ToolTrust
A2/100
Smithery

larrybuildsai-resultrail

mcpsmithery

@Smithery

ResultRail by LarryBuildsAI sells pay-per-success public-data result packs for AI agents. It returns source URLs, confidence, timestamps, and receipt hashes for domain enrichment, URL extraction, and single-result lookup workflows. Use it when an agent needs one useful public-data result with a clear stop condition.

By Smithery | 7 findings | Scanned 7/17/2026 | tooltrust-scanner/v0.3.19

2 Low5 Info

Risk Summary

Safe With Normal Controls

Dep Visibility is the main signal, but overall risk remains within an acceptable range.

Potential impact: This finding indicates the tool should be reviewed before it is trusted.

Recommended action: No high-risk findings were detected in this scan, but you should still apply least-privilege defaults and rescan after changes.

Suggested policy: keep this tool behind manual approval, do not allow unattended runs, and re-scan after narrowing risky permissions.

Security Findings (7)

  • LowAS-011

    ℹ️Missing Rate-Limit / Timeout ×2

    tool performs network or execution operations but declares no rate-limit, timeout, or retry configuration

    enrich_domain_resultextract_url_result

    Fix: Declare explicit rate-limit, timeout, and retry configuration for all network and execution tools. Implement exponential back-off and surface resource state to the calling agent.

  • InfoAS-014

    ℹ️Dependency Inventory Unavailable ×3

    Tool did not expose metadata.dependencies or repo_url, so supply-chain coverage is limited.

    quote_data_resultenrich_domain_resultextract_url_result

    Fix: Review and remediate the identified issue.

  • InfoAS-002

    ⚠️Excessive Permissions ×2

    declared capabilities: network access

    enrich_domain_resultextract_url_result

    Fix: Tool requests broad permissions (exec/fs/network). Validate input parameters using Enums where possible, and restrict file system operations to explicit allowed directories.

Scan this tool yourself

Reproduce this audit locally, integrate into CI, or let your agent audit its own tools.

Install once, then scan any MCP server:

$ curl -sfL https://raw.githubusercontent.com/AgentSafe-AI/tooltrust-scanner/main/install.sh | bash
$ tooltrust-scanner scan --server "npx -y larrybuildsai-resultrail"

Adjust the package name if your npm registry name differs from the tool ID. View source

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