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

No annotations are provided, so the description carries the full behavioral burden. It does disclose a result cap ('Up to 50 rows'), which is useful, but says nothing about matching semantics (exact/prefix/fuzzy, case sensitivity), ranking, pagination, or auth requirements.

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?

A single front-loaded sentence covering the query target and optional filters, with the row cap appended. No filler, though the run-on structure slightly reduces scannability.

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 4-param search tool with no annotations and no output schema, the description covers parameter formats and the result cap but omits matching behavior, default limit, and pagination guidance.

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 0% schema coverage, the description compensates well by explaining that region accepts an id or name and service accepts a slug or name, and that q matches five named fields. Only limit lacks explicit semantics beyond the implicit 50-row cap.

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?

States a specific verb (search) and resource (entities of the 'Bags That Pay' register) and enumerates which fields the query matches. It is clearly distinct from siblings like entities_export or entity_lookup, though it does not name them explicitly.

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?

No explicit when-to-use or when-not-to-use guidance and no alternatives referenced. The optional region/service scoping hints at a filtering use case, but the agent must infer which sibling (entity_lookup, entities_in, entities_export) to pick instead.

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