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Audit Task

audit_task

Verify completed work against task specifications using AI, with optional consensus for high-stakes tasks.

Instructions

Verify whether completed work meets a task specification using AI.

Before calling, pay the fee via one of two options: Option 1: Send $0.10 (XRP or RLUSD) to rmcSrkpZ2i2kuvtCPeTVetee9SixP4djR on XRPL Mainnet, or $0.10 USDC on Base. Option 2: Send $0.10 USDC on Base (chain 8453) — call with no fee first to get the address. Each fee_hash is single-use (anti-replay protection).

Returns: status (approved/rejected), verdict (PASS/FAIL), score (0-100), summary, details, criteria_met, criteria_failed, model_used.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYesThe task requirements or specification the worker must meet.
workYesThe work, output, or proof of completion to evaluate against the specification.
fee_hashYesTransaction hash of the fee payment. For XRP: 64-char hex of an XRPL Payment tx. For USDC on Base: 0x-prefixed 66-char EVM tx hash. Each hash is single-use.
task_categoryNoEvaluation rubric. One of: default, creative, code, data, data_analysis, bug_bounty, legal, supply_chain.default
require_consensusNoWhen True, two AI models must independently agree before returning PASS. Recommended for high-stakes tasks.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior4/5

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

The description adds meaningful behavioral context beyond the annotations: the mandatory fee, two payment paths, single-use fee_hash anti-replay protection, and the return field list. However, Option 2's 'call with no fee first' is ambiguous because fee_hash is a required parameter, and consensus behavior is only implied by the schema.

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?

The purpose is front-loaded, and the fee instructions and return list are structured and non-redundant. The description is somewhat long due to the payment details, but each sentence carries necessary operational information.

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

Completeness3/5

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

The description covers the fee workflow and return shape, which is helpful, but the 'call with no fee first' instruction under Option 2 conflicts with the schema requiring fee_hash. It also does not explain when require_consensus is advisable or how to route to alternatives. Overall, it is adequate but has a notable ambiguity.

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?

The input schema already describes all five parameters with full coverage, including fee_hash format and task_category options. The description adds no additional parameter-level meaning beyond what the schema provides, so the baseline of 3 applies.

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

Purpose4/5

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

The description opens with a specific verb-resource pair: 'Verify whether completed work meets a task specification using AI.' This clearly identifies the tool's core function and distinguishes it from escrow- or payment-specific siblings, though it does not explicitly name an alternative.

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

Usage Guidelines2/5

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

No guidance is given for when to choose audit_task over sibling tools such as evaluate_escrow_work. The only process guidance is the fee payment requirement, which is about how to call the tool, not when to use it.

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