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

No annotations are provided, so the description bears the full behavioral burden and does not carry it. It does not state whether matching is substring, case-insensitive, or ranked, what the results look like, or that the operation is read-only and non-destructive.

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?

A single efficient sentence with the scope constraint front-loaded and zero filler. It borders on under-specification rather than being verbose, which keeps it from scoring lower.

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 two-parameter search with no output schema and no annotations, the definition is minimally adequate. Missing details that matter here are matching semantics and result ordering, which an agent would want before relying on the results.

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%, with both query and limit fully documented in the schema, so the baseline is 3. The description adds only that the query applies to title and description fields, with no syntax or matching detail beyond that.

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 names a specific verb (Search) and resource (feedback items) and narrows the search scope to title or description. It implicitly contrasts with list_feedback, but never names that sibling explicitly, so the differentiation must be inferred.

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?

Mentioning search-by-keyword implies usage (use this when you have a term rather than browsing everything), but there is no explicit when-to-use vs. when-not guidance and no mention of list_feedback as the alternative for unfiltered retrieval.

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