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together-ai

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. First observed

TDQS

A3.6/5.0
Behavior3/5

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

The readOnlyHint annotation already tells the agent this is a safe, non-mutating read. The description adds the useful detail of what data comes back, but says nothing about auth requirements, error behavior for a missing/invalid id, or pagination (not applicable here).

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 tight sentences: the payload of returned fields is front-loaded, and the HTTP mapping (GET /endpoints/{endpointId}) is appended with no filler. Every clause 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 one-parameter read with no output schema, the description compensates by enumerating the returned fields, so the agent knows what to expect. Auth and error semantics remain unstated, a minor gap for a tool this simple.

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 well-documented endpoint_id parameter (including an example format). The description adds no parameter semantics beyond the schema, so the baseline 3 applies.

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 (Fetch) and resource (one dedicated endpoint) and enumerates the fields retrieved (state, model, hardware, autoscaling bounds, display name). It implicitly contrasts with together_list_endpoints by saying 'one', but does not name a sibling explicitly.

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: fetch a single endpoint when you already have its id. There is no explicit when-to-use versus list_endpoints or when-not guidance, and no prerequisites stated, so the agent must infer the routing.

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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