Loading ToolBench
Use this server to scan ML model artifacts for risky serialization, embedded pickle payloads, and suspicious packaging.
Server has 6 tools with basic descriptions and parameter schemas, but significant gaps limit production readiness. All tools have descriptions (10-80 chars, mostly adequate), and parameters include type info. However, parameter descriptions are minimal or absent, output schemas are undocumented, and error handling lacks recovery guidance. No tool annotations (readOnlyHint, destructiveHint). Naming is verb-forward but generic ('scan', 'run', 'report'). The server lacks idempotency guarantees, rate limiting, and input validation guidance. Composition is reasonable, tools are single-purpose, but chaining is weak (no IDs returned to enable downstream calls). This is a typical community server with functional but incomplete definitions.
Run the broadest available model artifact safety report.
Show which scanner backends are installed and ready to use.
Run heuristic inspection for risky file types and embedded pickle members.
Run modelscan against a local path or downloadable URL.
Run picklescan against a local path or downloadable URL.
Run artifact_safety_report across every file in a directory and aggregate the findings.
Parameter descriptions missing or minimal. 'path' and 'url' parameters lack guidance on format, constraints, or when to use each. LLMs cannot infer whether to pass a local filesystem path, HTTP URL, or both.
Output schemas undocumented. Tools return ScanResult.to_dict() or dict objects, but LLMs have no visibility into field names, types, or structure. Downstream tool chaining is impossible without trial-and-error.
No tool annotations. Tools lack readOnlyHint, destructiveHint, or idempotentHint. Agents cannot determine if a scan is safe to retry or if it modifies state.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | F | 48 | 2026-07-28+ | v2 |
Error handling lacks recovery guidance. When picklescan or modelscan is not installed, the tool returns a status dict but does not suggest next steps (e.g., 'Install picklescan via pip install picklescan').
Generic tool names reduce clarity. 'scan_directory_tool' and 'artifact_safety_report' are vague about what distinguishes them. 'scan_directory_tool' should be 'scan_directory_for_artifacts' or 'batch_scan_artifacts'.