poker_analyzeUnitConversion

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 analysis and calculation but doesn't specify whether this is a read-only operation, if it has side effects, requires permissions, or handles errors. For a tool with complex nested parameters, this lack of behavioral context is a significant gap.

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 a single, efficient sentence in Japanese that clearly states the tool's function. It's front-loaded with the core purpose and avoids unnecessary details, making it appropriately concise for its content.

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 complexity of nested parameters and lack of annotations or output schema, the description is incomplete. It doesn't explain the tool's behavior, return values, or how to interpret results like physical consistency analysis, leaving the agent with insufficient information for effective use.

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 schema description coverage is 100%, so the schema already documents the parameters well. The description adds minimal value by implying unit conversion and physical consistency analysis, but it doesn't provide additional details beyond what's in the schema, such as explaining the structure of 'targetUnits' or the meaning of 'includePhysicalAnalysis.' Baseline 3 is appropriate given high schema coverage.

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 states the tool 'analyzes and calculates conversion coefficients between different unit systems,' which provides a clear verb ('analyzes and calculates') and resource ('conversion coefficients'). However, it doesn't distinguish this from sibling tools like 'poker_getUnit' or 'poker_validateUnitIntegrity,' which may also involve unit-related operations, leaving the purpose somewhat vague in context.

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 offers no guidance on when to use this tool versus alternatives. It doesn't mention any prerequisites, exclusions, or comparisons to siblings such as 'poker_getUnit' or 'poker_validateUnitIntegrity,' leaving the agent without context for tool selection.

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