Autotel — the complete, unedited output of the deterministic mcptrustchecker engine v1.13.0, scanned . Every finding, capability tag and score component below is exactly what the engine produced — no AI, no post-processing.
{
"tool": {
"name": "mcptrustchecker",
"version": "1.13.0",
"methodologyVersion": "mcptrustchecker-1.13"
},
"target": {
"id": "autotel-mcp",
"source": {
"kind": "package",
"origin": "autotel-mcp"
},
"server": {
"name": "autotel-mcp"
}
},
"grade": "A",
"score": {
"score": 97,
"threatScore": 100,
"grade": "A",
"band": "A",
"categorySubtotals": {
"injection": 0,
"exfiltration": 0,
"permissions": 0,
"supply-chain": 0,
"network": 0,
"hygiene": 0
},
"vector": [
{
"kind": "client",
"term": "capability-exposure",
"level": "moderate",
"label": "capability blast radius (moderate) — client exposure if the model is manipulated",
"appliedPenalty": 3
},
{
"kind": "client",
"term": "verification-discount",
"level": "source",
"label": "publisher verification (provenance) — cryptographic build provenance ties the artifact to its source",
"appliedPenalty": 0
},
{
"kind": "client",
"term": "coverage-honesty",
"level": "source",
"label": "inspection depth (source) — how much of the target the scan could see",
"appliedPenalty": 0
}
],
"gatesFired": [],
"methodologyVersion": "mcptrustchecker-1.13"
},
"capability": {
"level": "moderate",
"reasons": [
"ingests untrusted external content (a prompt-injection entry point)"
],
"tags": [
"untrusted-input"
]
},
"coverage": {
"level": "source",
"inputs": {
"toolSurface": true,
"implementationSource": true,
"packageMetadata": true,
"liveTransport": false
},
"caveats": [
"Tools were statically extracted from the published source (43 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command \"npx -y <package>\"."
]
},
"findings": [],
"toxicFlows": [],
"capabilities": [
{
"tool": "backend_health",
"tags": [],
"reasons": {}
},
{
"tool": "backend_capabilities",
"tags": [],
"reasons": {}
},
{
"tool": "list_capabilities",
"tags": [],
"reasons": {}
},
{
"tool": "search_traces",
"tags": [],
"reasons": {}
},
{
"tool": "search_spans",
"tags": [],
"reasons": {}
},
{
"tool": "get_trace",
"tags": [],
"reasons": {}
},
{
"tool": "summarize_trace",
"tags": [],
"reasons": {}
},
{
"tool": "list_services",
"tags": [],
"reasons": {}
},
{
"tool": "list_operations",
"tags": [],
"reasons": {}
},
{
"tool": "service_map",
"tags": [],
"reasons": {}
},
{
"tool": "discover_services",
"tags": [],
"reasons": {}
},
{
"tool": "discover_trace_fields",
"tags": [],
"reasons": {}
},
{
"tool": "discover_log_fields",
"tags": [],
"reasons": {}
},
{
"tool": "get_llm_usage",
"tags": [],
"reasons": {}
},
{
"tool": "list_llm_models",
"tags": [],
"reasons": {}
},
{
"tool": "get_llm_model_stats",
"tags": [],
"reasons": {}
},
{
"tool": "get_llm_expensive_traces",
"tags": [],
"reasons": {}
},
{
"tool": "get_llm_slow_traces",
"tags": [],
"reasons": {}
},
{
"tool": "list_llm_tools",
"tags": [],
"reasons": {}
},
{
"tool": "list_metrics",
"tags": [],
"reasons": {}
},
{
"tool": "search_logs",
"tags": [],
"reasons": {}
},
{
"tool": "validate_collector_config",
"tags": [],
"reasons": {}
},
{
"tool": "suggest_collector_config",
"tags": [],
"reasons": {}
},
{
"tool": "explain_collector_config",
"tags": [],
"reasons": {}
},
{
"tool": "collector_get_versions",
"tags": [],
"reasons": {}
},
{
"tool": "collector_list_components",
"tags": [],
"reasons": {}
},
{
"tool": "collector_component_schema",
"tags": [],
"reasons": {}
},
{
"tool": "collector_component_readme",
"tags": [],
"reasons": {}
},
{
"tool": "collector_validate_component_config",
"tags": [],
"reasons": {}
},
{
"tool": "collector_refresh_catalog",
"tags": [],
"reasons": {}
},
{
"tool": "score_span_instrumentation",
"tags": [],
"reasons": {}
},
{
"tool": "explain_instrumentation_score",
"tags": [],
"reasons": {}
},
{
"tool": "find_anomalies",
"tags": [],
"reasons": {}
},
{
"tool": "find_root_cause",
"tags": [],
"reasons": {}
},
{
"tool": "find_repeated_queries",
"tags": [],
"reasons": {}
},
{
"tool": "find_errors",
"tags": [],
"reasons": {}
},
{
"tool": "check_slos",
"tags": [],
"reasons": {}
},
{
"tool": "correlate",
"tags": [],
"reasons": {}
},
{
"tool": "explain_slowdown",
"tags": [],
"reasons": {}
},
{
"tool": "semconv_list_namespaces",
"tags": [],
"reasons": {}
},
{
"tool": "semconv_get_namespace",
"tags": [],
"reasons": {}
},
{
"tool": "semconv_refresh_cache",
"tags": [
"untrusted-input"
],
"reasons": {
"untrusted-input": [
"keyword \"fetch\""
]
}
},
{
"tool": "estimate_telemetry_cost",
"tags": [],
"reasons": {}
}
],
"surfaceDigest": "f59568d58fd87ee473e0fe9c22fc7a7c9797431c83aab9f7dab11cbd6f1cbd46",
"stats": {
"tools": 43,
"prompts": 0,
"resources": 0,
"findingsBySeverity": {
"critical": 0,
"high": 0,
"medium": 0,
"low": 0,
"info": 0
}
}
}