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

Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=true, so the safety profile is covered. The description adds useful context by listing the specific mutating operations and scoping to private general tasks, but it does not explain behavioral details such as the expected_version concurrency check, confirmation_token requirements, or the effect of cancellation. This is acceptable given annotation coverage but not rich.

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 entire description is a single front-loaded sentence with no filler. Every word contributes either the operation scope or the precise resource context. It is concise without sacrificing the most important differentiators.

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?

Despite having 14 parameters and no schema descriptions, the description provides only one terse sentence. It omits essential context around optimistic locking (expected_version), confirmation tokens, idempotency, and clear-field flags. The output schema and annotations help, but an agent is likely to misuse the more nuanced parameters.

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 0%, so the description must compensate. It only loosely suggests parameter behavior through words like 'complete,' 'cancel,' 'assign,' and 'unassign,' which map to status and assignment fields. It offers no explanation for critical parameters such as expected_version, confirmation_token, idempotency_key, clear_due_at, and clear_description, leaving an agent without enough information to use them correctly.

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 lists a precise set of operations—update, complete, cancel, assign, unassign—tied to a specific resource ('one private general task in the selected SparkLaunch project'). This clearly distinguishes it from sibling tools like tasks.create, tasks.delete, and tasks.list.

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 intended use is implied: it is the tool for modifying an existing task's fields, status, or assignment. However, it does not explicitly contrast itself with tasks.delete (for removal) or tasks.create (for creation), nor does it state when not to use it. The guidance is functional but not explicit.

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