validate_result

validate_result

Server Ontario Data sprine/ontario-data-mcp
Category Read
Risk class Low
Parameters 00 required

What validate_result does on Ontario Data

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

Why validate_result needs a policy

The tool name implies inspection or verification rather than modification, creation, or execution. The empty description reduces confidence, but the sibling tools (get_dataset_info, get_resource_schema, compare_datasets) are predominantly Read operations, suggesting validate_result follows the same pattern. Validation typically does not modify data.

From the tool's definition Tool name 'validate_result' suggests verification of query outcomes. No description provided. Based on context within an analytics/querying MCP server (DuckDB, dataset analysis), this likely performs read-only validation checks against existing results.

Questions about validate_result

What does the validate_result tool do? +

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

How do I enforce a policy on validate_result? +

Register the Ontario Data MCP server in PolicyLayer and add a rule for validate_result: 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 Ontario Data. Nothing to install.

What risk level is validate_result? +

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

Can I rate-limit validate_result? +

Yes. Add a rate_limit block to the validate_result 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_result completely? +

Set action: deny in the PolicyLayer policy for validate_result. 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_result? +

validate_result is provided by the Ontario Data MCP server (sprine/ontario-data-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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