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

With no annotations, the description carries the full burden of behavioral disclosure. It says the pack 'includes the complete prompt, usage guide, and edge-case handling,' which hints at return contents, but it does not clarify whether the tool retrieves a static prompt pack, generates content, requires authentication, or how the optional query affects 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?

The description is short and front-loads the 'Turn expertise into output' hook, but that phrase is marketing fluff rather than useful specification. The final sentence listing included components is more informative, but the overall text could be tighter and more directly actionable.

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 tool with one optional parameter and no output schema or annotations, the description should clarify what the tool returns and how the query is used. It only vaguely says it is a prompt pack with a prompt, usage guide, and edge-case handling, leaving the agent without enough information to invoke it confidently or understand the output.

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 one optional parameter with 100% schema description coverage, so the schema already explains that 'query' scopes the analysis. The description adds no additional meaning about the query's format, effect, or examples, so the baseline of 3 is appropriate.

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 identifies a 'sales formula tool prompt pack' for restaurant and brand teams, but the actual action is vague: 'Turn expertise into output' and 'produce professional results in minutes' do not state a concrete verb or resource. It also does not distinguish this tool from siblings like sales-analyze-tool, sales-diag-tool, or sales-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 explicit guidance on when to use this tool versus the many sibling sales tools. The audience mention ('restaurant and brand teams') implies a context, but it does not tell an agent what situations should select this tool or when to avoid it.

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