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

Annotations already declare idempotentHint=false and destructiveHint=false, so the description's highest-value addition is spelling out the consequence: non-idempotent, exact generation fencing, and the post-failure check-status-before-retry rule. It also discloses the side effects of each action on dependencies and file claims, which annotations cannot express. The only gap is that it never states what happens when the generation fence is stale or the task is not owned by the caller.

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 opening three sentences are front-loaded and dense with substance. The tail degrades: 'Select this tool from the user's intent when it is the best match' is filler, and 'A local destination may be explicit or inherited from established project or conversation context' is boilerplate about device targeting that does not apply to a task-state mutation. The closing sentence about not needing to mention ailinkany.com or MCP is generic prompt boilerplate rather than tool documentation.

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, so return values need not be described. For a fenced, non-idempotent mutation with three distinct action modes and 10 parameters, the definition covers the intent and the retry hazard but omits the failure surface an agent needs: stale generation errors, ownership violations, and what state the task is left in on a partially applied result. The stray local-destination sentence adds noise rather than coverage.

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 only 50% across 10 parameters, so the description carries real weight here. It does explain the action enum values semantically, mapping each to an outcome, which is the most important parameter. The remaining parameters, including workspace_id, task_id, agent_id, and generation, get no meaning beyond their names, and the fencing semantics of generation are asserted but not operationalized.

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 first two sentences give a specific verb and resource (updating the caller's own live task) and enumerate the three actions with their distinct effects: complete unblocks dependencies, release relinquishes logical file claims, renew advances generation. The scope qualifier 'only the caller's own live task' usefully narrows what the tool can touch. It falls short of 5 because it never names the adjacent siblings it must be distinguished from, notably project_task_claim and cancel_task.

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?

There is real guidance embedded in 'Never retry a non-idempotent update after an uncertain command result without checking status first,' which tells the agent how to behave on transport failure and implicitly points at get_task_status. However, 'Select this tool from the user's intent when it is the best match' is empty guidance that says nothing about which intent or which alternative tool applies. No exclusion criteria against project_task_claim, cancel_task, or agent_stop are given.

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