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raffelprama

MCP cldkctl Server

by raffelprama

cldkctl_create_persistent_volume

Create persistent volumes in cloud environments using Cloudeka's CLI functionality through MCP-compatible clients.

Instructions

Call the cldkctl_create_persistent_volume endpoint

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pv_dataYesPersistent Volume data
Behavior1/5

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

With no annotations provided, the description carries full burden for behavioral disclosure but fails completely. It doesn't indicate whether this is a read or write operation (though 'create' in the name suggests mutation), what permissions are required, whether it's idempotent, what happens on success/failure, or any rate limits. The description adds zero behavioral context beyond the minimal implication of creation.

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

Conciseness3/5

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

The description is extremely concise (one sentence) but this brevity comes at the cost of being under-specified rather than efficiently informative. While it's not verbose or repetitive, it fails to provide essential information that would help an agent understand and use the tool effectively. The single sentence doesn't earn its place by adding meaningful value.

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

Completeness1/5

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

For a creation/mutation tool with no annotations and no output schema, the description is completely inadequate. It doesn't explain what a persistent volume is in this context, what the creation entails, what the expected response looks like, or any error conditions. Given the complexity implied by the nested object parameter and the lack of structured metadata, the description fails to provide the necessary context for effective tool use.

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?

Schema description coverage is 100% with the single parameter 'pv_data' documented as 'Persistent Volume data'. The description adds no additional parameter information beyond what the schema already provides. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no parameter details in the description, which applies here.

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 'Call the cldkctl_create_persistent_volume endpoint' is essentially a tautology that restates the tool name with minimal added value. It uses the verb 'call' which is generic and doesn't specify what the tool actually does (creating a persistent volume resource). While it implies creation through the name, the description itself fails to articulate the purpose beyond restating the endpoint name.

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 absolutely no guidance on when to use this tool versus alternatives. Given the sibling tools include cldkctl_get_persistent_volume, cldkctl_edit_persistent_volume, and cldkctl_delete_persistent_volume, there's no indication of when creation is appropriate versus retrieval, modification, or deletion. No prerequisites, constraints, or context for usage are 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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