Budget the Arguments and Results Added by Model Tool Calls

How to Use This Tool

Count both the call request and returned tool payload across multiple rounds. Calculate AI tool-call round-trip tokens from call count, argument size, result size and base prompt overhead.

The failure Tool-Call Tokens is designed to catch

Tool results return to the model as context, so a compact argument schema does not prevent a large result payload from dominating cost. The boundary is the job stated in Budget the Arguments and Results Added by Model Tool Calls; Tool-Call Tokens is not intended to score or transform a different workflow.

The Tool-Call Tokens input contract

The fields used for this specific operation are Tool calls per task, Argument tokens per call, Result tokens per call, Base prompt tokens. Keep the source values beside the Tool-Call Tokens result, because replacing the original would remove the evidence needed to reproduce or reverse the operation.

• For Tool-Call Tokens, Tool calls per task starts at 5 in the worked case; replace that example with the matching source value.
• For Tool-Call Tokens, Argument tokens per call starts at 200 in the worked case; replace that example with the matching source value.
• For Tool-Call Tokens, Result tokens per call starts at 800 in the worked case; replace that example with the matching source value.
• For Tool-Call Tokens, Base prompt tokens starts at 2000 in the worked case; replace that example with the matching source value.

Worked result for Tool-Call Tokens

The executable case called Default decision scenario expects out: 7,000.0. Verify that observation before entering real material, and then change one Tool-Call Tokens field at a time so an unexpected direction or formatting change can be traced to a specific input.

Reading the Tool-Call Tokens output

It combines tool calls per task, argument tokens per call, result tokens per call and base prompt tokens into one decision result using the formula explained on the page. Apply that answer only when Tool calls per task, Argument tokens per call, Result tokens per call, Base prompt tokens describe the same scope and format as the worked operation. If the source uses different units, quoting, nesting, timing or account rules, a plausible-looking Tool-Call Tokens output is not sufficient validation.

Assumptions attached to Tool-Call Tokens

• Tool-Call Tokens assumes that all inputs describe the same unit or reporting period unless the field explicitly says otherwise.
• Tool-Call Tokens assumes that the model includes only the four visible inputs and does not infer hidden platform charges.
• Tool-Call Tokens assumes that the page never calls an AI model; token ratios, prices, limits and observed rates are user-supplied planning assumptions.

If one of these Tool-Call Tokens assumptions is false, keep the result as a diagnostic rather than production or decision data, and choose an implementation that explicitly supports the missing rule.

Evidence maintained for Tool-Call Tokens

The recorded reference is JSON Schema — official documentation. Reopen that source when the definition, format, fee or policy behind Tool-Call Tokens changes; private configuration and downstream acceptance still have to be checked in the user's own system.

Where Tool-Call Tokens runs

The named operation executes in browser JavaScript without an ecech calculation API. For Tool-Call Tokens, local execution reduces transmission but does not control browser extensions, device security or the destination where the result is pasted, so sensitive inputs still require the user's normal handling rules.