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

With no annotations, the description carries the full burden and does real work: it discloses that results are 'sanitized public' fields and enumerates the quality gate (publicly active, 100+ char description, at least one photo, geo coordinates). It omits pagination behavior and any auth/rate-limit context, which keeps it out of 5 territory.

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 tight sentences: the purpose leads, and the result-shape/quality-filter detail follows. No filler, no repetition of the name or title.

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?

With no output schema, the description compensates by listing the returned fields (name, description, address, phone, hours, photos, booking links) and the quality filter, which is what an agent needs to set expectations. Pagination semantics are left to the schema, a minor gap for a search tool.

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 description coverage is 100%, so q, category, page, and limit are already documented in the schema. The description only restates keyword/category filtering and adds no syntax, format, or matching-semantics detail, so the baseline of 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?

States a specific verb and resource ('Search VailVacay business listings') plus the two filter axes (keyword, category), which is enough to distinguish it from the category-enumeration sibling. It stops short of naming list_categories as the alternative, so it is clear but not fully sibling-differentiated.

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 phrase 'by keyword and/or category' implies when the tool is useful, but there is no explicit guidance on when it should be preferred over list_categories or what to do with zero-match results. Usage is inferable rather than stated.

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