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

Annotations already cover safety (readOnly, idempotent, non-destructive, closed-world), so the description's added value is the disclosure of ranking behavior and a return summary: ranked hits with URLs plus the most likely tool and capabilities. With no output schema, that return-format statement is genuinely useful. Nothing contradicts the annotations.

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?

Three short sentences, front-loaded with the verb-resource pairing, then an example, then return behavior. Every sentence earns its place; the parenthetical gloss on 'capabilities' is slight filler but harmless.

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 3-parameter read-only search with full schema coverage and no output schema, the description supplies what the structured fields can't: matching semantics (synonyms) and the shape of results. Nothing an agent needs to invoke it correctly is missing.

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 query, kinds, and limit; the baseline is 3. The description loosely gestures at the kinds dimension ('software products, capabilities, replacement workflows') but adds no syntax or constraint detail beyond the schema.

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?

States a specific verb (natural-language search) and resource (catalog) with scope enumerated as software products, capabilities, and replacement workflows. The synonym example makes the matching behavior concrete. It doesn't name or contrast with siblings like find_workflows or get_tool, so differentiation is only partial.

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?

Usage is implied — this is the broad discovery entry point covering the same space as several siblings — but there is no explicit when-to-use, when-not-to-use, or named alternative. An agent must infer whether to start here or call find_workflows / get_tool directly.

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