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

With no annotations, the description carries the full behavioral burden, yet it discloses nothing about whether the tool generates, mutates, or merely packages prompt content, nor about side effects or auth needs. 'Ships as a full prompt kit with step-by-step instructions' faintly hints at the deliverable, but it is a sales line rather than behavioral disclosure.

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 all three are marketing filler ('instantly', 'no prompt engineering needed', '30-day support promise') that do not help an agent decide or call. The front-loaded content is the least useful part of the definition.

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?

No annotations, no output schema, and a description that never says what the tool returns or how its output differs from the check and tpl siblings. For a zero-required-param generator whose only differentiator is what it produces, that is a substantial gap.

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 ('Optional user query to scope the analysis'), so the schema already explains it. The description adds no syntax, format, or scoping semantics beyond what is structured — baseline 3 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 promotional copy ('AI-powered restaurant & brand intelligence pack', 'no prompt engineering needed') that never states the actual operation. It never uses the word 'story' or explains what a story-gen tool produces, and 'restaurant & brand intelligence' actively conflicts with the R&D-oriented siblings rd-story-check-tool and rd-story-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 statement of when to use this versus rd-story-check-tool (validation) or rd-story-tpl-tool (templates), which are the obvious alternatives the agent must choose between. The only 'guidance' is marketing reassurance, not an invocation condition.

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