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

With no annotations, the description carries full behavioral load and does so well: it discloses the credit cost, that cache does not change pricing, that failed calls are refunded, that fresh cache-skipping is unavailable on trial credits, and that popular_times is null when unavailable. This is rich, actionable context beyond the schema.

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?

The description is front-loaded with the core purpose and return fields, then moves efficiently through input rules, pricing, and cache behavior. The long field enumeration is justified by the absence of an output schema.

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?

There is no output schema and no annotations, so the description must cover both return shape and behavior. It lists the returned fields, explains null handling, documents the input constraint, and states cost/cache/refund rules, leaving no critical gap for an agent calling the 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 already 100%, so the baseline would be 3. The description adds a key cross-parameter rule not enforced by the schema: exactly one of place_id or url must be supplied, and it explains that place_id may come from a search or Places API.

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 states a specific verb (Fetch), resource (one Google Maps listing), and scope (in full), then enumerates the returned fields so an agent knows exactly what comes back. It implicitly distinguishes this from sibling tools like get_place_photos, get_place_reviews, and search_places by promising the complete single-place record.

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 description clarifies accepted identifiers (place_id or Google Maps URL) and says to provide exactly one, which tells the agent how to call the tool. However, it does not explicitly state when to choose get_place over get_place_reviews, get_place_photos, or search_places, leaving alternative selection to inference.

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