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

No annotations are provided, so the description carries the full behavioral burden. It hints at ranking and evidence backing, but says nothing about result volume, pagination, latency, or what 'evidence_checked' means operationally, which matters because it appears to be a read/search operation with ranked output.

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?

Two short sentences, front-loaded with the problem-oriented framing, with no filler. It is efficient, though the second sentence is a dense list of outputs that could be slightly clearer about ordering.

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?

For a 5-parameter search tool with no annotations and no output schema, the description should explain the shape and ranking of results and how multi-component paths are returned. It gestures at these outputs but leaves the agent guessing about result structure and how the include_partial and verified_only filters change what comes back.

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 100%, so every parameter is already documented in the schema and the description needn't restate them. It adds only the framing that the goal drives decomposition and multi-component paths, which is modest added meaning. Baseline 3 applies.

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+resource: it searches capabilities by decomposing a technical goal into concepts, category routes, solution paths, and ranked evidence-backed projects. That is far more informative than the bare name, though it doesn't explicitly differentiate itself from sibling browse_categories, which also appears to navigate categories.

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 frames the tool as 'problem-oriented' and requires a goal, implying use when the agent has a technical problem to solve rather than browsing. But it names no alternatives and gives no when-not guidance, so the agent must infer why it would choose this over browse_categories or compare_projects.

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