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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds meaningful behavioral context by enumerating exactly what data is included and how it is grouped, which helps the agent set expectations about the returned content.

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 a single dense sentence with multiple parenthetical enumerations. It is information-rich but reads as a run-on, and the long list of interface ports could be more scannable. The core purpose is front-loaded, which helps, but the structure is not as clean as it could be.

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?

With only two optional parameters and no output schema, the description must explain what the tool returns, and it does so thoroughly: full data details and property dictionary grouping by port. It covers likely use cases and value granularity. Minor omissions like pagination or response format are not critical for a read-only spec retrieval tool.

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?

The input schema fully documents both parameters, category and confidence, including enums, defaults, and short descriptions (100% schema coverage). The description does not add parameter-level syntax or behavior beyond what the schema already provides, so the baseline score of 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 clearly states what the tool returns: the full typed data layer for a component category, including every item, value, unit, bound, measurement condition, datasheet source page, and confidence. It conveys a read/retrieval purpose with strong specificity. However, it does not explicitly distinguish itself from sibling tools like build_budget or match_components.

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 phrase 'for arbitrary comparison, budgeting or trade studies on your side' gives an implied usage context: call this when raw, complete data is needed for the user's own analysis. It does not explicitly state when to prefer siblings or when not to use this tool, leaving some routing to inference.

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