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List tracked API providers

list_providers
Read-onlyIdempotent

List ~40 AI and developer API providers that Upstream tracks with current status (operational, degraded, outage) and last check time. Find provider IDs for status checks or view all-provider health.

Instructions

List the ~40 AI and developer API providers Upstream tracks with their current state (operational/degraded/outage) and checked_at. Use to find the right provider id for check_api_status, or for a quick all-providers health overview. Free.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so safety is covered. The description adds behavior the annotations do not: the approximate result size (~40 providers), the possible state values (operational/degraded/outage), the checked_at field, and that the call is free (no auth/cost concern).

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?

Two tight sentences, front-loaded with what is returned, followed by routing guidance. No filler or restatement of the title.

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 and no parameters, the description carries the return-shape burden and does so: it names the fields (state values, checked_at) and result scale. Combined with the sibling routing hint, an agent has everything needed to call it correctly.

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, so the baseline is 4. There is nothing for the description to disambiguate, and it correctly implies no filtering inputs are accepted.

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?

Specific verb ('List') plus resource ('~40 AI and developer API providers Upstream tracks') and the returned fields (state, checked_at). It explicitly names the sibling check_api_status, so an agent can distinguish this discovery tool from the status-checking tool without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives two concrete use cases: finding a provider id for check_api_status and getting an all-providers health overview. It names the alternative tool and the chaining condition, but does not state any when-not conditions (e.g., when to prefer list_recent_api_changes or get_digest instead).

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