MCP cldkctl Server

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It fails to indicate that this is a mutation operation (editing implies modification), what permissions might be required, whether changes are destructive or reversible, or what the expected outcome is. The description is completely silent on behavioral traits beyond the vague action 'call'.

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?

While concise with a single sentence, the description is under-specified rather than efficiently informative. It wastes its limited space on a tautological statement ('Call the... endpoint') that doesn't add value. A well-structured description would front-load the purpose, but this one provides no substantive content to structure.

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 of editing a Kubernetes DaemonSet (a mutation operation with nested objects), no annotations, and no output schema, the description is severely incomplete. It doesn't address what the tool does, how to use it, what behavior to expect, or what it returns. For a tool with four required parameters including an object, this is inadequate.

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 100%, with all four parameters clearly documented in the schema (project_id, namespace, name, daemonset_data). The description adds no additional meaning about these parameters—it doesn't explain what 'daemonset_data' should contain, how to format it, or the relationships between parameters. Since the schema does the heavy lifting, the baseline score of 3 is appropriate.

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 'Call the cldkctl_edit_daemonset endpoint' is a tautology that merely restates the tool name with minimal action. It doesn't specify what 'edit' means (e.g., update, modify, patch) or what resource is being edited (a Kubernetes DaemonSet). While the name suggests editing a DaemonSet, the description adds no clarity beyond the name itself.

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. Given the sibling tools include 'cldkctl_create_daemonset', 'cldkctl_delete_daemonset', and 'cldkctl_get_daemonset', there's no indication of when editing is appropriate versus creating, deleting, or retrieving. 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.