category list is somewhat redundant with the schema enum but serves as a convenient quick reference. Every sentence earns its place.

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 tool with 63 optional parameters and no output schema, the description provides essential context: the A/B/C classification, datasheet citations, and the instruction to omit irrelevant parameters. It does not specify result ordering, pagination, or limits, but the core behavior is sufficiently covered given the rich schema and annotations.

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 each parameter described with units and allowed values (e.g., 'band: UHF|VHF|S|X|L|C|Ku|Ka'). The description adds only a general rule—omit parameters you do not care about—and repeats the category enum in prose. It contributes little beyond the schema, so baseline 3 is appropriate.

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 defines a specific operation: reverse search over a typed spec layer, passing a category and engineering requirements, returning catalogued items grouped as A, B, or C. It names the resource and the output classification, clearly distinguishing the tool from siblings like get_component_specs via the 'reverse search' framing.

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 description clearly conveys when to use the tool: to find components matching engineering requirements, with an explicit instruction to 'omit parameters you do not care about.' It also enumerates valid categories. However, it does not explicitly contrast with sibling tools like build_budget or get_component_specs, so there are no stated when-not/alternatives.

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