Dokploy MCP Server

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

Annotations indicate this is a non-read-only, non-destructive, non-idempotent, open-world operation, but the description adds no behavioral context beyond this. It doesn't explain what 'deploy' entails (e.g., creates resources, starts services), potential side effects, authentication needs, or rate limits. With annotations covering basic hints, the description fails to add meaningful value.

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 under-specified, not concise. It wastes space on a redundant header '[ai] ai.deploy (POST)' and a bare parameter list without meaningful context. It lacks a clear purpose statement upfront, making it inefficient for quick understanding.

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 (9 parameters with nested arrays, no output schema, and annotations only providing basic hints), the description is severely incomplete. It doesn't explain what the tool does, how to use parameters, what happens on deployment, or what to expect in return, making it inadequate for safe and effective use.

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%, meaning parameters are undocumented in the schema. The description only lists parameter names and types without explaining their purpose, expected formats (e.g., what 'dockerCompose' should contain, how 'envVariables' are formatted), or relationships. This leaves 9 parameters, including complex arrays like 'domains' and 'configFiles', completely unexplained.

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 is a tautology that merely restates the tool name 'ai.deploy' and lists parameters without explaining what the tool actually does. It fails to specify the verb (e.g., deploy an AI model, application, or service) or the resource being deployed, and doesn't distinguish it from sibling tools like 'dokploy_ai_create' or 'dokploy_application_deploy'.

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. It doesn't mention prerequisites, appropriate contexts, or exclusions, leaving the agent with no information to decide between this and similar deployment tools in the sibling list.

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