get_pod_diagnostics

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

No annotations are provided, so the description carries full burden. While it mentions the tool returns 'actionable recommendations' and a 'detailed diagnostic report,' it doesn't disclose critical behavioral traits like whether this is a read-only operation, if it requires specific permissions, performance characteristics, or potential side effects. The description is insufficient for a mutation-sensitive context.

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 extremely efficient with zero waste. The first sentence clearly states purpose, and the Args/Returns sections are well-structured and front-loaded. Every sentence earns its place by adding essential information.

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 has an output schema (which handles return values) and simple parameters, the description covers the basics adequately. However, for a diagnostic tool with no annotations, it should ideally mention more about the analysis scope, limitations, or what 'actionable recommendations' entail to be fully complete.

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 description must compensate. It lists both parameters (namespace, pod_name) with brief explanations, adding meaning beyond the bare schema. However, it doesn't provide format details, constraints, or examples that would be needed for full understanding, leaving some gaps.

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 performs 'Comprehensive pod health analysis' with specific components (events, status, recommendations), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'detect_pod_restarts_anomalies' or 'inspect_gpu_pod', which might also analyze pod health in different ways.

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 sibling tools like 'detect_pod_restarts_anomalies' and 'inspect_gpu_pod' that might overlap in pod analysis, there's no indication of when this comprehensive diagnostic is preferred over more specialized tools.

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