optimize_vector_database

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

With no annotations provided, the description carries full burden for behavioral disclosure. While it mentions the tool optimizes for performance, it doesn't describe what the optimization actually does (reindexing? compression? cache management?), whether it requires downtime, how long it takes, what permissions are needed, or potential risks. The return statement is vague ('有关优化过程的信息' - information about the optimization process).

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 appropriately concise with a clear purpose statement followed by bulleted usage scenarios and a return statement. Each section earns its place, though the return statement could be more specific. The structure is logical and front-loaded with the main purpose.

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 that the tool has no parameters, an output schema exists, and annotations are absent, the description provides adequate basic information about purpose and usage scenarios. However, for a performance optimization tool that likely involves significant system changes, the description lacks important behavioral details about what the optimization entails, its impact, and safety considerations.

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 tool has 0 parameters with 100% schema description coverage, so the schema already fully documents the parameter situation. The description appropriately doesn't discuss parameters since none exist, earning a baseline 4 for not creating confusion about non-existent parameters.

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 the tool's purpose as '优化向量数据库以提高搜索性能' (optimize vector database to improve search performance), which is a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'reindex_vector_database' or 'clear_embedding_cache_tool', which might serve related performance purposes.

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 provides three clear usage scenarios (slow search, many new documents added, wanting overall performance improvement), giving good context about when to use this tool. However, it doesn't specify when NOT to use it or mention alternatives among the sibling tools, which would be needed for a perfect score.

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