Generate a spending summary report. Groups transactions by category, payee, or month.
AI agents call crow_actual_reports to retrieve information from Crow without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and summarizes existing financial transaction data without creating, modifying, deleting, or executing any actions. It performs read-only analysis and reporting, which is characteristic of the Read category. While the data concerns finances, the tool itself does not move money, commit financial obligations, or have financial side effects—it merely reports on historical transactions.
From the tool's definition Tool description states 'Generate a spending summary report' and 'Groups transactions by category, payee, or month' — purely a data retrieval and aggregation operation with no modification, deletion, or execution of commands.
Documented attack patterns abuse exactly the kind of access crow_actual_reports gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Crow, and nothing reaches the server without passing your rules. This is the rule we recommend for crow_actual_reports:
{
"version": "1",
"default": "deny",
"tools": {
"crow_actual_reports": {}
}
}crow_actual_reports is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Generate a spending summary report. Groups transactions by category, payee, or month. It is categorised as a Read tool in the Crow MCP Server, which means it retrieves data without modifying state.
Register the Crow MCP server in PolicyLayer and add a rule for crow_actual_reports: 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 Crow. Nothing to install.
crow_actual_reports 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 crow_actual_reports 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 crow_actual_reports. 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.
crow_actual_reports is provided by the Crow MCP server (kh0pper/crow). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Crow, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
576 Crow tools catalogued and risk-classified — across an index of 43,000+ MCP servers.