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x402_payment_fraud_detector

Read-onlyIdempotent

Risk-focused tool that analyzes x402-USDC payment transactions for fraud patterns using on-chain forensics. Takes a transaction hash or wallet address as input and returns risk scores, suspicious indicators, and historical patterns. Designed for risk management teams to quickly assess payment legitimacy. Includes keywords: fraud detection, USDC risk, blockchain forensics, transaction monitoring. pass async:true to avoid timeout.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asyncNoIf true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts.
walletAddressNo
includeHistoryNo
amountThresholdNo
transactionHashYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
sourcesYes
warningsYes
riskScoreYes
isSuspiciousYes
sanctionsMatchNo
fraudIndicatorsNo
transactionHistoryNo

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the description carries less burden. The description adds value by noting the async parameter to avoid timeouts, but it does not elaborate on other behavioral aspects like response size or error handling. The tool is non-destructive, which aligns with annotations.

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 description is relatively concise at three sentences. It starts with the purpose, then inputs and outputs, then target audience, and ends with an important note about async usage. The structure is logical and front-loads key information, though the async note could be more prominent.

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?

Given the tool has 5 parameters, an output schema, and safety annotations, the description provides adequate but not thorough context. It covers the main inputs and async behavior, but omits details on includeHistory and amountThreshold. It is sufficiently complete for a risk assessment tool but could be more informative.

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 description coverage is low (20%), but the description explains that the tool takes a transaction hash or wallet address, covering two key parameters. It does not mention includeHistory or amountThreshold. The async parameter is well-described in the schema itself. The description partially compensates for low schema coverage but not entirely.

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 clearly states the tool's purpose: analyzing x402-USDC payment transactions for fraud patterns using on-chain forensics. It specifies inputs (transaction hash or wallet address) and outputs (risk scores, suspicious indicators, historical patterns). While it doesn't explicitly differentiate from siblings like x402_liquidity_monitor or usdc_x402_payments_intel, the focus on fraud detection and on-chain forensics provides implicit distinction.

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

Usage Guidelines3/5

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

The description mentions the tool is 'designed for risk management teams to quickly assess payment legitimacy,' giving some usage context. However, it does not provide explicit when-to-use or when-not-to-use guidance, nor does it compare with alternative tools. The usage is implied but not fully specified.

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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TDQS

C2.8/5.0
Disambiguation2/5

Many tools have overlapping purposes, especially in competitive intelligence, ESG, and risk assessment. For example, there are multiple tools for competitor analysis (competitive_deep_dive, competitor_intel, competitor_moves, etc.) with unclear boundaries. Agents would struggle to select the correct tool without deep understanding of subtle differences.

Naming Consistency2/5

Tool names are a mix of English and French, and follow no consistent pattern. Some use snake_case (e.g., abm_architect, action_plan_esg), while others are verb-focused (e.g., content_catalog, fx_rate). The lack of a uniform naming convention makes it hard for agents to predict tool names.

Tool Count1/5

With 271 tools, the server is excessively large. Even for a broad knowledge domain, this number of tools makes discovery and selection inefficient. Typical coherent servers have 3-15 tools; this has an order of magnitude more, indicating poor scoping.

Completeness3/5

The tool set covers many domains (compliance, finance, marketing, HR, etc.), but the coverage is uneven due to redundancy. Key areas have multiple overlapping tools, while some sub-domains may still have gaps. Overall, the surface is broad but not well-curated.

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