Lumino

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

With no annotations provided, the description carries full burden and does well by disclosing key behavioral traits: it's a simulation tool (non-destructive), uses 'Monte Carlo simulation and load modeling based on historical data', and mentions risk assessment. However, it doesn't cover permissions needed, rate limits, or computational requirements.

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 perfectly structured: purpose statement first, technical method second, then parameter details, and finally return format. Every sentence earns its place with zero waste, and information is well-organized for quick comprehension.

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 (6 parameters including nested objects), no annotations, and the presence of an output schema, the description is complete. It explains the simulation methodology, all parameters, and the return structure, making it self-sufficient for agent 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?

With 0% schema description coverage, the description fully compensates by providing detailed parameter explanations in the 'Args' section, including all 6 parameters with their purposes, types, and default values. This adds substantial meaning beyond the bare schema.

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: 'Simulate impact of configuration changes before applying to live system with risk assessment.' It specifies the verb ('simulate'), resource ('configuration changes'), and distinguishes from siblings by focusing on pre-application simulation rather than live analysis or investigation tools.

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 implies usage context ('before applying to live system') but doesn't explicitly state when to use this tool versus alternatives like 'check_resource_constraints' or 'resource_bottleneck_forecaster'. It provides some guidance through the purpose statement but lacks explicit comparisons or exclusions.

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