AI agents call run_report to retrieve information from Tickiti without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Running a report is fundamentally a read/query operation that retrieves and aggregates data for analysis. It does not create, modify, or delete data. However, it requires admin privileges and a paid plan, suggesting it has access to potentially sensitive organizational data, warranting a medium severity.
From the tool's definition 'Run a Tickiti analytics report' — reporting/analytics implies data retrieval and aggregation
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
Run a Tickiti analytics report (requires the reports plan + admin). It is categorised as a Read tool in the Tickiti MCP Server, which means it retrieves data without modifying state.
Register the Tickiti MCP server in PolicyLayer and add a rule for run_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 Tickiti. Nothing to install.
run_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 run_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 run_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.
run_report is provided by the Tickiti MCP server (tickiti/tickiti-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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