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

With no annotations provided, the description carries the full behavioral burden, and it does almost none of that work. It never states whether the tool performs a read-only retrieval of static prompt text, whether the output is deterministic, how the 'query' scopes the result, or what a caller receives beyond a vague 'prompt pack'. The one useful disclosure — that the payload contains a prompt, usage guide, and edge-case handling — is the only concrete behavioral detail.

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, but the lead sentence 'Turn expertise into output' is filler and pushes the only substantive content (the prompt/usage-guide/edge-case payload) to the end. The structure is clean but not front-loaded with useful information.

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 tool is structurally simple (one optional param, no output schema), yet the description leaves the key question unanswered: what does the agent actually get back, and how does this template tool relate to the four sibling repurchase tools? Given the dense sibling namespace, that omission is significant.

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?

There is a single optional parameter with 100% schema description coverage, so the schema already defines 'query' as an optional scoping string. The description adds nothing about how the query is used or what happens when it is omitted, which meets but does not exceed the baseline for fully-covered schemas.

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 says it is a 'repurchase tpl tool prompt pack' that 'includes the complete prompt, usage guide, and edge-case handling', which hints the tool returns a prompt template rather than an analysis. However, the opening line 'Turn expertise into output' is pure marketing, and nothing distinguishes this from the sibling repurchase-analyze-tool, repurchase-board-tool, repurchase-diag-tool, or repurchase-formula-tool. An agent cannot tell which repurchase variant to pick from this text.

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 at all. 'Helps restaurant and brand teams produce professional results in minutes' is a value claim, not a routing rule, and no alternative sibling is named or excluded.

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