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

Goes well beyond the annotations: discloses exactly which env vars are injected, that a second call returns already_provisioned=true without creating anything, that deployed commits are rolled so the new vars reach running pods, that values are masked, and that a read-write token is required. The pod-rollout side effect is a significant consequence an agent would otherwise miss.

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?

Front-loads the verb and resource, then layers idempotency, return shape, side effects, and auth in a logical order. It is dense but nearly every clause carries new information; only the dashboard-button analogy is arguably decorative.

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?

An output schema exists, yet the description still summarizes the return (already_provisioned flag, masked env var names) and covers preconditions, side effects, and idempotency. Nothing an agent needs to decide-and-call is missing.

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 coverage is 100% and the schema itself documents both mode and project_id in detail, including mode's behavior on re-provisioning. The description adds no parameter-level semantics beyond that, so 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 (provision) plus the exact resource (managed S3-compatible bucket + scoped access key) and names the concrete artifacts created. An agent can separate this from provision_postgres and upload_object purely from the description.

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?

Gives a clear trigger — 'needed by anything that handles file uploads' — and a strong exclusion ('files belong in this bucket rather than in Postgres columns, no external S3 provider is needed'). It does not explicitly name provision_postgres as the alternative, so a 4 rather than a 5.

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