AI agents call enrich_location to retrieve information from Jiskta without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to retrieve and augment location data using the Jiskta API's various data sources (geocoding, climate, water risk, facility information). This is a data retrieval operation with no modification, deletion, or execution of external code.
From the tool's definition Tool name 'enrich_location' and server context indicate data retrieval/enrichment from Jiskta API (air quality, ERA5 meteorology, water risk, geocoding, industrial facility data).
Attacks that exploit this kind of access
enrich_location. It is categorised as a Read tool in the Jiskta MCP Server, which means it retrieves data without modifying state.
Register the Jiskta MCP server in PolicyLayer and add a rule for enrich_location: 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 Jiskta. Nothing to install.
enrich_location is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the enrich_location 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.
Set action: deny in the PolicyLayer policy for enrich_location. 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.
enrich_location is provided by the Jiskta MCP server (jiskta/jiskta-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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