AI agents call get_user_db to retrieve information from AdButler without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
id | number | Yes | User database ID |
Parameters from the server's own tool schema.
This tool retrieves user database details by ID, which is a read-only query operation. It has no capacity to modify, delete, or execute actions. The severity is low because it simply returns data about a resource without causing changes or side effects. Confidence is high due to clear read-only semantics in both name and description.
From the tool's definition Tool name 'get_user_db' and description 'Get details of a specific user database by ID' indicate a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Get details of a specific user database by ID. It is categorised as a Read tool in the AdButler MCP Server, which means it retrieves data without modifying state.
get_user_db accepts 1 parameter: id. Required: id. The full parameter table on this page comes from the server's own tool schema.
Register the AdButler MCP server in PolicyLayer and add a rule for get_user_db: 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 AdButler. Nothing to install.
get_user_db 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_user_db 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_user_db. 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_user_db is provided by the AdButler MCP server (adbutler/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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