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

No annotations exist, so the description carries the full burden and largely drops it. 'Includes the complete prompt, usage guide, and edge-case handling' faintly implies the tool returns a prompt/template package rather than performing an analysis, but it never confirms this, nor states whether the call is a read-only retrieval, whether it mutates state, or whether it needs any credentials.

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 open with a slogan that conveys no actionable information ('Turn expertise into output'). The remaining content is a packaging pitch rather than front-loaded operational detail, so the text is short but wasted on non-substance.

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 one optional parameter, no annotations and no output schema, the tool is simple enough that the description would not need to be long — but the description omits the one thing an agent needs, namely what calling it actually produces or returns. It is not misleading, just uninformative for a tool whose purpose the name alone does not settle.

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, and the schema already documents it at 100% coverage ('Optional user query to scope the analysis'). The description adds no meaning about how the query changes the output or what an empty query yields, so the baseline applies.

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 is marketing copy ('Turn expertise into output', 'produce professional results in minutes') rather than a statement of what the tool does. Only the phrase 'report diag tool prompt pack' hints at the resource, and it never says what a caller gets back or what diagnosing a report means here, nor how it differs from report-analyze-tool, report-board-tool, report-formula-tool or report-tpl-tool.

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, when-not-to-use, or prerequisite guidance of any kind. With four sibling report tools present, the agent is given no basis for choosing this one over them, and 'restaurant and brand teams' is a marketing audience, not a usage condition.

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