AlibabaCloud DevOps MCP Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It merely states the action 'resume' without explaining what this entails—such as whether it restarts a paused deployment, requires specific permissions, has side effects, or impacts other operations. This leaves critical behavioral traits unspecified 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.

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

The description is extremely concise with a single phrase, but it under-specifies rather than being efficiently informative. While it avoids verbosity, it fails to provide necessary context, making it more of a placeholder than a well-structured description that front-loads key information.

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?

Given the complexity of a mutation tool with no annotations and no output schema, the description is insufficiently complete. It lacks details on behavior, side effects, prerequisites, and expected outcomes, leaving significant gaps for an AI agent to understand and correctly invoke the tool in context with its siblings.

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 100%, with all three parameters clearly documented in the input schema (organizationId, pipelineId, deployOrderId). The description adds no additional semantic context about these parameters, such as their interrelationships or usage examples. The baseline score of 3 reflects adequate parameter documentation solely from the schema.

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 'Resume VM deploy order' is essentially a tautology that restates the tool name with minimal elaboration. It specifies the verb 'resume' and resource 'VM deploy order' but lacks specificity about what 'resuming' entails operationally, and it doesn't distinguish this tool from sibling tools like 'stop_vm_deploy_order' or 'retry_vm_deploy_machine' in terms of scope or effect.

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?

The description provides no guidance on when to use this tool versus alternatives, prerequisites, or exclusions. It doesn't mention related tools like 'stop_vm_deploy_order' or 'retry_vm_deploy_machine', nor does it specify conditions under which resuming is applicable (e.g., after a stop or failure).

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