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Status Observer MCP

status

Check the operational health of major digital platforms via official vendor APIs. List supported services or get a one-line summary for AI, cloud, and developer tools.

Instructions

Check the operational status of major digital platforms, read from each vendor's official status API. Covers AI providers (Anthropic, OpenAI, Gemini), clouds (GCP, Cloudflare, DigitalOcean, Vercel, Netlify, Supabase) and developer or workplace tools (GitHub, Docker, npm, Slack, Atlassian, Discord, Dropbox, Twilio, Asana, Reddit, LinkedIn, Amplitude).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
commandYes'list' to see every supported platform, 'all' for a one-line summary of each, or a platform id such as 'github', 'anthropic' or 'gcp'. A leading '--' is accepted too (e.g. '--github').

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv0.8.0
    • changedInput schema / properties / command / description
      Previous value: -"Command to execute (list, --all, or platform with -- prefix like --github)"New value: +"'list' to see every supported platform, 'all' for a one-line summary of each, or a platform id such as 'github', 'anthropic' or 'gcp'. A leading '--' is accepted too (e.g. '--github')."
  2. First observedv1.0.0

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses a meaningful behavioral trait — data is read from each vendor's official status API, implying live external reads rather than cached/local data — but says nothing about rate limits, authentication, latency, caching, or failure behavior when a vendor API is unreachable.

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?

Two sentences, front-loaded with the purpose before the coverage list. The long provider enumeration is justified because no enums exist in the schema, though it is dense enough to slightly dilute the core statement.

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 single-parameter read tool with no output schema, the description is nearly sufficient: purpose, data source, and valid platform values are all covered. The one gap is that it never hints at the shape of the returned status information (e.g., per-platform status codes), leaving the agent to discover it empirically.

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?

Schema coverage is 100% and already documents 'list', 'all', and platform ids, so the baseline is 3. The description adds value beyond the schema by enumerating the concrete platform identifiers (github, anthropic, gcp, etc.), which compensates for the absence of any enum constraint on the command parameter.

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 ('Check') and resource ('operational status of major digital platforms') and clarifies the data source ('each vendor's official status API'). The enumeration of covered providers makes the scope unambiguous even though no sibling tools exist to differentiate from.

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?

Implies its use case (checking platform status) but offers no explicit when-to-use/when-not guidance or prerequisites. With no sibling tools, there is little to route against, so the omission is less costly, but the description still never says under what circumstances an agent should reach for this tool.

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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