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

The description goes well beyond the annotations by explaining that tasks run fully on the cloud with nothing kept running locally, notifications fire only on actual result changes, pipeline runs leave proof-carrying work orders, and a workspace token is required for later management. It also discloses cost and capacity limits. This is rich behavioral context not available from annotations alone and shows no contradictions.

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 dense but efficiently structured: the core purpose is front-loaded, followed by notification behavior, kind definitions, an important auth prerequisite, and cost note. Every sentence contributes useful information, though a slightly more structured layout (e.g., bulleted kinds) would improve scannability.

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 description covers the main purpose, all kinds, input semantics, notification behavior, auth requirements, and pricing/capacity. It leaves return-value details to the output schema, which is appropriate. A small gap is not describing error conditions or what happens on failed runs, but this is not critical for an agent selecting and invoking the tool.

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%, so the baseline is 3. The description adds substantial meaning to the kind parameter by explaining exactly what watch_page, daily_answer, watch_reachability, and pipeline each do, and clarifies that input can be a URL or a question. It does not add further details for notify_url or interval_seconds beyond the schema, but the existing enrichment is valuable.

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 opens with a specific verb and resource: 'Create a task that runs on a schedule in our cloud.' It goes beyond a generic statement by enumerating the four task kinds and their exact use cases, making it clearly distinct from sibling tools like delete_task, list_tasks, and get_task_runs.

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?

The description gives practical context for when to use this tool: when you want a recurring, server-side scheduled task rather than a one-off operation. It also specifies a prerequisite (workspace token) and references create_pipeline for the pipeline kind. It does not explicitly state when not to use this tool in favor of alternatives like china_reachability, but the kind descriptions provide enough guidance.

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