validate_extraction_schema

validate_extraction_schema

Server BigContext MCP rixmerz/bigcontext_mcp
Category Read
Risk class Low
Parameters 00 required

What validate_extraction_schema does on BigContext MCP

AI agents call validate_extraction_schema to retrieve information from BigContext MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why validate_extraction_schema needs a policy

The tool name indicates a validation/checking operation on an extraction schema, which implies reading and verifying document structures or extracted data. No indication of creation, modification, deletion, or execution of external operations. However, confidence is reduced to 0.6 due to the empty description, which prevents full certainty about the tool's actual behavior and side effects.

From the tool's definition Tool name is 'validate_extraction_schema' with empty description. 'Validate' suggests checking or validating data structures without modification.

Questions about validate_extraction_schema

What does the validate_extraction_schema tool do? +

validate_extraction_schema. It is categorised as a Read tool in the BigContext MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on validate_extraction_schema? +

Register the BigContext MCP server in PolicyLayer and add a rule for validate_extraction_schema: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches BigContext MCP. Nothing to install.

What risk level is validate_extraction_schema? +

validate_extraction_schema is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit validate_extraction_schema? +

Yes. Add a rate_limit block to the validate_extraction_schema rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block validate_extraction_schema completely? +

Set action: deny in the PolicyLayer policy for validate_extraction_schema. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides validate_extraction_schema? +

validate_extraction_schema is provided by the BigContext MCP server (rixmerz/bigcontext_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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