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AgentTrust

by raditotev

sybil_check

Check an agent for sybil behavior by detecting mutual feedback loops, rapid registration bursts, and long delegation chains. Returns a risk score and suspicion flag.

Instructions

Run sybil detection checks against an agent.

Detects three suspicious patterns:

  • ring_reporting: mutual positive feedback loops (A rates B high, B rates A high)

  • burst_registration: many agents registered in a short time window

  • delegation_chain: unusually long delegation chains (>3 hops)

Returns risk_score (0.0 clean → 1.0 suspicious), is_suspicious flag, and detailed signals with severity and evidence.

No authentication required — this is a public safety tool.

Example call: sybil_check(agent_id="550e8400-e29b-41d4-a716-446655440000")

Example response: { "agent_id": "550e8400-...", "risk_score": 0.0, "is_suspicious": false, "is_high_risk": false, "signals": [], "checked_at": "2026-03-20T12:00:00+00:00" }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_idYes
Behavior4/5

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

Since no annotations are provided, the description carries full burden. It details the three detection patterns, describes the return format (risk_score 0.0-1.0, is_suspicious flag, signals), and gives an example response. It does not explicitly state read-only behavior but implies it.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured: purpose statement, list of detection patterns, summary of output format, and example call/response. No unnecessary words.

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

Completeness5/5

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

Given the low complexity (single parameter, no output schema), the description is complete. It explains what the tool detects, what it returns, and provides an example. No information is missing.

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?

Schema description coverage is 0%, but the description compensates by providing a concrete example of the agent_id parameter with a UUID format. It adds value beyond the schema's type and title.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Run sybil detection checks against an agent' and lists three specific suspicious patterns. This distinguishes it from siblings like check_trust and check_trust_batch, which focus on trust scores.

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?

The description provides context by stating 'No authentication required — this is a public safety tool.' It includes an example call, but does not explicitly state when not to use this tool or compare it to alternatives.

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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