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

No annotations are provided, so the description must carry the behavioral transparency burden. It only discloses that the data is 'cached' but omits details such as result ordering, pagination behavior, filtering semantics, and data freshness. This is minimal for a search tool with six parameters.

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 a single, front-loaded sentence with no filler. It communicates the core purpose efficiently while leaving detailed parameter semantics to the schema.

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 schema and output schema cover most operational details, and the description provides the essential purpose and the 'cached' caveat. However, the lack of when-to-use guidance and behavioral nuance makes it only minimally complete for a six-parameter search tool.

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 baseline is 3; the schema thoroughly documents each parameter, including the source/sources precedence. The description itself adds no parameter-level meaning beyond the generic 'full-text search' phrase.

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 identifies a specific action ('Full-text search') and resource ('cached feedback items'), making its purpose immediately understandable. It distinguishes itself from sibling tools focused on pain points, sentiment trends, and synthesis.

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 context is implied by the 'full-text search' phrasing and sibling tool names, but no explicit guidance is given for when to choose this over alternatives. It also does not mention exclusions or when a different tool would be more appropriate.

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