search_tools

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

No annotations are provided, so the description carries the burden. It states that it returns matching tool definitions ranked by relevance, which is a behavioral trait. It also mentions the format is same as list_tools, which is useful. However, it doesn't disclose any side effects, rate limits, or other behavioral details. Given the tool is a search operation, this is adequate but not rich.

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 concise, two sentences, and front-loaded with the purpose. Every sentence adds value: the first states what it does, the second clarifies the return format. No waste.

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 tool is simple with one parameter and an output schema. The description explains the return format (same as list_tools) and ranking by relevance. Given the simplicity and the presence of an output schema, the description is complete enough. It could mention that it's a read-only operation, but that's not critical.

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 100%, so the schema already documents the single parameter 'query' as a natural language query. The description adds no additional meaning beyond that. Baseline 3 is appropriate since the schema does the heavy lifting.

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: searching for tools using natural language. It specifies the action (search) and the resource (tools), and distinguishes it from siblings like list_tools by mentioning the return format. However, it doesn't explicitly differentiate from other sibling tools like call_tool, but the purpose is clear.

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 implies usage: when you need to find tools by natural language query. It mentions the return format is same as list_tools, which gives some context. However, it doesn't explicitly state when to use this vs alternatives, nor does it provide exclusions or alternative tool references. The guidance is minimal but not misleading.

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