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makememoneynomistakes.ai: ERC-8004 agent reputation and fraud checks

The Bouncer's log

bouncer_log
Read-only

The fraud log for ERC-8004 agents on Base: hard and soft flags (self-hires, payment loops, shared funders, bursts, review farms) plus coordinated reviewer cohorts, newest first, with onchain receipts. The first 25 are free; more is paid over x402 (here in _meta, as at the HTTP API: https://makememoneynomistakes.ai/skill.md), or a call-bundle pass covers it.

Input Schema

NameRequiredDescriptionDefault
limitNoItems per page, 1 to 100. Over 25 is a paid call (a pass covers it).

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered. The description adds real value beyond that: result ordering ('newest first'), the free-tier boundary at 25, and the payment mechanism with where to find details (_meta, skill.md).

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?

It front-loads what the tool is before getting into the payment mechanics, and the flag enumeration is informative rather than filler. The embedded URL and dual payment-path explanation make it denser than ideal, but every element earns its place.

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

Completeness4/5

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

With an output schema present, return values need not be explained, and the description covers domain, contents, ordering, and cost gating. The lack of explicit sibling routing is the only notable gap for an agent choosing between these tools.

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 100% for the single 'limit' parameter, and the schema itself already states the 1-100 range and the over-25 cost. The description restates the free/paid boundary but adds no syntax or format detail the schema lacks, so the baseline 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 names a specific resource within a well-defined domain ('the fraud log for ERC-8004 agents on Base') and enumerates its contents (hard/soft flags, reviewer cohorts, onchain receipts). An agent knows exactly what it retrieves, though it never explicitly contrasts itself with siblings like stats or outcomes.

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?

It explains the access/payment model (first 25 free, more via x402 or a call-bundle pass), which is genuine usage context. However, it gives no when-to-use guidance relative to alternatives such as check_agent for a single agent or stats for aggregates.

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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