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

With no annotations, the description carries the full behavioral burden. It does hint at the deliverable shape ('copy-paste prompt pack with examples'), which is the one useful disclosure, but it says nothing about what the tool computes, whether it produces a plan or just meta-instructions, or what the caller receives. That leaves the core behavior opaque.

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?

Only two sentences, but they are almost entirely promotional filler ('production-ready', 'structured, repeatable workflow', 'you can run today'). The one substantive detail — a copy-paste prompt pack with examples — is buried at the end rather than front-loaded.

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?

The tool is simple (one optional param, no output schema), so the description needn't explain return values, but it must explain what the tool produces. Instead it describes the artifact as a 'prompt pack', which is ambiguous — it is unclear whether the tool generates a dinner order plan or a set of prompts for producing one. That ambiguity is unresolved for an agent deciding how to use the output.

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 documents 'query' as an optional scoping input. The description adds nothing about how the query shapes the analysis. Baseline 3 applies because the schema does the work and the description neither helps nor contradicts.

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 largely restates the name ('dinner order planner system') and pads it with marketing phrasing ('production-ready', 'repeatable workflow you can run today'). It never states the concrete operation the agent performs — planning a dinner order from what inputs, producing what artifact — so an agent cannot tell what invoking it actually does versus siblings like food-delivery-ops or meal-prep-planner.

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?

The only audience cue is 'marketing and operations leaders', which is a target persona, not a usage condition. There is no guidance on when to pick this tool over the many nearby alternatives, no prerequisites, and no exclusions. 'You can run today' is promotional rather than directive.

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