Get AI endpoint

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

The [READ] marker and GET path restate readOnlyHint=true rather than adding behavioral context. Nothing is said about permissions, error behavior (e.g. what happens with an unknown or unauthorized endpoint_id), or the response shape, so the description adds no value beyond the existing annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

It is a single short line with no waste and the read tag is front-loaded, but the brevity reflects under-specification rather than disciplined concision.

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

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

With no output schema, no parameter documentation, and annotations covering only read-only/open-world safety, the description leaves an agent without what an AI endpoint is or what the call returns. For a single-resource getter it is barely adequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There is exactly one parameter, endpoint_id, with 0% schema description coverage, so the description carries the burden. The path template hints that endpoint_id identifies the resource, but no format, origin, or lookup semantics are given.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description essentially restates the name and title: "OpenAPI: GET /endpoints/{endpoint_id}" with a [READ] tag. It confirms a single-resource read, but "endpoints" is generic and it never explains what an AI endpoint is or how it differs from list_ai_endpoints or get_ai_model beyond the HTTP verb and path.

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

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

No guidance on when to call this versus list_ai_endpoints or other get_* siblings is given. An agent must infer that a single endpoint_id lookup is the distinguishing condition, which is never stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.