check_freshness

Check if a dataset is current by comparing its update frequency to its last modification date.

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

What check_freshness does on Ontario Data

AI agents call check_freshness 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 check_freshness needs a policy

This tool retrieves and analyzes metadata about a dataset (update frequency and modification date) to provide informational status. It has no side effects, does not modify data, execute code, delete resources, or move money. It is a pure read operation that queries dataset metadata to assess freshness.

From the tool's definition The tool 'check_freshness' performs a comparison operation between a dataset's update frequency and last modification date to determine currency status.

Questions about check_freshness

What does the check_freshness tool do? +

Check if a dataset is current by comparing its update frequency to its last modification date. 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 check_freshness? +

Register the Ontario Data MCP server in PolicyLayer and add a rule for check_freshness: 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 check_freshness? +

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

Can I rate-limit check_freshness? +

Yes. Add a rate_limit block to the check_freshness 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 check_freshness completely? +

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

check_freshness 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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