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search_places

Search Google Maps for businesses, locations, and points of interest using a text query. Get details like address, phone, rating, opening hours, and location data.

Instructions

Search Google Maps for places based on a text query.

This tool searches for businesses, locations, and points of interest using Google Maps Places API. It returns detailed information including contact details, ratings, opening hours, and location data.

Args: query: Search query like "coffee in San Francisco" or "pizza restaurants in New York City". Can include location and business type. max_results: Number of results to return (1-20). Default is 10.

Returns: Dictionary containing query, total_results, and places list with detailed information including name, address, phone, website, rating, location, hours, and more.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
max_resultsNo
Behavior4/5

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

Describes the return data comprehensively (contact, ratings, hours) but lacks disclosure of rate limits or usage costs. No annotations exist, so description carries the burden.

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?

Well-structured with Args and Returns sections, but slightly verbose with repetitive opening sentences.

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

Completeness5/5

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

Given only 2 parameters and no output schema, the description fully explains inputs and outputs, making it complete for agent use.

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

Parameters5/5

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

With 0% schema coverage, the description adds significant meaning: explains query format with examples and clarifies max_results range and default.

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?

Clearly states the verb 'search' and resource 'Google Maps places' with a text query. Distinguishes from sibling tools like search_nearby (location-based) by emphasizing textual queries.

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

Usage Guidelines4/5

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

Provides clear context for when to use (text-based searches) but does not explicitly mention when not to use or alternatives among siblings.

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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