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

With no annotations, the description carries the full behavioral burden, and it leaves most of it uncovered: no indication of whether the tool reads or writes, whether it requires auth or account state, how long it takes, or what it returns. The only substantive hint — that the deliverable is a prompt kit with step-by-step instructions plus 'a 30-day support promise' — is commercial framing rather than operational 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, all marketing register, and none front-loads the actual capability. Phrases like 'AI-powered', 'Instantly generate', 'no prompt engineering needed', and the '30-day support promise' are promotional filler that occupies space a real description should use.

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 zero-required-parameter tool with no annotations and no output schema, the description should at minimum say what artifact comes back and how it differs from the gen/tpl siblings. Instead it repeats a pitch, so an agent cannot predict the result of invoking it or distinguish it from adjacent tools in the ir-* family.

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, so the schema already explains 'query' as an optional scoping input. The description adds nothing about how the query influences the generated workflow, but the baseline of 3 applies when the schema is fully documented.

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 text is marketing copy rather than a functional statement: 'AI-powered restaurant & brand intelligence pack' and 'ships as a full prompt kit' say nothing about what the tool actually does. It also conflicts with its own name — 'ir-tech-check-tool' implies evaluating something, while the description says 'generate a ready-to-use tech check tool workflow', leaving the verdict unclear. No differentiation from the sibling tools ir-tech-gen-tool or ir-tech-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 tool, when not to, or which of the many ir-* siblings to prefer. 'No prompt engineering needed' is a sales claim, not usage guidance, and the description never mentions the alternative check/gen/tpl variants that an agent must choose between.

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