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

With no annotations, the description carries the burden and adds useful behavior: it names the index used (idx_serial) and quotes sub-millisecond latency. It does not discuss permissions or failure behavior (e.g., what 'found: false' implies), so not 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?

The definition is front-loaded with purpose, then usage, then param, then return shape. It is efficient, though the inline return-shape summary is somewhat verbose for the value it adds.

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 no output schema, the description usefully sketches the return shape ({serial, found, result:{mark, legal_status, applicant, risk_level}}), which is important for an agent. The unmentioned 'country' parameter is the main remaining gap.

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 0%, so the description must compensate. It documents 'serial' with format guidance and an example ("78414956"), but the 'country' parameter is never mentioned in the text, leaving half the parameters undocumented.

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 states a specific verb (查/lookup) and resource (商标 by serial number) and emphasizes exact matching, which implicitly distinguishes it from text-search siblings. It does not explicitly name an alternative sibling, keeping it at 4 rather than 5.

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?

It gives a clear when-to-use cue: when the serial number is already known (e.g., from an infringement notice). No explicit when-not or named alternative sibling is provided, so it falls short of 5.

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