get_node_details

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 states the tool returns 'JSON string containing detailed information about the node,' which is minimal but helpful. However, it lacks critical details like whether this is a read-only operation (implied but not stated), error conditions, authentication requirements, or rate limits—important for a Kubernetes tool with potential security implications.

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 appropriately sized and well-structured with clear sections for Args and Returns. Each sentence earns its place by defining the purpose and explaining parameters concisely. However, the 'JSON string' return statement could be more precise (e.g., specifying structure or key fields).

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 (Kubernetes node details), lack of annotations, and no output schema, the description is minimally complete. It covers the basic purpose and parameters but lacks depth on behavioral traits, error handling, or example output. For a tool in a rich sibling set with security implications, more context would improve agent effectiveness.

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 0%, so the schema provides no parameter descriptions. The description adds basic semantics by explaining 'context_name' as 'The Kubernetes context name' and 'node_name' as 'The name of the node to get details for,' which clarifies their roles. However, it doesn't provide format examples, validation rules, or context on how to obtain these values, leaving gaps in usability.

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 tool's purpose as 'Get detailed information about a specific node,' which is a specific verb+resource combination. It distinguishes from siblings like 'list_nodes' (which lists all nodes) and 'get_node_pods' (which focuses on pods on a node). However, it doesn't explicitly contrast with these siblings in the description text 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. It doesn't mention when to choose 'get_node_details' over 'list_nodes' or 'get_node_pods,' nor does it specify prerequisites or contextual constraints beyond the required parameters.

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