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

No annotations are provided, so the description carries the full burden. It usefully discloses what the call returns (schema, sample input, outputs, method), which is meaningful behavioral context given the absence of an output schema, but it says nothing about read-only nature, error behavior for an unknown engine_id, or response size.

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?

A single compact sentence with the verb and returned artifacts front-loaded and no filler. It is efficient, though the comma-listed payload reads as slightly terse rather than structured.

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 annotations and no output schema, the description does helpfully cover the return contents, but it leaves the sole required parameter undocumented and omits any failure or scope behavior, so it is only partially complete for a metadata-fetch tool.

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?

Schema description coverage is 0%, so the description must compensate for the single engine_id parameter and does not. It never mentions engine_id, its format, or where to obtain a valid value (e.g., from list_engines).

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 names a specific verb ('Get') and resource ('one engine') and enumerates what is returned: input JSON schema, sample input, outputs, and method. This clearly separates it from run_engine (execution) and list_engines (enumeration), though it does not name those siblings explicitly.

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?

There is no statement of when to use this tool versus list_engines or run_engine. The appropriate context (inspecting an engine before invoking run_engine) must be inferred entirely by the agent.

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