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UK Data: Is it down? Service status

zoom_status

Read-onlyIdempotent

Verify the operational status of Zoom Meetings, Phone, and Video Webinars. Data is sourced from the official Zoom Statuspage API, providing real-time updates on service disruptions and maintenance. It includes status for specific components like audio, video, and screen sharing. (cost: 1 credit)

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already establish readOnly, idempotent, non-destructive, open-world behavior, so the bar is lower. The description still adds real value: the upstream data source (official Zoom Statuspage API), that updates are real-time, that it covers disruptions and scheduled maintenance, and the 1-credit cost. It stops short of describing the response shape (overall indicator vs per-component breakdown).

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?

Purpose is front-loaded in the first sentence, followed by source and coverage detail. Slightly padded – the third sentence about 'audio, video, and screen sharing' restates the component-coverage idea already conveyed, and the parenthetical credit note is tacked on – but nothing is genuinely misleading or wasteful.

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 zero-parameter read-only status check with no output schema, the description covers what the tool does, where the data comes from, and its granularity. A brief note on the shape of the returned status (overall vs per-component) would have made it fully self-sufficient, but the remaining gap is minor.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters and the schema is empty, so the baseline of 4 applies. There is no parameter behavior the description could usefully clarify, and it correctly implies a single unparameterized call returns all status data.

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 ('Verify') and a specific resource ('operational status of Zoom Meetings, Phone, and Video Webinars'), and names the components covered. Against the many sibling status tools (slack_status, github_status, atlassian_status), the provider is unambiguous from the name and description alone.

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 by the phrase 'Verify the operational status' – an agent knows this is a health-check tool. However, there is no explicit statement of when to prefer it over alternatives (e.g. general news search for outage reports) or any preconditions. Adequate but leaves routing to inference.

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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