Kubernetes MCP Server

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

With no annotations provided, the description carries full burden but only states the basic action without disclosing behavioral traits. It doesn't mention whether this is a read-only operation (though implied by 'List'), what permissions are required, how results are formatted (e.g., JSON, YAML), pagination behavior, error conditions, or rate limits. For a Kubernetes tool with potential complexity, this leaves significant gaps.

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, efficient sentence that front-loads the core functionality ('List deployments') followed by the key scope detail. There's zero wasted language, and it's appropriately sized for a straightforward listing tool with well-documented parameters in the schema.

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 Kubernetes operations and lack of both annotations and output schema, the description is insufficient. It doesn't explain what information is returned (e.g., deployment names, statuses, metadata), how to interpret results, error handling, or authentication requirements. For a tool in a rich ecosystem with many siblings, more context is needed to ensure proper agent usage.

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 both parameters ('namespace' and 'all_namespaces') clearly documented in the schema. The description adds minimal value by mentioning the namespace scope, but doesn't provide additional semantics like parameter interactions (e.g., that 'all_namespaces=true' might override 'namespace'), default behaviors, or examples. Baseline 3 is appropriate when schema does the heavy lifting.

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 clearly states the verb ('List') and resource ('deployments') with scope ('in a namespace or all namespaces'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'k8s_get_deployment' or 'k8s_describe_deployment', which might provide more detailed information about specific deployments rather than listing them.

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 implies usage context by specifying 'in a namespace or all namespaces', which suggests when to use namespace parameter vs. all_namespaces. However, it doesn't provide explicit guidance on when to choose this tool over alternatives like 'k8s_get_deployment' (for single deployment details) or 'k8s_list_pods' (for related resources), nor does it mention prerequisites or exclusions.

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