szlcsc_library_audit

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

The description explicitly marks the tool as read-only ('只读'), which partly compensates for the lack of readOnlyHint annotation. It discloses the audit focus areas. However, it does not explain behavioral traits such as whether the tool reaches out to the network, what happens if hashes mismatch, or what the output schema's fields mean. With no annotations provided, the description carries the full burden but only partially fulfills it.

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-line sentence that packs purpose, read-only nature, and audit scope. Every part earns its place. It is appropriately front-loaded with the key behavioral trait ('只读') and the action ('审计'). No redundancy or filler.

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 0% parameter coverage, no annotations, and a non-trivial output schema that is entirely undocumented, the description is far from complete. It does not explain what the tool returns, how to interpret results, or how to correctly set parameters. The complexity is moderate, but the description leaves too many gaps for an agent to use this tool reliably.

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 description coverage is 0%, so the description must compensate by explaining all three parameters. It only vaguely implies the tool checks integrity and mentions 'identifiers' in the context of library audit, but does not explain what 'identifiers' are (e.g., filenames, part numbers), how 'library_root' is used, or what 'verify_hashes' actually does. This is insufficient for correct invocation.

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 a read-only audit action on a library, and specifies three audit areas: 'classified/flat', 'CAD owner', and 'index and file integrity'. This differentiates it from the many sibling tools that write, sync, search, or import. However, the term '长期器件库' (long-term component library) is domain-specific and may not be universally understood by an AI agent.

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 is provided on when to use this tool versus the many sibling tools such as szlcsc_library_status, szlcsc_library_sync, szlcsc_library_search, or szlcsc_library_repair. The agent is left to infer the purpose from the name and description alone. No exclusions or alternatives are mentioned.

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