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

No annotations are supplied, so the description carries the full burden of behavioral disclosure. It hints that the tool 'ships as a full prompt kit with step-by-step instructions', implying a generated-instructions return, but never states side effects, whether anything is persisted, or what the response contains; the '30-day support promise' is sales copy, not 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?

Three sentences of promotional framing with no front-loaded statement of what the tool does. Sentences two and three ('ships as a full prompt kit', '30-day support promise') sell the product rather than inform invocation, so the text is padded rather than concise.

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, no output schema, and no sibling differentiation, the description is the only source of truth and it delivers marketing instead of capability. For a generation tool in a large family of near-identically named notice-* tools, the omission of output shape and selection criteria leaves an agent unable to use it correctly.

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 coverage is 100% and the single optional 'query' parameter is documented in the schema as a scope limiter. The description adds nothing about the parameter — no format, expected content, or effect of omitting it — so the schema does all the work and the 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 leads with 'AI-powered restaurant & brand intelligence pack', which misdirects toward restaurant analytics rather than notice generation, and the only purpose statement ('generate a ready-to-use notice gen tool workflow') restates the tool name tautologically. It never says what a 'notice gen' operation actually produces, and with nine notice-* siblings (notice-write-tool, notice-tpl-tool, notice-polish-tool, notice-summary-tool, etc.) an agent has no basis to choose this one.

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 guidance, no exclusions, and no named alternative among the notice-* family. The only usage-adjacent claims are marketing ('no prompt engineering needed', '30-day support promise'), which do not help an agent decide between this and notice-write-tool or notice-tpl-tool.

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