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search_places

Search for specific categories of points of interest like gas stations, restaurants, or charging stations near a given location. Use this tool when you need a particular type of place.

Instructions

CATEGORY-specific POI search near a point — gas stations, truck stops, restaurants, charging stations, etc. Use this when the user has a specific TYPE of place in mind. For broader DISCOVERY (e.g. 'cities within 50 miles'), use explore instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • bin/server.js:68-73 (registration)
    Tool registration for 'search_places' in the TOOLS array. This is a static catalog adapter — the tool name is registered here with description and inputSchema, but actual execution is not implemented locally. The CallToolRequestSchema handler (line 114) returns a redirect message pointing users to the hosted MCP server at https://geo.thinair.co/mcp.
    {
      name: "search_places",
      description:
        "CATEGORY-specific POI search near a point — gas stations, truck stops, restaurants, charging stations, etc. Use this when the user has a specific TYPE of place in mind. For broader DISCOVERY (e.g. 'cities within 50 miles'), use `explore` instead.",
      inputSchema: { type: "object" },
    },
Behavior2/5

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

No annotations provided, so description carries full burden. It only states the high-level behavior but fails to explain how inputs (category, point) are provided since schema has no parameters.

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

Conciseness5/5

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

Two clear sentences: first states purpose, second gives usage guidance. Every word adds value.

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

Completeness2/5

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

Given empty schema, no annotations, and no output schema, the description lacks crucial details about how to invoke the tool (what parameters are needed, if any). The agent cannot know how to pass the 'near a point' or 'category' requirements.

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

Parameters1/5

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

Input schema is empty (0 parameters) and description does not clarify how the agent should specify the category or location. This leaves the agent with no guidance on invocation.

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?

Description states exactly what the tool does (category-specific POI search near a point) with concrete examples (gas stations, truck stops, etc.) and distinguishes it from the sibling 'explore' tool.

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 tells when to use this tool (when user has a specific TYPE of place) and when not to (for broader DISCOVERY, use explore instead).

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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