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

With no annotations, the description must carry the full behavioral burden. It says 'production-ready' and 'copy-paste prompt pack with examples' but does not disclose what actually happens upon invocation—whether it returns a static template, generates content, requires authentication, or has side effects. The optional query parameter's effect is not explained.

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 two concise sentences with no filler. The purpose is front-loaded, and the second sentence adds useful delivery format detail. Minor improvement could come from more direct phrasing, but it is efficiently structured.

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, the description should clarify what is returned and how the playbook is structured. It mentions a 'copy-paste prompt pack with examples' but lacks detail on format or how the query scopes the analysis. It is minimally adequate but leaves gaps for an agent to confidently invoke it.

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 input schema has 100% description coverage, fully documenting the single optional 'query' parameter. The description does not add any additional meaning beyond the schema, which is acceptable given the high coverage. A baseline of 3 is appropriate when the schema does the heavy lifting.

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 states it delivers a 'structured, repeatable workflow' as a 'copy-paste prompt pack with examples', which gives some idea of the output. However, the verb is vague ('Get') and the core action is not clearly specified—it's unclear whether the tool generates, retrieves, or assembles the playbook. It does not explicitly differentiate from the many sibling fnb or brand tools.

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?

No when-to-use guidance is provided. It mentions a target audience ('marketing and operations leaders') but gives no conditions for selecting this tool over alternatives like fnb-* or brand-* siblings. There are no exclusions or prerequisites mentioned.

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