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Get Traffic Cameras

get_cameras

Retrieve Swedish traffic camera details with photo URLs, location, and GPS coordinates to view current road conditions, filterable by county or name pattern.

Instructions

Get information about traffic cameras in Sweden with photo URLs. Returns camera details including photo URLs, location, direction, county, and GPS coordinates. Use the photo URLs to fetch current camera images. Can be filtered by camera name pattern or by Swedish county number.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of cameras to return (default: 10)
countyNoOptional Swedish county number (1-25) to filter cameras by region
namePatternNoOptional pattern to filter camera names (SQL LIKE syntax)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden, and it does disclose what a result contains (photo URLs, location, direction, county, GPS), which is valuable given there is no output schema. It says nothing about pagination, default limiting behavior, permissions, or rate limits, so the disclosure is only partial.

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 with the purpose front-loaded and the return fields following immediately. Slight redundancy between 'Get information about traffic cameras' and the enumerated return details, but nothing wasteful enough to penalize heavily.

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 read-only list tool with no output schema and no annotations, the description covers purpose, filter dimensions, and the shape of the response, which is enough for an agent to call it correctly. It would be fully complete with a note on default limit behavior or routing against get_cameras_near_location.

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 all three parameters are already documented in the schema, making 3 the baseline. The description restates the name-pattern and county filters without adding syntax, format, or constraint detail beyond what the schema provides.

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 states a specific verb and resource (get information about traffic cameras in Sweden) and enumerates the returned fields (photo URLs, location, direction, county, GPS). It does not explicitly differentiate itself from the sibling get_cameras_near_location, which is the closest alternative, so it stops short of a 5.

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?

Usage is implied rather than stated: 'Use the photo URLs to fetch current camera images' nudges the agent toward get_camera_image, and the filtering sentence hints at broad retrieval. There is no explicit statement of when to choose this over get_cameras_near_location or the other camera/weather siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.