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solidity-smart-contract-escrow-auditor

discover_verified_stores

[EN] Query ERC-8004 AI store reputation registry and filter out low-trust sellers. | [ES] Consulta el registro ERC-8004 de tiendas IA y filtra por reputación mínima. | [中文] 查询 ERC-8004 AI 商店声誉注册表并过滤低信誉卖家。

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "discover_verified_stores"
  }
}

Input Schema

NameRequiredDescriptionDefault
minReputationNoMinimum ERC-8004 reputation score (0-100). Recommended >= 70.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / minReputation / description
      Previous value: -"Puntaje mínimo de confianza ERC-8004 (0 a 100). Recomendado >= 70."New value: +"Minimum ERC-8004 reputation score (0-100). Recommended >= 70."
  2. First observed

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of describing behavior, but it discloses almost nothing beyond the basic operation. 'Query' implies a read, yet it does not say whether the registry is on-chain, what a result set looks like, whether there is a result limit or pagination, what happens when the minimum reputation matches nothing, or whether the call has cost. The only real behavioral hint is the expected trust threshold.

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

Conciseness3/5

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

The English sentence is front-loaded and wastes no words, which is good. However, the description then repeats identical content in Spanish and Chinese, tripling token cost without adding new information for an agent that reads one language.

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?

This is a simple tool with one optional parameter, and the description covers the core intent adequately. Since there is no output schema, the description should ideally say what the caller receives back (store identities, reputation scores, or a filtered list), and it leaves that and the omitted-parameter default behavior unstated.

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 100%, and the schema already defines minReputation as a 0-100 score with the recommendation of at least 70, so the schema does the heavy lifting. The description only corroborates the filtering semantics with 'filter out low-trust sellers' or 'filtra por reputación mínima' and adds no new detail such as default behavior when the parameter is omitted, even though it is optional.

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?

The description gives a specific verb and resource: it queries the ERC-8004 AI store reputation registry and filters out low-trust sellers. That is unambiguous, but it offers no contrast against the escrow-oriented siblings, so an agent must infer that discovery is a different job from auditing or opening escrow.

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 implied by the phrase 'filter out low-trust sellers' and by the schema note recommending a score of 70 or higher, which suggests a sourcing or eligibility-check use case. There is no explicit statement of when to use this tool, when not to use it, or what alternative to use instead.

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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