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Search Places

search_places
Read-only

Local business and places search API for AI agents: Google Maps results as JSON with addresses, ratings, review counts, coordinates and place IDs when available. Supports searches by query and location or place details by place_id. Price: 5 prepaid credits per successful call. MCP returns a compact view of these results.

Input Schema

NameRequiredDescriptionDefault
queryYesPlace or business search query.
resultsNoMaximum number of places to return.
languageNoTwo-letter language code for place results.
locationNoPlace to centre the search on, for example "Rome, Italy". Without it, a place named in the query ("pizza in Rome") is used.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful context beyond annotations: pricing at 5 prepaid credits per successful call, the result fields available, the 'when available' caveat, and that MCP returns a compact view.

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 a single, front-loaded paragraph that quickly states purpose, result content, supported input modes, and pricing. The place_id sentence is the main weak point because it is not merely extraneous but inaccurate relative to the schema.

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

Completeness4/5

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

For a 4-parameter search tool with full schema coverage and rich annotations, the description covers cost, result fields, and the compact MCP output. Because there is no output schema, its explanation of returned fields is helpful, though the unsupported place_id mode leaves an accuracy gap.

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 description coverage is 100%, so the actual parameters are fully documented without help from the description. The description adds no additional parameter syntax or meaning, and its reference to a place_id mode introduces a misleading concept not present in the schema.

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

Purpose4/5

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

States a clear verb and resource: local business and places search with Google Maps JSON results, and lists the key returned fields. It distinguishes the tool from generic search siblings, but the claim that it supports 'place details by place_id' is not backed by any place_id parameter in the schema, which can confuse an agent about available modes.

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?

The description implies the tool is for local business/place lookups and the schema clarifies the location fallback behavior. However, it gives no explicit guidance on when to choose this over sibling tools such as search_web, nor any when-not-to-use conditions.

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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