cronos_audit_progetti
AI agents call cronos_audit_progetti to retrieve information from Mcp Cronos without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Given the absence of a description and the pattern of sibling tools (cronos_leggi_diario, cronos_leggi_todo, cronos_cerca all being read operations), this tool likely retrieves or reviews project audit data. 'Audit' is a read-like operation that examines existing state.
From the tool's definition Tool name 'cronos_audit_progetti' suggests reading/reviewing project audit information. No description provided, but 'audit' typically implies inspection or review of existing data without modification.
Attacks that exploit this kind of access
cronos_audit_progetti. It is categorised as a Read tool in the Mcp Cronos MCP Server, which means it retrieves data without modifying state.
Register the Mcp Cronos MCP server in PolicyLayer and add a rule for cronos_audit_progetti: 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 Cronos. Nothing to install.
cronos_audit_progetti 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 cronos_audit_progetti 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 cronos_audit_progetti. 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.
cronos_audit_progetti is provided by the Mcp Cronos MCP server (mauriziomocci/mcp-cronos). 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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