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SweetAI — On-chain AI Agent Intelligence

get_trust_forensics

Sybil forensika ERC-8004 feedbacků: rozdělení dle rizika, per-agent koncentrace reviewerů (Herfindahl), ghost-reviewer ratio, burst detekce, miner-vouch vs earned segmentation. risk: high|medium|low filtr.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
riskNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

No annotations exist, so the description carries the full behavioral burden. It does disclose the analytical nature of the operation (forensic scoring, concentration metrics, burst detection), but says nothing about whether it is read-only, what data scope it queries, latency, or rate limits. It goes beyond a bare name but falls short of the operational transparency a no-annotation tool requires.

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?

One dense sentence front-loads the forensic scope and the analytic outputs, followed by the filter note. Every clause earns its place, though the terse enumeration makes it slightly harder to skim.

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?

An output schema exists, so return values need not be described, and the risk filter values are given. However, the undocumented 'limit' parameter and the absence of any usage/routing guidance leave the definition only minimally complete for a no-annotation analytics 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%, so the description carries the burden. It documents the valid values for 'risk' (high|medium|low), which usefully compensates for that parameter, but the 'limit' parameter (default 50) is left entirely unexplained in both schema and description.

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 (Sybil forensics over ERC-8004 feedbacks) and enumerates the analytic outputs: risk distribution, per-agent Herfindahl reviewer concentration, ghost-reviewer ratio, burst detection, and miner-vouch vs earned segmentation. This clearly separates it from siblings like get_reputation_summary or check_wallet_reputation, though it never explicitly names a sibling to route away from.

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 when-to-use or when-not-to-use guidance is given; it never says whether to call this before or after generating a signal, or how it differs from check_wallet_reputation. The only hint is a filter value list, which is a parameter detail rather than usage context.

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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