Retrieve a specific policy by ID.
AI agents call get_policy to retrieve information from Okta MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves or queries an existing policy resource by ID without modifying, deleting, or executing any operations. This is a standard Read operation with minimal blast radius; inappropriate use would only expose policy configuration details, not cause irreversible harm or execution of external operations.
From the tool's definition Tool name and description: 'Retrieve a specific policy by ID' — retrieves data with no side effects.
Attacks that exploit this kind of access
Retrieve a specific policy by ID. It is categorised as a Read tool in the Okta MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Okta MCP Server MCP server in PolicyLayer and add a rule for get_policy: 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 Okta MCP Server. Nothing to install.
get_policy 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_policy 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_policy. 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_policy is provided by the Okta MCP Server MCP server (pranav-okta/okta-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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