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raffelprama

MCP cldkctl Server

by raffelprama

cldkctl_notebook_create

Create and configure Jupyter notebooks in Cloudeka projects by specifying compute resources, storage, and container images for data science workflows.

Instructions

Call the cldkctl_notebook_create endpoint

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesProject ID
nameYesNotebook name
namespaceYesNamespace
imageYesImage ID
cpuYesCPU amount
memoryYesMemory size
storageYesStorage size
gpuNoGPU amount (optional)
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 but offers no behavioral disclosure. It doesn't indicate that this is a creation/mutation operation, what permissions are required, whether it's idempotent, what happens on failure, or any rate limits. This is inadequate for a tool with 8 parameters and no annotation coverage.

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 concise (one sentence) but under-specified rather than efficiently informative. It wastes its single sentence on a tautological statement instead of front-loading useful information, though it avoids verbosity.

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 (8 parameters, no output schema, no annotations), the description is completely inadequate. It fails to explain the tool's purpose, behavior, or usage context, leaving the agent with insufficient information to invoke it correctly beyond parsing the schema.

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%, providing clear descriptions for all 8 parameters (e.g., 'Project ID', 'Notebook name'). The description adds no additional meaning beyond the schema, but with high coverage, the baseline is 3 as the schema does the heavy lifting.

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_notebook_create endpoint' is a tautology that restates the tool name without explaining what it does. It doesn't specify the verb (create) or resource (notebook) clearly, nor does it distinguish from sibling tools like cldkctl_notebook_update or cldkctl_notebook_list. The purpose remains vague beyond invoking an endpoint.

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. With many sibling tools (e.g., cldkctl_notebook_update, cldkctl_notebook_delete, cldkctl_notebook_start), the description offers no context, prerequisites, or exclusions, leaving the agent to guess based on the name alone.

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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