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list_providers

Read-onlyIdempotent

Use to discover provider IDs and catalogue coverage before filtering model searches. Returns distinct API model counts, offer counts and current supported input/output rate ranges in USD per million tokens. The two rate minima may belong to different offers. For a workload estimate use find_cheapest_models or calculate_cost; ranges are not capability rankings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
provider_idNoOptional exact provider_id returned by list_providers or offer identity. Use to restrict results to one provider; omit for all providers.
pricing_tierNoOptional exact tariff name from offer identity, such as standard or peak. Use to restrict results to a tariff; omit to include all tariffs.standard

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / pricing_tier / description
      Added value: +"Optional exact tariff name from offer identity, such as standard or peak. Use to restrict results to a tariff; omit to include all tariffs."
    • addedInput schema / properties / provider_id / description
      Added value: +"Optional exact provider_id returned by list_providers or offer identity. Use to restrict results to one provider; omit for all providers."
  2. Added

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/non-destructive/closed-world, so safety is covered without help. The description adds genuine non-obvious data semantics: that the two rate minima may come from different offers, and that ranges are not capability rankings. It stops short of noting pagination or result-size limits, which keeps it from a 5.

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?

Three tight sentences, front-loaded with the primary purpose, then the return shape, then the caveats and alternative routing. No filler or repetition; every sentence carries information an agent would otherwise have to guess.

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?

An output schema exists, so return-value documentation is not required, yet the description still characterizes the payload. Combined with the sibling routing and the rate-range caveat, an agent has everything needed to decide whether to call this tool and how to interpret the result.

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 both parameters carry their own descriptions, including the "omit for all providers" default behavior, so the schema does the heavy lifting. The description adds no parameter-level detail beyond that, matching the baseline 3 for fully documented schemas.

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 concrete purpose ("discover provider IDs and catalogue coverage") and specifies the returned payload (distinct API model counts, offer counts, USD rate ranges), so an agent knows exactly what it gets. It also names the siblings it is not, e.g. find_cheapest_models and calculate_cost, making it separable from the other pricing tools.

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 an explicit trigger ("before filtering model searches") and explicit redirects for a different intent ("For a workload estimate use find_cheapest_models or calculate_cost"). It also warns what the tool is NOT for ("ranges are not capability rankings").

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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