progressive_event_analysis

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'progressive event analysis' and 'correlation detection' but doesn't explain what these mean operationally - whether this is a read-only analysis, if it modifies data, what permissions are required, or how results are structured. The return statement is generic ('Dict: Analysis results based on selected level') without detailing output format or behavior.

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 with a clear opening statement followed by organized 'Args' and 'Returns' sections. Each sentence adds value, though the opening statement could be slightly more specific about what 'progressive' means in this context. The parameter explanations are efficient and directly informative.

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?

For a 6-parameter tool with no annotations, the description does well on parameters but lacks behavioral context. The existence of an output schema reduces the need to detail return values, but the description should still explain what 'progressive analysis' entails, how correlation detection works, and any operational considerations. With many similar sibling tools, more differentiation would improve completeness.

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 description provides excellent parameter semantics despite 0% schema description coverage. It clearly explains each parameter's purpose: 'namespace: Kubernetes namespace to analyze', 'analysis_level' with its four possible values, 'time_period' format examples, 'event_filters' with concrete examples, 'seed_event_id' purpose, and 'focus_areas' with default values. This fully compensates for the schema's lack of descriptions.

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 'progressive event analysis with multiple detail levels and correlation detection' in a Kubernetes namespace, which is a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'smart_get_namespace_events' or 'advanced_event_analytics', which appear to offer similar event-related functionality.

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 many sibling tools offering event analysis, log analysis, and namespace investigation capabilities, there's no indication of this tool's specific use cases, prerequisites, or how it differs from tools like 'adaptive_namespace_investigation' or 'advanced_event_analytics'.

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