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traffic

Retrieve live traffic conditions including congestion and speed for major US metro areas. Provides real-time data to assess road conditions and travel delays.

Instructions

Retrieve live traffic conditions, congestion, and speed for a location. Coverage: live data for ~30 major US metros; returns degraded or empty values outside these areas. For rural coordinates, qualify the response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Implementation Reference

  • bin/server.js:50-55 (registration)
    The 'traffic' tool is registered in the TOOLS array as a static catalog entry. It lists the tool name, description, and an empty inputSchema. This is a local reference adapter that only returns the tool definition via tools/list; actual execution is delegated to the hosted server at https://geo.thinair.co/mcp.
    {
      name: "traffic",
      description:
        "Retrieve live traffic conditions, congestion, and speed for a location. Coverage: live data for ~30 major US metros; returns degraded or empty values outside these areas. For rural coordinates, qualify the response.",
      inputSchema: { type: "object" },
    },
Behavior3/5

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

With no annotations, the description adds some behavioral context (coverage, degraded/empty values) but omits details like authorization, rate limits, or response format. It is adequate but not comprehensive.

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 two sentences, front-loading the purpose and immediately following with key usage context. Every word serves a purpose without redundancy.

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?

Despite the simplicity of the tool (no parameters, no output schema), the description fails to explain how to specify a location, which is critical for a tool that requires location input. The missing input mechanism is a major gap.

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?

The description implies a 'location' parameter, but the input schema is an empty object with no properties. This directly contradicts the schema and provides misleading information, adding no meaningful semantics.

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?

The description clearly states the tool retrieves 'live traffic conditions, congestion, and speed for a location,' which is specific and distinct from sibling tools like 'directions' or 'weather.' No ambiguity.

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?

The description specifies coverage areas (30 major US metros) and warns about degraded values outside, guiding when to use the tool. It does not explicitly name alternative tools but provides clear context on limitations.

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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