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serp_google_maps

Search for places on Google Maps and return structured results with location details, supporting language, country, and pagination.

Instructions

Search Google Maps for locations.

Performs a Google Maps search and returns structured map results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number for pagination (default: 1).
queryYesThe search query string for maps/location search. Required.
numberNoNumber of results per page (default: 10). Note: More than 10 results may incur additional credits.
countryNoCountry code for localized results (e.g., 'us', 'cn', 'uk'). Default is 'us'.
languageNoLanguage code for results (e.g., 'en', 'zh-cn', 'fr'). Default is 'en'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the burden of disclosing behavior. It only mentions 'returns structured map results' but fails to mention pagination, rate limits, cost implications, or any side effects. The schema notes that more than 10 results may incur additional credits, but this is not reflected in the description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise at two sentences, front-loaded with the main action. The second sentence adds clarity about output format but is somewhat redundant with the first. Overall, it is well-structured and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (5 parameters, output schema), the description is adequate for basic understanding but lacks usage context and differentiation from siblings. It also omits behavioral details like pagination and credit usage that would help an agent select and invoke the tool correctly without relying solely on the schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with detailed parameter descriptions, so the description adds no value beyond the schema. The description does not explain how parameters like country or language affect results, but the schema already handles this.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with a specific verb and resource: 'Search Google Maps for locations.' This distinguishes it from sibling tools like google_search and google_images, which target other result types.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied through the description ('Search Google Maps for locations'), but there is no explicit guidance on when to use this tool versus alternatives such as google_places or google_search. No use cases or exclusions are provided.

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

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