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Statuspage List Vendors

statuspage_list_vendors
Read-onlyIdempotent

Which companies this service-status pack can answer for: 190 verified Atlassian Statuspage hosts across AI and model providers, cloud and hosting, databases and observability, developer tools, payments and fintech, communications, and business SaaS. Returns the total count plus each vendor's lookup key, display name, category and status hostname, so a vendor name can be confirmed before calling statuspage_check instead of guessed. Also lists well-known companies whose status pages use a different format, together with the URL a human should open. Filter by category or search text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoSubstring filter over vendor key, display name and aliases, e.g. "cloud" or "git".
categoryNoRestrict to one category: ai, cloud, data, devtools, payments, comms, saas.
include_elsewhereNoAlso list known vendors that publish status in another format, with the URL to open (default false).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so safety is covered. The description adds useful behavioral context: it returns a total count, per-vendor details, and additionally lists vendors with a different status format when requested. No contradiction.

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?

The description is four sentences, each contributing unique information: scope, return value/use case, elsewere list, and filtering. It is a bit wordy but not redundant, earning a 4.

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

Completeness5/5

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

For a listing tool with no output schema, the description is comprehensive: it covers what is returned, the purpose, the elsewere behavior, and filtering options. With good annotations and parameter descriptions, nothing essential is missing.

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 each parameter already has a description. The description only summarises 'Filter by category or search text', which adds minimal extra meaning over the schema. Baseline 3 is appropriate.

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?

The description clearly states the tool returns a list of supported vendors with their lookup key, display name, category, and status hostname. It explicitly distinguishes itself from the sibling statuspage_check by noting it confirms vendor names before calling that tool, avoiding guessing.

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?

It explicitly says to use this tool to confirm a vendor name before calling statuspage_check, and mentions filtering by category or search text. This gives clear when-to-use guidance and references an alternative 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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