// MCP TOOL REFERENCE

GOLDENCHECK TOOLS

19 tools from the GoldenCheck MCP Server, categorised by risk level.

View the GoldenCheck policy → Token cost: 1,623 tokens →

// ALL 19 GOLDENCHECK TOOLS

READ 16 tools

Read analyze_data Analyze a data file to detect its domain, profile columns, and recommend a scanning strategy. Returns domai... Read compare_domains Scan a file with every available domain pack (plus base/no-domain) and compare health scores. Recommends th... Read explain_column Get a natural-language health narrative for a specific column. Scans the file, profiles the column, and exp... Read explain_finding Explain a single finding in natural language. Requires the finding as a JSON dict and the file_path to load... Read get_column_detail Get detailed profile and findings for a specific column. Read get_domain_info Get detailed info about a specific domain pack — lists all semantic types, their name hints, and suppressio... Read health_score Get the health score (A-F, 0-100) for a data file. Quick summary of overall data quality. Read list_checks List all available profiler checks and what they detect. No arguments needed. Read list_domains List all available domain packs (healthcare, finance, ecommerce, etc.). Domain packs provide specialized se... Read pipeline_handoff Generate a structured quality attestation JSON for a data file. Includes health score, findings summary, pi... Read profile Profile a data file and return column-level statistics: type, null%, unique%, min/max, top values, detected... Read review_queue List all pending review items for a given job. Returns items that need human decision (medium-confidence fi... Read review_stats Get review queue statistics for a job — counts of pending, pinned, and dismissed items. Read scan Scan a data file (CSV, Parquet, Excel) for data quality issues. Returns findings with severity, confidence,... Read suggest_fix Preview fixes for a data file without applying them. Shows what would change (columns, fix types, rows affe... Read validate Validate a data file against pinned rules in goldencheck.yml. Returns validation findings (existence, requi...

WRITE 3 tools

Write approve_reject Approve (pin) or reject (dismiss) a review queue item. Decision must be 'pin' or 'dismiss'. Write auto_configure Scan a data file, triage findings by confidence, and generate goldencheck.yml content from the pinned findi... Write install_domain Download a community domain pack from the goldencheck-types repository and save it for use in future scans.

// RUNNING THIS SERVER

The managed route: connect GoldenCheck through the PolicyLayer gateway — every tool call above is checked against your policy before it runs, with a full audit log.

DIRECT INSTALL (UNMANAGED) npx -y pypi:goldencheck

// FAQ

How many tools does the GoldenCheck MCP server have? +

The GoldenCheck MCP server exposes 19 tools across 2 categories: Read, Write.

How do I enforce policies on GoldenCheck tools? +

Route the GoldenCheck server through the PolicyLayer gateway. Define allow, deny, or approval rules per tool in the dashboard — they are enforced on every call before it reaches the server.

What risk categories do GoldenCheck tools fall into? +

GoldenCheck tools are categorised as Read (16), Write (3). Each category has a recommended default policy.

Let agents act without letting them run wild.

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