Lumino

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions performing 'log analysis, resource checks, event correlation, and provides remediation suggestions,' which gives some insight into the tool's actions. However, it lacks critical behavioral details such as whether it's read-only or mutative, permission requirements, rate limits, or error handling. For a complex analysis tool with 7 parameters, this is insufficient.

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, followed by a bullet-point-like breakdown of parameters and returns. Every sentence adds value, with no redundant information. It could be slightly more concise by integrating the parameter explanations more seamlessly, but overall it's efficient and front-loaded.

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 complexity (7 parameters, no annotations, but with an output schema), the description is reasonably complete. It explains all parameters in detail and outlines the return structure ('RCA report with summary, timeline, root cause, diagnostics, and remediation'). The output schema reduces the need to fully document returns, but the description could better address behavioral aspects like execution time or resource intensity.

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 adds significant value beyond the input schema, which has 0% description coverage. It provides detailed explanations for all 7 parameters, including their purposes, optional/default behaviors, and allowed values (e.g., 'quick', 'standard', or 'deep' for investigation_depth). This fully compensates for the schema's lack of descriptions and helps the agent understand how to use each parameter correctly.

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: 'Generate automated Root Cause Analysis (RCA) report for pipeline/pod failures.' It specifies the verb ('generate') and resource ('RCA report'), and mentions the scope ('pipeline/pod failures'). However, it doesn't explicitly differentiate from sibling tools like 'analyze_failed_pipeline' or 'analyze_pod_logs_hybrid', 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 many sibling tools focused on analysis (e.g., 'analyze_failed_pipeline', 'analyze_logs'), there's no indication of how this tool's automated RCA generation differs or when it's preferred. The description only states what it does, not when to use it.

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