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raffelprama

MCP cldkctl Server

by raffelprama

cldkctl_edit_persistent_volume

Modify persistent volume configurations in Cloudeka projects to adjust storage resources and settings for container workloads.

Instructions

Call the cldkctl_edit_persistent_volume endpoint

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesProject ID
nameYesPersistent Volume name
pv_dataYesPersistent Volume data
Behavior1/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It only states 'Call the endpoint,' which reveals nothing about the tool's behavior—such as whether it's a mutation, requires specific permissions, has side effects, or returns any output. This is inadequate for a tool that likely modifies resources.

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

Conciseness2/5

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

The description is a single sentence that is overly concise to the point of being uninformative. It lacks structure and fails to convey essential details, making it inefficient rather than succinct—every word should add value, but this merely repeats the tool name without earning its place.

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?

Given the complexity implied by editing a Persistent Volume (a Kubernetes resource), no annotations, no output schema, and a vague description, this is highly incomplete. The description does not compensate for the lack of structured data, leaving critical gaps in understanding the tool's operation and effects.

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 clear parameter descriptions (e.g., 'Project ID', 'Persistent Volume name', 'Persistent Volume data'). The description adds no additional meaning beyond the schema, but since the schema is comprehensive, the baseline score of 3 is appropriate as it doesn't detract from parameter understanding.

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_edit_persistent_volume endpoint' is tautological—it restates the tool name without explaining what the tool actually does. It mentions 'edit' but doesn't specify what is being edited (e.g., Kubernetes Persistent Volume settings) or how, leaving the purpose vague beyond the 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?

No guidance is provided on when to use this tool versus alternatives. Given the sibling tools include cldkctl_create_persistent_volume, cldkctl_get_persistent_volume, and cldkctl_delete_persistent_volume, the description fails to differentiate this edit operation from create, get, or delete, offering no context or prerequisites.

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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