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

No annotations are supplied, so the description carries the full disclosure burden, and it discloses almost nothing: it does not say whether the tool reads or writes, what the response contains, or how the "prompt pack" is delivered. The only behavioral claim is that it "includes the complete prompt, usage guide, and edge-case handling," which describes the artifact's contents rather than the tool's behavior.

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 sentences of promotional copy where a single sentence of functional description is needed; the actual purpose is never front-loaded. Nearly every phrase ("produce professional results in minutes," "complete prompt, usage guide, and edge-case handling") is filler relative to the agent's decision needs.

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?

With no annotations, no output schema, and a vague name, the description is the only source of context and it leaves the core questions unanswered: what output an agent gets back and how it differs from the other retention tools. It is not adequate for even a one-parameter tool in a crowded sibling namespace.

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?

The tool has a single optional parameter ("query") with 100% schema description coverage, so the schema already documents it and the baseline of 3 applies. The description adds no meaning about what the query scopes or how a scoped analysis differs from an unscoped one.

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 opens with a slogan ("Turn expertise into output") and then largely restates the name: "This retention tpl tool prompt pack." It never states a concrete verb+resource action (e.g., "generates a retention-analysis prompt template") and gives no way to distinguish it from siblings like retention-analyze-tool, retention-diag-tool, or retention-formula-tool. Only the audience mention ("restaurant and brand teams") adds any real information.

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?

There is no when-to-use or when-not-to-use guidance, and no alternative is named, despite four close retention siblings in the tool list. The phrase "helps restaurant and brand teams produce professional results in minutes" is marketing positioning rather than a selection criterion.

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