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Crawlora MCP

google_map_search

Read-only

Search Google Maps for places matching keyword, returning place identifiers, names, categories, addresses, and available rating data. Supply a query such as hotel san francisco; country (ISO-2, default us) and UI language (default en) are optional. Requests are rate-limited to one per second. Use google_map_place to inspect one returned place or datasets_google_map_search for indexed business records.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "google_map_search"
  }
}

Input Schema

NameRequiredDescriptionDefault
countryNoOptional. Country code as an ISO-2 value, e.g. us. Defaults to us.
keywordNoRequired. Google Maps search query, e.g. hotel san francisco.
languageNoOptional. Google UI language code, e.g. en. Defaults to en.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / country / description
      Previous value: -"Required. Country code as an ISO-2 value, e.g. us."New value: +"Optional. Country code as an ISO-2 value, e.g. us. Defaults to us."
    • changedInput schema / properties / language / description
      Previous value: -"Required. Google UI language code, e.g. en."New value: +"Optional. Google UI language code, e.g. en. Defaults to en."
  2. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds a genuinely useful operational constraint the annotations do not carry — a one-request-per-second rate limit — plus the shape of the returned payload. It stops short of mentioning result counts, pagination, or what happens on quota exceedance.

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?

Three tight sentences: purpose first, parameter expectations second, rate limit and alternatives last. Nothing is padded, though the defaults mentioned in sentence two duplicate the schema and could be dropped without loss.

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?

An output schema exists, so the description needn't explain return values — and it wisely gives only a field summary. Between the rate-limit warning, the sibling routing, and the query example, an agent has enough to invoke this correctly; missing only result-volume/pagination expectations for a search endpoint.

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% and all three parameters are individually documented with defaults and examples, so the schema does the heavy lifting. The description restates the same defaults (us, en) and repeats the example query rather than adding new meaning such as how keyword parsing interacts with country, or whether language affects result content.

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?

States a specific verb and resource ("Search Google Maps for places") and enumerates what comes back: place identifiers, names, categories, addresses, ratings. It also names two sibling tools and the distinct role each plays, so an agent can differentiate without opening any schema.

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

Usage Guidelines5/5

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

Explicitly routes: use google_map_place to inspect a single returned place, datasets_google_map_search for indexed business records. This gives both a when-to-use-this and when-to-use-something-else condition, plus a concrete query shape ("hotel san francisco").

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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