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

No annotations are supplied, so the description carries the full burden, and it discloses almost nothing: it does not say whether the tool generates a document, returns a prompt template, requires any context, or what the caller receives. The only behavioral hint is that the payload is a 'prompt and operating playbook', which is thin for a generation tool.

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, all of them promotional ('Save hours every week', 'battle-tested', 'No setup'). Nothing is front-loaded about capability or invocation, so the brevity reflects missing substance rather than efficiency.

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 no annotations and no output schema, the description is the only source of behavioral information, and it omits what the tool returns, what domain input it needs, and how results differ from the check/tpl siblings. An agent could not confidently choose or invoke it from this text alone.

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?

Schema description coverage is 100% for the single optional 'query' parameter, so the schema already explains its meaning. The description adds nothing about how a query scopes the output, but the baseline of 3 applies when the schema does the documenting.

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 restates the tool name ('prd gen tool') and pads it with marketing language ('battle-tested prompt and operating playbook for restaurant/brand growth'), but never states what the tool actually produces or does when invoked. It gives no signal to distinguish it from close siblings such as rd-prd-check-tool or rd-prd-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?

'No setup, works in any LLM chatbot' is a sales claim, not usage guidance. There is no statement of when to call this tool, what inputs it expects, or which sibling to prefer for checking or templating a PRD instead of generating one.

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