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 disclose the matching fields and a result cap ('Up to 50 rows'), which is useful. However it omits permission/auth requirements, pagination or truncation behavior beyond the cap, matching semantics (case sensitivity, substring vs fuzzy), and what happens when q is omitted despite q not being required.

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 dense sentence that front-loads the resource and scope before the optional filters, with the row cap as a trailing constraint. No filler, though the clause chain is long enough that it reads as slightly run-on.

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-parameter, 0%-coverage tool with no annotations and no output schema, the description covers the inputs well but leaves the agent without any picture of the return shape or result ordering. It is adequate to call the tool but not complete enough to predict its 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?

Schema coverage is 0%, so the description must compensate, and it largely does: q is the text matched across five named fields, limit is bounded at 50 rows, region accepts an id or a name, and service accepts a slug or a name. That id-or-name / slug-or-name flexibility is genuine information the bare string-typed schema does not convey.

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 in the DamageRestore HQ register), and enumerates the fields matched (name, commercial name, website, address, authority), so the agent knows exactly what retrieval this performs. It does not explicitly distinguish itself from siblings like entity_lookup or entities_in, which likely overlap on region-scoped retrieval.

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?

Usage is implied by the description of what the query matches, but there is no explicit when-to-use or when-not-to-use guidance and no named alternative (entity_lookup, entities_in, entities_export). The agent must infer that this is the free-text discovery tool versus the exact-lookup sibling.

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