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Cyreslab-AI

windy-webcams-mcp-server

get_webcams_by_category

Read-only

Find live webcams by category. Specify category IDs to get matching feeds with optional sorting, limits, and extra data like images and location.

Instructions

Get webcams from specific categories

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of results to return (1-50, default: 20)
includeNoComma-separated list of extra data to include (default: "images,location"). One or more of: categories, images, location, player, urls.
sortKeyNoField to sort results by
categoriesYesCategory ID or comma-separated list of category IDs, max 10
sortDirectionNoSort direction (used with sortKey)
categoryOperationNoOperator used to combine multiple categories (default: "and")

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
cachedNo
successYes
summaryYes
api_infoNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior2/5

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

Beyond the readOnlyHint and openWorldHint annotations, the description discloses no behavioral traits such as pagination, defaults, or category-ID requirements. It simply restates the resource and filter, adding no value beyond what the annotations and schema already convey.

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 one short, front-loaded sentence that states the subject and filter without redundant words. It earns its place and is easy to parse quickly.

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?

With a fully described six-parameter schema, an output schema, and read-only annotations, the tool is callable without additional context. The main shortfall is the lack of use-case differentiation from sibling tools, but that is covered under usage guidelines and does not make the definition incomplete for invoking the 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 description coverage is 100%, so the schema already documents all six parameters including defaults and enums. The description adds no additional parameter meaning, placing it at the baseline for high schema coverage.

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 clear verb (get) and resource (webcams) with a category filter, which distinguishes it from location-based siblings like get_webcams_by_location and get_nearby_webcams. It does not explicitly name sibling alternatives or enumerate the category-based selection logic, but the core purpose is unambiguous.

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?

No guidance is given about when to choose this tool over search_webcams, get_webcams_by_location, or get_nearby_webcams. The category filter is implied by the name and description, but there are no explicit exclusions or alternative mentions.

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