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

Board stats

stats
Read-only

Board-wide reputation numbers for ERC-8004 agents on Base over the 30-day window: agents scored, ranked, rookies, bounced, farm raters, share of reviews farmed. Free within the per-IP allowance.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already establish readOnlyHint and closed-world scope, so the description's added value is the operational framing: a fixed 30-day window, aggregate-only metrics, and free access within a per-IP allowance (a rate-limit signal). That is useful context beyond the annotations, though it doesn't cover freshness/lag of the aggregation.

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?

A single front-loaded sentence that leads with scope and timeframe before the metric list. The metric enumeration is slightly list-like but each item is a distinct field the caller will see, so it earns its space; only the trailing rate-limit clause could arguably move earlier.

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?

Complete for a no-parameter read tool: annotations carry the safety profile, an output schema exists so return shape need not be explained, and the description supplies the scope, window, and cost model. Only the data freshness and whether results are cached for the window are unspecified.

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

Parameters4/5

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

The tool takes zero parameters, so there is no parameter semantics to document and the baseline of 4 applies. Schema coverage is 100% and additionalProperties is false, leaving nothing ambiguous.

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?

Names a specific resource (board-wide reputation numbers for ERC-8004 agents on Base) and even enumerates the metric names an agent will receive. It implicitly contrasts with the per-agent siblings (check_agent, find_agent, outcomes) via 'board-wide', but never names an alternative, so it stops short of full sibling differentiation.

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?

Usage is only implied: a zero-parameter, board-wide aggregate is evidently the bird's-eye overview, while sibling tools operate per agent or per event. There is no explicit 'use this when you want X instead of Y' and no stated prerequisites beyond the rate-limit note.

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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