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MCP Google Map Server

MCP Google Map Server

by cablate
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

maps_distance_matrix

Calculate travel distances and times between multiple origins and destinations using driving, walking, bicycling, or transit modes for efficient route planning.

Instructions

計算多個起點和終點之間的距離和時間

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "origins": "<origins>",
      "destinations": "<destinations>"
    },
    "name": "maps_distance_matrix"
  }
}

Input Schema

NameRequiredDescriptionDefault
destinationsYes終點地址或座標列表
modeNo交通模式driving
originsYes起點地址或座標列表

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries full burden but only states what the tool does without behavioral details. It doesn't disclose rate limits, authentication requirements, cost implications, error conditions, or output format. For a tool that likely calls an external API with potential usage constraints, this is inadequate.

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?

The description is extremely concise - a single sentence that directly states the tool's purpose. There's no wasted language or unnecessary elaboration, making it easy to parse and understand at a glance.

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?

For a tool with no annotations and no output schema, the description is insufficient. It doesn't explain what the output looks like (matrix format? units?), doesn't mention API limitations or costs, and doesn't provide context about when this tool is preferable to sibling tools. The 100% schema coverage helps, but the description should do more heavy lifting.

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 schema already documents all parameters thoroughly. The description doesn't add any meaningful parameter semantics beyond what's in the schema - it just restates the core functionality without explaining parameter interactions or constraints.

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?

The description clearly states the tool's purpose as calculating distances and times between multiple origins and destinations, which is specific (verb+resource). However, it doesn't distinguish this from sibling tools like maps_directions, which might provide similar routing functionality but with different output formats or use cases.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives like maps_directions or search_nearby. It doesn't mention prerequisites, typical use cases, or limitations, leaving the agent to infer usage from the tool name and parameters alone.

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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