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Foundry: prepaid AI compute in USDF

List models

list_models
Read-only

Models the gateway serves with their prices (USD per 1M tokens, the same figure in USDF), context window, output limits and whether a route is available right now. No key needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered; the description still adds two useful facts beyond them: no API key is required, and the tool reports whether a route is available 'right now', implying live rather than cached state. It stops short of describing pagination or rate limits.

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?

A single dense sentence that front-loads the resource and then lists the fields returned; every clause carries information. The parenthetical price explanation is slightly heavy but earns its place.

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 carries the burden of explaining return values, and it does so completely: pricing units, context window, output limits, and route availability. Nothing an agent needs to invoke or interpret the call is missing.

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; the description instead spends its words on return-field semantics (USD per 1M tokens vs USDF), which is appropriate for a parameterless call.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific resource ('models the gateway serves') and enumerates the returned fields (prices in USD/USDF, context window, output limits, route availability), so the agent knows exactly what it gets. It does not, however, distinguish itself from the sibling list_tools, which an agent could easily confuse with this one.

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

Usage Guidelines2/5

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

No when-to-use or when-not-to-use guidance is offered, and no alternative such as list_tools or quote is named. The only usage-adjacent fact is 'No key needed', which clarifies auth requirements but not selection.

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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