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aliyun

AlibabaCloud DevOps MCP Server

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by aliyun

create_work_item_comment

Add a comment to a work item in Alibaba Cloud DevOps by providing organization ID, work item ID, and content. Use it to share updates, ask questions, or record feedback on project tasks.

Instructions

[Project Management] Create a comment for a specific work item

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes评论内容
workItemIdYes工作项ID
organizationIdYes企业ID

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed1 schema field changedv0.3.62
    • changedInput schema / properties / workItemId / type
      Previous value: -"string"New value: +[
      +  "string",
      +  "number"
      +]
  2. Changed2 schema fields changedv0.3.60
    • removedInput schema / $schema
      Removed value: -"http://json-schema.org/draft-07/schema#"
    • changedInput schema / properties / organizationId / description
      Previous value: -"企业ID,可在组织管理后台的基本信息页面获取"New value: +"企业ID"
  3. First observedv1.0.0

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. 'Create' implies a mutation, but there is no mention of permissions, idempotency, error behavior, or expected response. The agent has no indication of side effects or whether the operation is synchronous. This is a significant gap for a mutation tool.

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?

A single, front-loaded sentence conveys the exact purpose with zero redundancy. It is appropriately sized for the tool's simplicity and contains no filler.

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

Completeness2/5

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

The description is minimal and does not address usage context, behavioral implications, or return values. Given the absence of an output schema and annotations, the agent lacks information about what to expect after calling the tool. For a create operation, this is incomplete; it should at least mention permissions or response characteristics.

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

Parameters3/5

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

The schema covers all parameters with descriptions (in Chinese), providing 100% coverage. The tool description does not add any extra meaning beyond the schema; it merely restates the operation. Since the schema already documents each parameter, a baseline of 3 is appropriate, and no additional value is provided by the description.

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 the action (create), the resource (comment), and the scope (for a specific work item). It distinguishes itself from sibling tools like list_work_item_comments (listing) and update_work_item (updating the work item itself) by naming the exact operation.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus alternatives. For instance, it does not clarify when to use create_work_item_comment instead of create_change_request_comment, nor does it mention any prerequisites or conditions. The agent must infer usage solely from the name.

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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