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

Annotations already declare readOnly/idempotent/non-destructive and openWorldHint=false, so the safety profile is covered; the description adds that results are ranked by editorial score and that venues are resolved to ids and page URLs. The parenthetical '(read-only)' is redundant with annotations but not contradictory.

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?

Usage trigger and examples come first, followed by a single sentence covering scope, read-only status, and result shape. No filler sentences.

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 a full output schema and fully documented parameters, the description only needs to convey scope, ranking, and result elements — all of which it does. An agent has everything required to call it correctly.

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% and already documents city slugs, the limit cap, free-text query, and optional country. The description adds nothing parameter-specific, so the baseline 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 resource (signature dishes of a city) plus the second half of the job (where to eat them), which cleanly separates it from peers like place, cities, and things_to_do. The concrete example queries remove any ambiguity about the output.

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?

Gives clear triggering conditions with three quoted user phrasings covering both 'what to eat' and 'where to find a specific dish'. It stops short of naming alternatives or exclusions (e.g. when to prefer place or search_places instead), so it is strong but not a full routing rule.

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