turkey_hotels_explorer_ratings_amenities

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

No annotations exist, so the description carries the full behavioral burden. It does disclose the returned data dimensions (rates, review scores, stars, board types, amenities), which helps an agent judge relevance, but it says nothing about source, data freshness, whether results are live-scraped or cached, rate limits, or failure behavior. For a scraping-style read tool with zero annotation coverage, that leaves meaningful gaps.

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 that enumerates the extracted fields with no filler or repetition. Every clause contributes information about what the tool returns.

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 tool is simple (two optional params, no output schema), and the description usefully enumerates the return dimensions in place of an output schema. However, for a pricing tool it omits currency, whether rates are per-night per-room, occupancy assumptions, and data freshness/source — all material for interpreting results. Adequate but with clear gaps.

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 100%: both parameters have descriptions, defaults, and an example list (istanbul, antalya, bodrum) for cities. The description adds only the implicit notion of multi-city targeting via "across Turkish destinations," which is already clear from the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

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 gives a specific verb ("Extract") plus a concrete resource set (nightly rates, guest review scores, star ratings, board types, amenities) scoped to Turkish destinations. An agent can immediately tell this is hotel data collection, which is distinct from every listed sibling (flights, car rental, classifieds, FX, etc.). It stops short of naming or contrasting any sibling, so it lands at 4 rather than 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?

There is no when-to-use guidance, no when-not-to-use, and no named alternative. The agent must infer the use case (Turkish hotel price/quality research) purely from the resource list. Nothing indicates what to do instead if the caller wants flights, rentals, or non-Turkish hotels.

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