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

The annotations already declare readOnly=false, openWorld=true, idempotent=false, and destructive=false. The description adds two facts those annotations do not carry: execution is asynchronous and it routes through external AI services, which matters for latency and failure handling. It stops short of saying what to poll or whether retries duplicate articles.

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 short sentences, front-loaded with the action, then the precondition, then the execution model. Every sentence carries distinct information and there is no filler.

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?

A rich output schema and strong annotations cover returns and safety, and the description supplies the status precondition and async nature. What is missing is the post-trigger workflow — how progress is observed and what a second invocation does — which matters for a non-idempotent, open-world operation.

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?

There is only one parameter and schema coverage is 100%, so the schema already fully documents cluster_id. The description adds no meaning beyond 'for a cluster' — no guidance on how to obtain a cluster_id or what happens if the ID is ineligible status.

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 and resource ('Launch AI-assisted article generation for a cluster'), which cleanly separates it from siblings like create_cluster, publish_article, and refresh_article. It does not explicitly name a sibling as the alternative, but the action is unambiguous.

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?

It gives a concrete precondition ('cluster must be in draft or planned status'), which is real usage guidance. However, it never addresses the closest ambiguity an agent faces: when to use this versus refresh_article on an existing article, or whether it can be re-run on the same cluster.

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