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by hniska

Fetch Camera Image

get_camera_image

Retrieve the current image from a traffic camera as base64 data using its photo URL from get_cameras. Use it to view live road conditions.

Instructions

Fetch the actual image from a traffic camera. Takes a photo URL (obtained from get_cameras tool) and returns the image as base64-encoded data. Use this to retrieve the current traffic camera photo for viewing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
photoUrlYesThe photo URL from a camera (obtained from get_cameras tool)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the return format (base64-encoded data), which is useful behavioral context. However, it doesn't state whether this is a read-only operation (implied), whether it requires auth, or any rate limits. The base64 disclosure is a meaningful addition that a schema alone wouldn't provide.

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 concise sentences, front-loaded with the core action. Slight redundancy: the photoUrl origin is stated twice (once in description body and once in schema), but the description itself is efficient with no wasted clauses.

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

Completeness3/5

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

For a simple 1-param retrieval tool with no output schema, the description covers the essential call semantics (input origin, output format). However, with no annotations, it misses the safety profile (read-only nature) and error-handling context (e.g., what if URL is invalid or camera offline). Adequate but with a gap for a no-annotation tool.

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 the schema already documents the photoUrl parameter with the origin note. The description repeats this origin constraint ('Takes a photo URL (obtained from get_cameras tool)') but adds no syntax or format details beyond what the schema provides. Baseline 3 applies when schema does the heavy lifting.

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 ('Fetch the actual image from a traffic camera'), clearly distinct from sibling tools like get_cameras which lists cameras rather than retrieving imagery.

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 states the dependency: the photo URL must be obtained from the get_cameras tool first. Names the workflow context ('Use this to retrieve the current traffic camera photo for viewing'), routing the agent correctly.

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