Loading ToolBench
A comprehensive CLI tool for rapidly creating, configuring, and deploying Model Context Protocol (MCP) servers
ModelContextKit provides 13 tools with mixed quality. While 8 tools have reasonable descriptions (50-150 chars), critical gaps exist: 2 tools (upload_file, download_file) lack visible input schemas entirely, preventing proper parameter validation. Parameter descriptions are inconsistent, most tools lack per-parameter documentation required by pattern:tool-description. No output schemas are documented, violating pattern:response-shaper. Tool composition is weak: api_request is overly generic (combining GET/POST/PUT/PATCH/DELETE into one tool), cloud storage operations lack safety patterns (delete_object has no confirmation mechanism), and SQL execute_query exposes raw SQL without clear injection defense documentation. Error handling is absent from visible code, no recovery guidance, no retryable vs fatal classification. Security concerns: execute_query accepts raw SQL with only parameter binding mentioned (unclear if properly implemented), no evidence of permission gates or audit trails.
Make HTTP request to configured API with authentication and rate limiting
Delete object from cloud storage
Download file from cloud storage to local path
Execute a SQL query safely with parameter binding
Check API health and connectivity
Get detailed information about a cloud storage object
Two tools (upload_file, download_file) have NO visible input schemas. Cannot validate parameters or guide LLM input.
No output schemas documented for any tool. LLMs cannot predict return structure, forcing them to guess at response fields and breaking downstream tool chains.
execute_query accepts raw SQL query with only parameter binding mentioned. No evidence of query timeout, result row limits, or SQL injection defense beyond parameterization. No error guidance for syntax errors, permission denied, or timeouts.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-22 | D | 54 | 2026-07-28+ | v2 |
| 2026-03-09 | F | 0 | - | v1 |
Get the schema information for a specific table
Get statistics for a specific table (row count, size, etc.)
List available API endpoints (if API supports discovery)
List objects in cloud storage bucket with filtering and pagination
List all tables in the database
Upload file to cloud storage with metadata and access control
Validate API authentication and permissions
Destructive tool (delete_object) lacks confirmation/dry-run mechanism. No pre-action review before irreversible deletion.
api_request conflates 5 HTTP methods (GET/POST/PUT/PATCH/DELETE) into one tool. Violates single-responsibility principle. Should split into separate tools (create_api_resource, update_api_resource, delete_api_resource, etc.).
Parameter descriptions missing or insufficient. execute_query's 'parameters' field has no per-key documentation. upload_file/download_file lack all parameter documentation. Violates pattern:tool-description.
No pagination parameters visible for list_* tools (list_endpoints, list_tables, list_objects). No limit or offset params documented. Large result sets could exhaust context window.
No error handling guidance. No recovery hints (e.g., 'Try search_users if exact match fails'). No categorization of retryable vs fatal errors. No actionable error messages documented.
No evidence of security controls: no permission gates, no audit trail documentation, no secret injection pattern. execute_query could be called by unprivileged agents without documented authorization checks.
Cloud storage tools (upload_file, download_file, delete_object) lack documentation on access control options, permission scopes, or user/role filtering.