lms_runtime_control

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

No annotations are provided, so the description carries full burden. It only says 'Manage and update' which hints at mutation but does not disclose side effects, permissions, reversibility, or output behavior. The agent cannot anticipate what happens with actions like 'update' or 'survey'.

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?

The description is a single sentence but is under-specified. The 'CLI:' prefix adds no value, and the sentence is too terse to convey the tool's functionality. It is not effective conciseness; it is minimalistic to the point of being unhelpful.

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?

The tool has five distinct actions, no output schema, and no annotations, yet the description provides almost no context. The agent is left without information about what each action does, when to use them, what the target should be, or what results to expect. This is critically incomplete, especially given many similar sibling tools.

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?

The description adds no meaning to the parameters. The schema describes only the 'target' field, leaving 'action' with an enum of five commands but no explanation. With 50% schema coverage, the description should clarify the actions and target format, but it remains silent.

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 identifies a resource ('inference runtime engines') and implies control actions with 'Manage and update', but it is vague and does not distinguish this tool from sibling tools like lms_server_control or lms_ls. It is not a tautology, but it lacks specificity about the exact scope.

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 guidance on when to use this tool versus alternatives. Sibling tools such as lms_server_control, lms_status, lms_ls, and lms_get likely overlap, but the description does not mention any exclusions or preferred contexts.

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