AI agents use revoke_report_schedule_historical_access to create or update resources in AdButler — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AdButler environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
schedule_id | number | Yes | Schedule ID |
report_config_id | number | Yes | Report configuration ID |
Parameters from the server's own tool schema.
Revoking access is a permission/authorization modification (write operation). It modifies access control settings reversibly (access could presumably be re-granted), so it falls under Write rather than Destructive. Misuse could deny legitimate users access to historical report data, which has a medium blast radius.
From the tool's definition 'Revoke historical access for a report schedule' — removes access rights/permissions for a report schedule
Attacks that exploit this kind of access
Revoke historical access for a report schedule. It is categorised as a Write tool in the AdButler MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
revoke_report_schedule_historical_access accepts 2 parameters: schedule_id, report_config_id. Required: schedule_id, report_config_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 revoke_report_schedule_historical_access: 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.
revoke_report_schedule_historical_access is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the revoke_report_schedule_historical_access 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 revoke_report_schedule_historical_access. 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.
revoke_report_schedule_historical_access 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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