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tokenpull_compare

Compare token usage from multiple local sources side-by-side with baseline delta and cascade metrics to validate and reconcile discrepancies.

Instructions

Pull token usage from ALL four local sources in parallel — tokenpull (JSONL canon), ccusage CLI, token-dashboard SQLite, and tokscale report — and return them side-by-side with delta % vs tokenpull as the baseline. Also computes the cascade (Υ, SNR, Leverage, class) for each source so you can see how each verifier scores. Useful for validating your numbers before submitting, or understanding discrepancies between tools. Claude only for token-dash; codex and others use tokenpull + ccusage + tokscale. Token-only, on-device.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformNoplatform to compare (default: claude). token-dash and App only available for claude.
Behavior5/5

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

No annotations provided, so description carries full burden. It discloses parallel pulling from four sources, baseline behavior, cascade computation, and 'Token-only, on-device' constraint. Fully transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Well-structured with main action front-loaded. Slightly verbose but each sentence adds value. Could be trimmed slightly but still efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter tool with no output schema, description covers purpose, usage, behavior, and platform specifics completely. No gaps identified.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with one enum parameter. Description adds platform-specific caveat but no additional parameter semantics beyond schema. Baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states it pulls token usage from four sources in parallel, compares with delta % vs tokenpull baseline, and computes cascade metrics. Distinguishes itself from sibling tools like tokenpull and tokenpull_submit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states use cases: 'validating your numbers before submitting, or understanding discrepancies between tools.' Also notes platform availability: 'Claude only for token-dash; codex and others use tokenpull + ccusage + tokscale.' Provides when-not-to-use guidance.

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

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