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Trust forensics

get_trust_forensics
Read-onlyIdempotent

Sybil forensics on ERC-8004 feedback: risk distribution, per-agent reviewer concentration (Herfindahl), ghost-reviewer ratio, burst detection and miner-vouch versus earned segmentation. Use it to check whether an agent's feedback is bought. Filter risk: high | medium | low. For a pay-or-not decision use should_i_pay.

Input Schema

NameRequiredDescriptionDefault
riskNo
limitNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

The annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds analytic context by naming the segmentation and detection methods behind the output, but says nothing about data freshness, chain scope, or cost/latency. Adequate given annotation coverage, not rich.

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?

Three tight sentences with no filler: the core function comes first, then the decision framing, then the parameter hint and sibling redirect. The metric list is dense with domain jargon (ERC-8004, Herfindahl) but each term does real discriminating work rather than being decoration.

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?

An output schema exists, so the description need not explain return values, and annotations carry the safety profile. What remains slightly incomplete is the undocumented limit parameter and the absence of any indication of data source or refresh cadence for an open-world forensics tool.

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 0% and the schema declares no enum, so 'Filter risk: high | medium | low' is genuinely valuable compensation — it supplies the allowed values the schema omits. However, the second parameter (limit, default 50) is never mentioned, leaving half the inputs undocumented.

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?

States a specific verb+resource combination — Sybil forensics on ERC-8004 feedback — and enumerates the concrete signals it computes (Herfindahl concentration, ghost-reviewer ratio, burst detection, vouch vs earned segmentation). It explicitly distinguishes itself from should_i_pay, though it does not separate itself from other trust/reputation siblings such as check_agent_trust or reputation_origin.

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

Usage Guidelines4/5

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

Gives a clear use case ('check whether an agent's feedback is bought') and routes the pay-or-not decision to should_i_pay, which is an explicit alternative. There are no explicit exclusions or preconditions beyond that, so it falls short of a full 5.

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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