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Is this API / provider down right now?

check_api_status
Read-onlyIdempotent

Read whether one tracked AI or developer API provider is operational, degraded, or down. Use before calling that provider, or right after 5xx, 429, or timeouts. Do not use it for an MCP server (check_mcp_server_health) or a model id (check_model_deprecation); ids come from list_providers, not URLs. Does not invoke the provider's API. Returns summary, verdict, recommended_action, open incidents, affected components, checked_at, and freshness (about every 4 minutes). Uses Upstream's quota, then $0.003 via x402, not the Toolweather check quota. Also callable as get_status.

Input Schema

NameRequiredDescriptionDefault
providerYesLowercase id from list_providers, such as openai, anthropic, google-ai, github, or stripe. Not a URL and not an MCP registry name.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / provider / description
      Previous value: -"Provider id (lowercase). Examples: openai, anthropic, google-ai, mistral, groq, github, stripe, cloudflare. Full list: list_providers."New value: +"Lowercase id from list_providers, such as openai, anthropic, google-ai, github, or stripe. Not a URL and not an MCP registry name."
  2. Added

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already cover readOnly/idempotent/non-destructive, so the bar is lower, but the description still adds real context: it does not invoke the provider's API, it enumerates the returned fields, states data freshness (~4 min), and discloses the billing path (Upstream quota, then $0.003 via x402). That is meaningful beyond the annotations.

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?

Front-loads purpose, then usage, then exclusions, then return/pricing, so an agent can stop reading early. It is dense but avoids filler; the pricing and alias sentences are the only slightly extraneous weight.

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?

With no output schema, the description compensates by naming the return payload (summary, verdict, recommended_action, incidents, components, checked_at, freshness) and covering cost and the alias 'get_status'. An agent has everything needed to call and interpret it.

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% and the schema already explains the lowercase id format, that it comes from list_providers, and that it is not a URL; the description largely restates this. Baseline 3 is appropriate since the schema carries the parameter meaning.

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 ('Read whether one tracked AI or developer API provider is operational, degraded, or down') and immediately demarcates itself from check_mcp_server_health and check_model_deprecation. An agent can route correctly without opening a sibling schema.

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?

Gives explicit trigger conditions ('before calling that provider, or right after 5xx, 429, or timeouts'), explicit exclusions with the alternative tool named for each excluded case, and the correct id source (list_providers, not URLs). Nothing is left 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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