batch_update_tasks

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

With no annotations provided, the description carries the full behavioral burden. It discloses the asynchronous nature via '后台任务 ID 列表' (background task ID list) and the identity-switching capability via user_key (X-USER-KEY). However, it does not state whether updates are partial/patch-style, how per-item failures are reported, or whether the operation is reversible.

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 docstring is front-loaded with the purpose statement, followed by a clean Args list and a Returns note. It is verbose, but every line earns its place given the 0% schema coverage — the parameter list is necessary documentation rather than padding.

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?

For a 12-parameter mutation tool with zero annotations, the description covers parameter semantics and return shape well. It falls short on resolving sibling choice (update_task is a near-duplicate for single items) and on clarifying partial-update semantics — gaps that matter because the schema marks zero parameters as required.

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%, and the description fully compensates: it documents all 12 parameters, including value formats (project by name or Key, priority examples like P0/P1/P2, assignee by name or email) and the dependency relationship between field_name and field_value. This adds substantial meaning that the bare schema entirely lacks.

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-resource statement — '批量更新工作项字段' (batch update work item fields) — and clarifies the scope as single or multiple work items. This functionally differentiates it from singular siblings like update_task, though it never names the sibling explicitly.

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 no explicit when-to-use or when-not-to-use guidance relative to sibling tools such as update_task or transition_task_status; usage context is only implied by the 'batch' designation. The only concrete usage guidance present is parameter-level — issue_id and issue_ids are flagged as mutually exclusive (二选一), which helps invocation but not tool selection.

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