MCP cldkctl Server

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

No annotations are provided, so the description must fully disclose behavioral traits. It fails to do so—it does not indicate whether this is a read-only or mutative operation, what the output might be (e.g., a dashboard URL, status, or error), or any side effects like authentication needs, rate limits, or resource consumption. The description adds no behavioral context 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 brevity on a tautological statement ('Call the... endpoint') that doesn't convey purpose or usage. A well-structured description would front-load key information, but this lacks any substantive content to structure effectively.

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 implied by the tool name (involving Kubernetes dashboards) and the lack of annotations and output schema, the description is severely incomplete. It does not explain what the tool returns, its behavioral impact, or how it fits into the broader context of sibling tools for Kubernetes and project management. This leaves critical gaps for an agent to understand and use the tool correctly.

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?

The input schema has 100% description coverage, with the single parameter 'project_id' documented as 'Project ID'. The description adds no additional meaning beyond this, such as format examples or constraints. Since schema coverage is high, the baseline score is 3, as the schema adequately handles parameter documentation without extra input from the description.

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_kube_dashboard endpoint' is tautological—it essentially restates the tool name with 'Call' added, failing to specify what the tool actually does. It lacks a clear verb-resource combination (e.g., 'Open a Kubernetes dashboard for a project') and does not differentiate from sibling tools like 'cldkctl_kubeconfig' or 'cldkctl_project_detail', which might also relate to project access or Kubernetes resources.

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?

There is no guidance on when to use this tool versus alternatives. The description does not mention any context, prerequisites, or exclusions, such as whether it's for monitoring, debugging, or accessing Kubernetes resources, nor does it reference sibling tools like 'cldkctl_kubeconfig' for configuration or 'cldkctl_project_detail' for project info. This leaves the agent with no usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.