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

No annotations are supplied, so the description carries the full behavioral burden, yet it only offers sales language ('no prompt engineering needed', '30-day support promise'). It never says what invoking the tool actually returns, whether anything is persisted, or what the 30-day support promise means operationally, none of which is recoverable from structured fields.

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, but roughly half the text is marketing boilerplate ('instantly', 'no prompt engineering needed', '30-day support promise') that does not help an agent decide or act. The most informative line, the one naming the meal prep planner workflow, is buried behind an unrelated 'restaurant & brand intelligence pack' lead-in.

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 context, and it omits what the tool returns (a prompt kit? a plan document?), its format, and its length. For a generation tool whose entire value is the artifact it produces, that gap is material despite the simple one-parameter schema.

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 single optional 'query' parameter is fully documented in the schema, including that it scopes the analysis, so schema coverage is 100% and the baseline is 3. The description contributes nothing about how the query is interpreted or what a scoped versus unscoped run produces.

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 second sentence names a verb and resource ('generate a ready-to-use meal prep planner workflow'), but the opening sentence describes it as a 'restaurant & brand intelligence pack', which is a different domain than the tool name suggests. The mixed framing forces an agent to reconcile two unrelated concepts before deciding what the tool actually produces.

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 sibling to prefer. The catalog contains many adjacent meal/planning tools (fatloss-meal-planner, home-recipe-planner, dinner-order-planner, fridge-clearing-menu), and the description gives no basis for choosing among them.

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