Fetch comprehensive visibility report for a tracked query
AI agents call fetch_visibility_report to retrieve information from MCP Starter for Puch AI without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves a visibility report for an existing tracked query. It performs no data modification, deletion, execution of external code, or financial operations. The worst-case misuse would be unauthorized access to visibility metrics, which is a low-severity information disclosure risk with limited blast radius.
From the tool's definition Tool name 'fetch_visibility_report' and description 'Fetch comprehensive visibility report for a tracked query' indicate data retrieval without modification. The verb 'fetch' and 'report' are characteristic of Read operations that query and return information.
Attacks that exploit this kind of access
Fetch comprehensive visibility report for a tracked query. It is categorised as a Read tool in the MCP Starter for Puch AI MCP Server, which means it retrieves data without modifying state.
Register the MCP Starter for Puch AI MCP server in PolicyLayer and add a rule for fetch_visibility_report: 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 MCP Starter for Puch AI. Nothing to install.
fetch_visibility_report 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 fetch_visibility_report 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 fetch_visibility_report. 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.
fetch_visibility_report is provided by the MCP Starter for Puch AI MCP server (kulraj69/mcp-llm). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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