AI agents call get_categories to retrieve information from Rize without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and reports time analytics data with no side effects. It is a straightforward read operation that queries existing time tracking information grouped by categories over a specified period. There is no data modification, deletion, execution of external commands, or financial impact involved.
From the tool's definition Tool name 'get_categories' and description 'Get time spent by category within a time range' indicate a query operation that retrieves aggregated time tracking data without modifying, deleting, or executing any operations.
Attacks that exploit this kind of access
Get time spent by category within a time range. It is categorised as a Read tool in the Rize MCP Server, which means it retrieves data without modifying state.
Register the Rize MCP server in PolicyLayer and add a rule for get_categories: 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 Rize. Nothing to install.
get_categories 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 get_categories 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 get_categories. 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.
get_categories is provided by the Rize MCP server (rize-io/mcp-server). 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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