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Together AI MCP by usefulapi

Stop a dedicated endpoint

together_stop_endpoint
Destructive

Stop a running dedicated endpoint, which stops its per-minute billing. Requests to it fail until it is started again. Together: PATCH /endpoints/{endpointId} with state=STOPPED.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpoint_idYesThe endpoint id.

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

A4.2/5.0
Behavior4/5

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

Annotations only supply destructiveHint=true; the description adds real behavioral context — billing stops, in-flight/future requests fail, and the state is recoverable via restart. It also discloses the underlying REST semantics (PATCH with state=STOPPED), which helps the agent predict idempotent behavior. It doesn't cover data retention or propagation timing.

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 short sentences, front-loaded with what the tool does, then consequences, then API mapping. No filler, and each sentence adds a distinct fact.

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, no-output-schema mutation tool this is nearly complete: the agent knows the effect, the reversibility, and the failure mode of dependent calls. Minor gaps remain around whether stopping is immediate/synchronous and what the response looks like, but these are low-risk for a hint about a rich API.

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% for the single endpoint_id parameter, so the schema already carries the semantics. The description only echoes the id via the REST path notation, adding no new parameter meaning. Baseline 3 applies.

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 and resource: 'Stop a running dedicated endpoint.' Combined with the title and the sibling set, an agent can immediately distinguish this from together_start_endpoint, together_create_endpoint, or together_get_endpoint.

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

Usage Guidelines4/5

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

Gives a clear condition for use (to stop per-minute billing) and states the operational consequence that requests fail until restarted, which implicitly points to together_start_endpoint as the reverse action. It stops short of explicitly naming the restart tool as the alternative.

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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