deterministic_calc_engine

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

With no annotations provided, the description carries the full burden, and it does add two meaningful behavioral facts: the engine promises precision (no floating-point drift) and it costs 0.01 USDC on Base L2. However, it does not disclose what the tool returns, failure modes for invalid payloads, or whether the payment is charged only on success — a notable gap for a paid tool.

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?

One front-loaded sentence plus a terse parenthetical; there is no filler and the core purpose leads. The parenthetical about the USDC cost is compact but slightly cryptic — it reads as pricing, though it is never labeled as such — preventing a 5.

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?

This is a fee-charging tool with no annotations and no output schema, so the description must compensate. It fails to specify what a valid payload looks like, what the result format is, or how payment is enforced despite paymentSignature being optional in the schema. An agent knows why to call it but not what to send or what to expect back.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds marginal value beyond the schema: the '(0.01 USDC on Base L2)' note supplies the payment amount for paymentSignature, and 'financial ledger arithmetic' hints at payload content. It does not explain the expected payload wire format for arithmetic expressions.

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 names a specific function — precision floating-point and financial ledger arithmetic — and frames it as a way to bypass LLM calculation errors. It is distinct from the domain-specific calculation siblings (compound yield, slippage, impermanent loss) in that it presents itself as a general-purpose engine, though it does not explicitly distinguish itself from close cousins like safe_eval_math_expression.

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 phrase 'to bypass LLM calculation errors' implies the trigger condition: use this tool when exact arithmetic matters more than convenience. However, it gives no explicit guidance on when not to use it and never points to alternatives among the many calculation-focused sibling tools, leaving selection to inference.

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