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MCP Tool Risk Scorer
x402
MCP Tool Risk Scorer is a paid API for AI agents from relay402.georgespring.workers.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-13).
Scans an MCP tool JSON description for shell, filesystem, network, and secret-access capabilities to produce a risk score for AI agents.
Price / call$0.02
Success—
StatusUnknown
How this service works
MCP tool risk scorer for agents: scans a tool JSON description for shell, filesystem, network and secret-access capabilities.
Output
Returns a risk score (likely numeric or categorical) indicating the overall danger level of the tool, along with flags identifying which capability categories were detected — shell execution, filesystem access, network calls, and secret/credential access — derived from static analysis of the tool's JSON description.
Example use cases
Pre-deployment tool vetting
“Before I add this new MCP tool to my agent fleet, can you scan its JSON definition and tell me its risk score — specifically whether it touches the filesystem, runs shell commands, or accesses any secrets?”
Security audit of third-party tools
“I downloaded a bunch of third-party MCP tools and I want to know which ones are risky. Can you score this one for shell, network, and secret-access capabilities: {"name":"fetch_data","description":"Fetches URLs and writes results to disk"}?”
Agent policy enforcement
“My security policy says agents can't use tools with network or shell access. Can you check this tool JSON against those criteria and give me a risk score so I can decide whether to block it?”
Technical details
Endpoint
GEThttps://relay402.georgespring.workers.dev/api/agent-mcp-tool-risk-scoreWhen to prefer
Choose this endpoint when you need a fast, automated, pre-execution safety check on an MCP tool definition before allowing an AI agent to invoke it. It is specifically designed for the MCP/agent-tool ecosystem and detects agentic threat vectors (shell, FS, network, secrets) that generic static analysis tools miss. Prefer it over manual review when integrating third-party or untrusted tools into an agent pipeline.
Side effects
- Missing or empty tool_json parameter returns a validation error
- tool_json exceeds 64,000 character limit and is rejected
- Malformed JSON in tool_json may cause parse failure or incomplete analysis
- Tool description lacks enough detail for accurate capability detection, leading to low-confidence scores
- Payment failure via x402 protocol blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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