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Bulk Update PingCode Work Items

pingcode_bulk_update_work_items

Batch update work items' priority, assignee, or status by identifiers, with dry-run mode to preview changes and skip items not matching expected current status.

Instructions

用原生批量端点为多个工作项编号批量改优先级/负责人/状态。默认 dryRun=true,支持 expectedCurrentStatusName 跳过不匹配项;每个变更字段各发一次 bulk PATCH。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNo工作项类型,默认 bug。bug
dryRunNo默认 true,仅返回计划;传 false 才执行。
stateIdNo目标状态 ID;提供后优先于 statusName。
projectIdNoPingCode 项目 ID,提供后跳过项目标识查询。
statusNameNo目标状态名称。
identifiersYes要批量更新的工作项编号列表,≤100。
assigneeNameNo目标负责人姓名。
priorityNameNo目标优先级名称。
projectIdentifierNoPingCode 项目标识,默认读取 PINGCODE_PROJECT_IDENTIFIER。
expectedCurrentStatusNameNo当前状态保护:不匹配的条目被跳过。
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that dryRun=true by default (safety) and that each field change triggers a separate bulk PATCH. However, it lacks explicit details on authorization needs, rate limits, or reversibility of changes.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with purpose, followed by key behavioral details. Every part serves a function; no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 10-parameter tool with no output schema, the description covers the bulk operation pattern, dry run, and field-level updates. It could note return format or error handling but is sufficient for agent decision-making.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with all parameters described. The description adds value by explaining overarching behavior (dryRun default, field-level PATCHes, expectedCurrentStatusName role) beyond individual parameter descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it's for bulk updating work items (priority/assignee/status) using the native bulk endpoint, differentiating it from single-update siblings like pingcode_update_bug_status.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains dryRun default and expectedCurrentStatusName, but does not explicitly state when to use this tool versus alternatives like single-update tools. Usage guidance is implied rather than explicit.

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

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