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

With no annotations, the description carries the full behavioral burden and falls short. It does not say whether the tool returns static content, generates anything, whether the output is deterministic, or what the agent should do with the result beyond a vague 'prompt pack'.

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?

Two sentences, reasonably front-loaded, but they contain filler ('production-ready', 'you can run today') that dilutes the informational value. Not verbose, but also not dense with meaning.

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 simple single-optional-parameter tool with no output schema, the description should clarify exactly what the agent receives and how the scoping query affects it. Instead it describes a product pitch rather than the tool's actual return behavior, leaving the agent unable to predict the result.

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?

Only one optional 'query' parameter exists and the schema documents it at 100% coverage with a clear scoping description. The tool description adds no further semantics about how the query shapes the output, so 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 largely restates the tool name ('picky eater fix system') and pads it with marketing language ('production-ready', 'run today', 'copy-paste prompt pack'). The only concrete signal is that it delivers a prompt pack with examples, but the actual operation (generate? retrieve? template?) is left ambiguous and not distinguished from the near-identical sibling picky-eater-fix-lite.

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 guidance on when to use this tool versus alternatives. The closely related picky-eater-fix-lite sibling is never referenced, and no preconditions, exclusions, or selection criteria are given.

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