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dokploy_server_validate

dokploy_server_validate
Read-onlyIdempotent

Validate the configuration and connectivity of a specified Dokploy server to ensure it's ready for deployment operations.

Instructions

[server] server.validate (GET)

Parameters:

  • serverId (string, required)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
serverIdYes
Behavior3/5

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

Annotations provide readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true, which already tell the agent this is a safe, repeatable read operation. The description adds minimal behavioral context by specifying it's a GET request, but doesn't explain what validation entails, what happens on failure/success, or any side effects. With good annotation coverage, the bar is lower, but the description adds only basic HTTP method information.

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 extremely concise with only two lines. It's front-loaded with the tool signature and lists the parameter. However, the conciseness comes at the cost of being under-specified rather than efficiently informative. No sentences are wasted, but more content would be beneficial.

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?

Given this is a validation tool with no output schema, the description should explain what the tool returns (validation results, status, errors). The annotations cover safety aspects well, but the description fails to explain what 'validate' means operationally, what constitutes success/failure, or what the agent can expect as output. For a validation operation, this leaves significant gaps in understanding.

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 0%, meaning the schema provides no descriptions for the single parameter (serverId). The description only lists 'serverId (string, required)' without explaining what a serverId is, where to find it, its format, or what validation is performed on it. For a tool with zero schema coverage, this minimal parameter listing is insufficient compensation.

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

Purpose2/5

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

The description states '[server] server.validate (GET)' which is essentially a tautology of the tool name and title. It doesn't explain what 'validate' means in this context - whether it validates server configuration, connectivity, permissions, or something else. While it mentions the server resource, the verb 'validate' remains vague without clarifying what aspect is being validated.

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

Usage Guidelines1/5

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. With numerous sibling tools (including dokploy_server_setup, dokploy_server_update, dokploy_server_one, dokploy_server_security, etc.), there's no indication of when validation is appropriate versus other server operations. No prerequisites, timing, or context for usage is mentioned.

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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