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together-ai

Cancel a fine-tuning job

together_cancel_fine_tune
Destructive

Cancel a running fine-tuning job. Cannot be resumed, but a new job can continue from its last checkpoint via from_checkpoint. Together: POST /fine-tunes/{id}/cancel.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fine_tune_idYesThe job id, e.g. ft-abc123.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

destructiveHint=true already tells the agent this is a destructive operation, and the description adds the crucial non-obvious detail that the cancellation is irreversible and that work can be recovered via from_checkpoint on a new job. It omits what state the job is left in and whether in-flight training steps are lost, so it stops short of 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 with zero filler: the action is front-loaded, followed by the consequence and the recovery path, then the endpoint. Nothing needs trimming and nothing is buried.

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 one-parameter destructive tool with annotations and no output schema, the definition covers the essentials: what it does, that it is irreversible, and how to recover. It could go slightly further by describing the response (e.g., the resulting job status) or any rate/permission constraints.

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% with a single documented parameter (fine_tune_id with an example format), so the schema carries the full burden. The description adds no additional meaning about the identifier beyond what the schema already states, making the baseline 3 appropriate.

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+resource with scope: 'Cancel a running fine-tuning job.' An agent can immediately distinguish this from siblings like together_stop_endpoint or together_cancel_batch, and it even exposes the underlying REST endpoint.

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

Usage Guidelines3/5

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

The description implies when the tool applies ('running' job) and discloses the irreversibility plus a recovery path via from_checkpoint, which is useful decision context. However, it never states when to prefer this over alternatives, nor any preconditions such as required permissions or whether the job must be idle.

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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