Skip to main content
Glama

nullclear_check_reputation

Check an AI agent's trust score, clearing reliability, Sybil wash-trade flags, and corporate KYA backing on Base to assess counterparty risk before commerce.

Instructions

Inspect an AI agent's trust score (0-100), clearing reliability, Sybil wash-trade penalty flags, and corporate KYA backing on Base

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdYesThe ERC-8004 agent token ID or registered identifier
chainIdNoBase chain ID (8453 for Mainnet, 84532 for Sepolia)

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?

With no annotations, the description carries the full burden. 'Inspect' implies a non-mutating read and the enumerated fields partially compensate for the missing output schema, but it says nothing about authentication requirements, rate limits, whether results are cached/live, or what happens on an unknown agentId.

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 with no filler; every clause names a distinct returned signal. It is slightly run-on as a comma list, which mildly hurts scannability but wastes no words.

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?

For a 2-parameter read tool with no output schema and no annotations, the description usefully enumerates the returned signals and their 0-100 scale. However it leaves the behavioral contract (safety, auth, error cases) unstated, which is a real gap given zero annotation coverage.

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%, so both agentId (ERC-8004 token ID) and chainId (Base mainnet/Sepolia) are already fully documented in the schema. The description adds only the vague phrase 'on Base', which the schema states more precisely, so 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?

States a specific verb ('Inspect') and enumerates exactly what is read: trust score with its 0-100 range, clearing reliability, Sybil wash-trade penalty flags, and KYA backing. It is clear on its own, but it does not differentiate from the sibling nullclear_verify_kya_mandate, which overlaps on the 'KYA backing' element.

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?

The description gives no when-to-use guidance, no prerequisites, and never mentions the sibling tools (escrow_x402_call, verify_kya_mandate) or when one should be preferred over another. The only implied usage is that this is a read/lookup call.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

This server cannot be deployed

Other Tools