MCP cldkctl Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure but offers none. It doesn't indicate whether this is a read or write operation, what permissions are required, what the output might contain, or any side effects. The phrase 'Call the... endpoint' is generic and doesn't reveal behavioral traits like rate limits, authentication needs, or what happens upon invocation.

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?

The description is a single, overly concise sentence that under-specifies the tool's purpose rather than being efficiently informative. While it's brief, it fails to front-load critical information and doesn't earn its place by adding value. This isn't true conciseness but rather a lack of necessary detail, making it ineffective for an AI agent.

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 (likely involving Kubernetes configuration), no annotations, no output schema, and a minimal description, this is completely inadequate. The description doesn't explain what the tool returns, how it behaves, or its role among many sibling tools. It leaves the agent guessing about functionality, making it insufficient for effective tool selection and invocation.

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 schema, as it doesn't mention parameters at all. According to the rules, with high schema coverage (>80%), the baseline score is 3, reflecting that the schema adequately covers parameter semantics without help 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_kubeconfig endpoint' is a tautology that restates the tool name with minimal added meaning. It vaguely suggests an API call but doesn't specify what the tool actually does (e.g., retrieves, generates, or manages kubeconfig files). While it mentions 'kubeconfig' which hints at Kubernetes configuration, it lacks a specific verb and resource combination that would clarify its function.

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 many Kubernetes-related operations (e.g., cldkctl_get_pod, cldkctl_k8s_configmaps), there's no indication of how this tool differs or when it's appropriate. It fails to mention prerequisites, context, or any explicit when/when-not scenarios.

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