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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds value beyond them by disclosing the return shape (schema.org place types with reasons and citable URLs) and the effect of the summarize mode, which annotations do not convey. Remaining gaps are minor: no mention of result limits or empty-result behavior.

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 dense sentences that front-load purpose, then usage, then return shape, with no filler. Some jargon ("NLWeb-style") and parenthetical type lists cost a little readability without adding much for an agent.

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 carries the burden of describing results and does so (place types, reasons, URLs, summarize mode). It is adequate for a three-parameter read tool, missing only edge details like truncation or no-match responses.

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 67%; query and top_k are documented in the schema, and the description explains what the otherwise-undescribed mode enum value "summarize" actually does. That is genuine added meaning, but top_k's default/limit behavior and the "list" mode are left to the schema alone, so the compensation is partial.

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 names a specific operation and resource (natural-language query over Remote Vegas) and scopes it to open questions that don't map cleanly to filters, which implicitly separates it from the filter-based siblings (search_spots, recommend_spot). It stops short of naming an alternative explicitly, so an agent must infer the routing rather than read it.

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?

Clear when-to-use guidance with a concrete example ("somewhere with a view to work on a Sunday morning") that shows the intended free-form case. There is no explicit when-not or named-alternative clause, so the negative side of the routing decision is left implicit.

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