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

Annotations only provide destructiveHint=true; the description adds real behavioral context by disclosing the operational effect (inference halts, GPU billing stops) and framing it as a pause rather than a deletion. It stops short of saying whether the deployment config/state is retained or whether it can be restarted, which matters for a destructive-hinted tool.

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?

Three tight sentences with the primary purpose front-loaded and no filler. The REST endpoint sentence is marginally redundant for invocation purposes but useful for cross-referencing with API docs.

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?

For a one-parameter tool with no output schema, the description covers purpose, side effects, and cost implications adequately. Gaps are minor: no statement about reversibility or the resulting deployment state after stopping.

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 100% for the single deploy_id parameter, so the description adds no parameter-level meaning beyond what the schema already documents. Baseline 3 applies.

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?

States a specific verb (stop/pause) and resource (a running dedicated deployment), and the parenthetical 'pause' clarifies the semantic nuance versus a permanent delete. It does not explicitly name deepinfra_start_deployment as its counterpart, so sibling differentiation is implied rather than stated.

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?

Usage is implied by the stated consequences ('halts inference and stops accruing GPU charges'), which tells the agent why one would call it, but there is no explicit when/when-not guidance or routing to start_deployment for the reverse operation.

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