// MCP TOOL REFERENCE

STRUCTURED DATA VALIDATOR TOOLS

5 tools from the Structured Data Validator MCP Server, categorised by risk level.

View the Structured Data Validator policy →

READ TOOLS

normalize_data Standardize common data formats like dates, phone numbers, currencies, and addresses. Essential for agents processing user input or scraped data wi... validate_json_schema Validate JSON data against a schema with detailed error reporting. Perfect for agents receiving API responses or user data that needs validation be...

WRITE TOOLS

merge_datasets Merge multiple JSON datasets with deduplication and conflict resolution. Handles overlapping data intelligently, perfect for agents combining data ... 2/5

DESTRUCTIVE TOOLS

clean_text Remove HTML tags, fix encoding issues, normalize whitespace, and extract clean text from messy input. Perfect for agents processing scraped web con... 4/5

EXECUTE TOOLS

transform_csv_to_json Convert CSV data to structured JSON with intelligent type inference. Handles messy CSV data, auto-detects delimiters, infers data types (numbers, d... 3/5

// FAQ

How many tools does the Structured Data Validator MCP server have? +

The Structured Data Validator MCP server exposes 5 tools across 4 categories: Read, Write, Destructive, Execute.

How do I enforce policies on Structured Data Validator tools? +

Use Intercept, the open-source MCP proxy. Write YAML rules for each tool — rate limits, argument validation, or deny rules — then run Intercept in front of the Structured Data Validator server.

What risk categories do Structured Data Validator tools fall into? +

Structured Data Validator tools are categorised as Read (2), Write (1), Destructive (1), Execute (1). Each category has a recommended default policy.

Enforce policies on Structured Data Validator

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept

github.com/policylayer/intercept →