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

The description discloses destructive behavior (ingredients permanently withdrawn), rate limits (20 free makes per day), response contents (reading-cost meter, consumed_ingredient_ids), and special preconditions (Gazette room workflow). This goes well beyond the annotations, which only declare destructiveHint and readOnlyHint, providing rich behavioral context.

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?

The description is front-loaded with the core purpose and then provides detailed conditions and workflows. It is long, but every sentence adds value, covering prerequisites, behaviors, and special cases. It is not overly verbose for the complexity, but could be tightened by moving the catalog and front-door pointers to a separate help section.

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 tool with 6 parameters, no output schema, and no enums, the description is exceptionally complete. It covers return values, parameter interdependencies, error conditions (retired place), rate limits, and even a location-specific protocol. Nothing an agent needs to call it correctly is missing.

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?

With 67% schema coverage, the description compensates by explaining the meaning of place_id (must be active/yours or open), name (1-120 safe characters), ingredient_ids (must be empty unless kind_id supplied, withdrawn on success), and open_to_use default. It adds substantial semantics beyond the schema, particularly for parameters lacking descriptions.

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 clearly states the tool creates a text thing with a specific verb and resource. It distinguishes from generic creation by specifying 'text thing' and mentions constraints, but does not explicitly compare to sibling tools like invent_kind or thing_edit, so it falls short of a 5.

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 description provides conditions (active/owned place, quota limits, retired place behavior) and a specific workflow for Room #454, but it never explicitly states when to use this tool instead of alternatives. The guidance is implied rather than stated, leaving the agent to infer appropriate usage.

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