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Fireworks AI MCP by usefulapi

Create dataset

fireworks_create_dataset
Destructive

Creates a dataset metadata record in Fireworks (additive; actual data is uploaded separately). Control-plane: POST /v1/accounts/{account_id}/datasets.

Input Schema

NameRequiredDescriptionDefault
filterNoFilter applied when deriving from a source dataset.
formatNoDataset format: CHAT | COMPLETION | RL.
datasetIdYesId for the new dataset (the resource segment).
account_idNoFireworks account id. Overrides FIREWORKS_ACCOUNT_ID for this call.
displayNameNoHuman-readable display name.
externalUrlNoExternal source URL for the dataset data.
exampleCountNoNumber of examples in the dataset.
sourceDatasetIdNoId of a source dataset to derive from.

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 provide only a destructiveHint=true, so the description must carry most of the behavioral burden. It usefully discloses the metadata-only/additive nature and the control-plane endpoint (POST /v1/accounts/{account_id}/datasets), but it does not explain why the operation is flagged destructive (e.g., overwriting an existing datasetId) or address idempotency. Some added value, with real gaps.

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?

Two compact sentences with the core action front-loaded and the scoping caveat attached inline. The raw endpoint path is slightly redundant implementation detail, but overall there is little waste.

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

Completeness3/5

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

For a create tool with no output schema and a low-coverage annotation set, the description covers purpose and the metadata/data split but omits what happens on a duplicate datasetId, permission or auth requirements, and any indication of the returned resource. Adequate but not complete.

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% (all 8 parameters, including the format enum and account_id override, are documented in the schema), so the schema already does the heavy lifting. The description adds no parameter-level detail, which is the expected baseline at full coverage.

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 (Creates) and resource (a dataset metadata record in Fireworks) and immediately scopes the operation as metadata-only with the actual data uploaded separately. An agent can distinguish this from fireworks_get_dataset and fireworks_list_datasets without opening any schema.

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?

The description explains what the tool does but never says when to choose it over alternatives. There is no guidance on prerequisites, no mention that a separate data-upload step must follow, and no routing to any sibling tool. Only implied usage is present.

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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