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Together AI MCP by usefulapi

Get one endpoint

together_get_endpoint
Read-only

Fetch one dedicated endpoint: state, model, hardware, autoscaling bounds and display name. Together: GET /endpoints/{endpointId}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpoint_idYesThe endpoint id, e.g. endpoint-d23901de-....

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

A3.8/5.0
Behavior3/5

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

readOnlyHint=true already tells the agent this is a safe read, so the bar is lower. The description adds the concrete set of fields returned and the underlying REST call, but says nothing about auth requirements, error behavior for an unknown id, or whether the response is cached/eventually consistent.

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 compact sentences with the resource and returned fields front-loaded, then the REST mapping. No filler or redundancy.

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?

There is no output schema, so the description carries the burden of telling the agent what comes back — and it does list the response fields. With one fully documented parameter and readOnlyHint covering safety, this is nearly complete, though response shape/nesting is only summarized.

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% for the single endpoint_id parameter, which the schema already documents with an example value. The description only restates the id via the path template GET /endpoints/{endpointId}, adding no new constraint. 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 (fetch) and resource (one dedicated endpoint), and enumerates the returned fields (state, model, hardware, autoscaling bounds, display name). This cleanly separates it from together_list_endpoints.

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?

Usage is implied by the singular resource and the required endpoint_id, but the description never states when to prefer this over together_list_endpoints or the start/stop siblings, nor any prerequisite such as needing an existing endpoint id.

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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