loan_payment

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the calculation purpose but does not disclose any behavioral traits such as input validation, error handling, output format, or computational limitations. For a financial calculation tool with no annotation coverage, this leaves significant gaps in understanding how the tool behaves beyond its basic function.

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 that directly states the tool's purpose without any unnecessary words. It is appropriately sized and front-loaded, making it easy to understand at a glance. Every part of the sentence earns its place by clearly defining the tool's function.

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 a financial calculation tool with no annotations, 0% schema description coverage, and no output schema, the description is incomplete. It adequately states what the tool does but lacks essential details such as parameter explanations, behavioral context, and output information, which are necessary for effective use by an AI agent.

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 input schema has 3 parameters with 0% description coverage, so the schema provides no semantic information. The description does not add any meaning beyond the schema; it does not explain what 'loan_amount', 'annual_rate', or 'years' represent, their units, or valid ranges. This fails to compensate for the low schema coverage, leaving parameters undocumented.

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: '计算等额本息贷款的月供金额' (calculate the monthly payment amount for an equal principal and interest loan). It specifies the verb '计算' (calculate) and the resource '等额本息贷款的月供金额' (monthly payment for an equal principal and interest loan), making the function unambiguous. However, it does not explicitly differentiate from siblings like 'compound_interest' or 'future_value_annuity', which are related financial calculations but not identical.

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. It does not mention any prerequisites, context for application, or comparison with sibling tools such as 'compound_interest' or 'present_value_annuity', which might be relevant for different loan or investment scenarios. Usage is implied by the tool's name and description but not explicitly stated.

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