p0010074_query_software_copyright_info

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

No annotations provided, and the description omits behavioral traits such as pagination behavior, authorization requirements, or rate limits. The agent is left uninformed about side effects or constraints.

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 two sentences long, front-loaded with the main purpose, and contains no redundant information.

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?

The description adequately states the purpose and key input, but lacks usage guidelines and behavioral details. An output schema exists but is not sufficient to compensate for missing guidance on when and how to use.

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 description adds meaning for the required 'ent_info' parameter (allowed inputs: name, credit code, registration number), but ignores 'page_no', 'page_size', and 'extra_params'. With 0% schema coverage, more parameter context is needed.

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 explicitly states it queries 'enterprise software copyright information' and specifies the input criteria (enterprise name, unified social credit code, or registration number). This distinguishes it from sibling tools like trademark or patent queries.

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?

No guidance on when to use this tool vs alternatives (e.g., work copyright query). It only describes what it does, without scenarios or exclusions.

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