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yjiace

AlibabaCloud DevOps MCP Server

by yjiace

find_task_operation_log

Retrieve deployment task execution logs to access detailed scheduling information from downstream deployment engines in Alibaba Cloud DevOps workflows.

Instructions

[application delivery] 查询部署任务执行日志,其中通常包含下游部署引擎的调度细节信息

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
organizationIdYes组织ID
appNameYes
changeOrderSnYes
jobSnYes
stageSnYes
taskSnYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states this is a query operation ('查询'), implying read-only behavior, but doesn't disclose authentication requirements, rate limits, pagination, error conditions, or what format/log level the logs are returned in. For a log retrieval tool with 6 required parameters and no annotation coverage, this is insufficient behavioral disclosure.

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

Conciseness4/5

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

The description is a single, efficient sentence in Chinese that states the core purpose. It's appropriately sized for a simple query tool, though it could be more front-loaded with key usage information. No wasted words or redundancy.

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?

For a tool with 6 required parameters, 0% enum coverage, no output schema, and no annotations, the description is inadequate. It doesn't explain the parameter hierarchy, return format, error handling, or how it differs from sibling log tools. The context signals indicate high complexity, but the description doesn't provide enough information for an agent to use it correctly without guessing.

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

Parameters2/5

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

Schema description coverage is only 17% (1 of 6 parameters described). The description mentions logs contain 'downstream deployment engine scheduling details,' which hints at the content but doesn't explain any parameters. It doesn't clarify what organizationId, appName, changeOrderSn, jobSn, stageSn, or taskSn represent or how they relate to the deployment task hierarchy. The description adds minimal value beyond the sparse schema.

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

Purpose4/5

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

The description clearly states the tool's purpose: '查询部署任务执行日志' (query deployment task execution logs). It specifies the resource (deployment task logs) and indicates these logs contain downstream deployment engine scheduling details. However, it doesn't explicitly differentiate from sibling tools like 'get_machine_deploy_log' or 'get_vm_deploy_machine_log', which appear to be related log retrieval tools.

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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, appropriate contexts, or exclusions. With multiple sibling tools for retrieving logs (e.g., get_machine_deploy_log, get_vm_deploy_machine_log, list_change_order_job_logs), the absence of differentiation is a significant gap.

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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