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Fireworks AI MCP by usefulapi

List models

fireworks_list_models
Read-only

List models in the account (base + fine-tuned). Control-plane: GET /v1/accounts/{account_id}/models.

Input Schema

NameRequiredDescriptionDefault
filterNoServer-side filter expression.
orderByNoField to order by, e.g. 'createTime desc'.
pageSizeNoPage size (max 200).
pageTokenNoOpaque page token from a previous response's nextPageToken.
account_idNoFireworks account id. Overrides FIREWORKS_ACCOUNT_ID for this call.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, covering the safety profile. The description adds useful context that this is a control-plane operation and the exact GET endpoint, but does not disclose pagination behavior, auth requirements, or rate limits beyond the account_id override documented in the schema.

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 tightly written sentences with no wasted words. The purpose is front-loaded, followed by concise technical context; every sentence earns its place.

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

Completeness4/5

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

For a simple read-only list tool with fully described parameters and readOnlyHint annotations, the description supplies the scope (base + fine-tuned) and API endpoint. It does not explain pagination or return structure, but no output schema exists and pagination parameters are documented in the schema.

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%, so all five parameters are fully documented in the input schema. The description adds no parameter meaning beyond what the schema already provides, making the baseline score of 3 appropriate.

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?

States a specific verb and resource: 'List models in the account (base + fine-tuned).' The parenthetical scope implicitly separates it from list_deployed_models and get_model, but it does not explicitly name alternatives, keeping it at 4 rather than 5.

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?

Provides no guidance on when to use this tool versus siblings like fireworks_get_model or fireworks_list_deployed_models. The description only asserts the operation and endpoint, leaving selection conditions unstated.

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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