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

No annotations are provided, so the description carries full responsibility. It states behavior (random selection, filters applied) but omits critical details such as what happens when no entries match, whether the selection is uniformly random, and whether it modifies any state. The description is too terse to fully inform the agent about edge cases.

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 a single, concise sentence with illustrative examples, making it easy to read. It avoids unnecessary verbosity. The structure is acceptable for a simple tool, though a bulleted list of parameters could be more organized.

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 description does not explain what an 'entry' is, how kind and filters interact, or that kind is required. It does not mention output format or error behavior. Given the nested filters object and the need to understand catalogue-specific fields, the description leaves too much to the schema alone.

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?

Schema descriptions cover 100% of parameters with detailed explanations, including the filters format and examples. The description text adds little beyond the schema, only referencing filters. Since schema coverage is high, the baseline is 3; the description does not degrade or elevate this.

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 action (return one entry at random) and the resource (entry), and provides concrete examples of use cases (loot tables, mineral of the day). It distinguishes from siblings like random_track by focusing on entries, though it does not explicitly name alternatives. The title and name reinforce the purpose.

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 gives examples of when to use the tool (e.g., for a loot table) but does not explicitly state when to prefer this over list_entries, search_encyclopedia, or random_track. It lacks guidance on alternative tools or exclusions, leaving the agent to infer from context.

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