get_namespace_details

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

No annotations are provided, so the description carries full burden for behavioral disclosure. While 'Get detailed information' implies a read-only operation, it doesn't explicitly state whether this requires specific permissions, what format the JSON output contains, or any rate limits or constraints. For a Kubernetes tool with no annotation coverage, this leaves significant behavioral questions unanswered.

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 well-structured and appropriately sized. It starts with a clear purpose statement, then provides separate sections for Args and Returns. Each sentence serves a distinct purpose without redundancy. The only minor improvement would be integrating the parameter explanations more naturally rather than as separate labeled sections.

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 tool's moderate complexity (2 required parameters, no output schema, no annotations), the description provides basic but incomplete coverage. It explains what the tool does and what parameters mean, but lacks crucial context about when to use it versus siblings, what the JSON output contains, and behavioral constraints. For a Kubernetes namespace details tool, this leaves important gaps in understanding.

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 that 'context_name' is 'The Kubernetes context name' and 'namespace' is 'The name of the namespace to get details for.' This clarifies what each parameter represents, but doesn't provide format examples, validation rules, or contextual usage guidance. Given the coverage gap, this provides moderate compensation.

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: 'Get detailed information about a specific namespace.' This specifies the verb ('Get') and resource ('namespace'), making it easy to understand what the tool does. However, it doesn't differentiate from similar tools like 'list_namespaces' or 'get_namespace_resource_quota' among the many sibling tools, which prevents a perfect score.

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. With numerous sibling tools including 'list_namespaces' and 'get_namespace_resource_quota', there's no indication of when this detailed view is appropriate versus listing namespaces or getting quota information specifically. The description only states what it does, not when to choose it.

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