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

Annotations already declare destructive=true, idempotent=false, and openWorld=true, so the safety profile is covered. The description adds real behavioral context beyond them: the all-at-once atomicity requirement and the fact the run resumes in the background rather than returning the completed result.

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?

Two sentences, zero waste. The precondition is front-loaded, the atomicity and async-resume behaviors follow immediately, and nothing is repeated from the schema.

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 an output schema present, return values need no explanation, and the description covers the trigger state, the batch requirement, and the background resume. It could still note denial reason semantics or partial-failure behavior, but it is sufficient to invoke the tool correctly.

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%, including the nested approvals array, its items, and the minItems constraint, so the schema carries the parameter meaning. The description only restates that a decision is needed per pending id, adding no format or syntax detail beyond the schema.

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?

Specific verb pair (approve/deny) plus a precise resource (integration actions a run is paused on) and the exact trigger state (status needs_input with pending_approval_ids). It is clearly distinguishable from siblings like get_run, wait_for_run, or cancel_run.

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?

States the precondition for calling (a run paused in needs_input) and the workflow requirement to answer every pending id at once, which is strong context. It does not name alternatives (e.g., wait_for_run for monitoring) or say what happens if a run is not in that state, so it stops short of explicit when-not guidance.

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