Create or update an approval rule for an object. Use block_targets to choose what waits for approval, for example document_download, delivery_send, status_sent, export, or convert.
AI agents use upsert_approval_rule to create or update resources in Sanka MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Sanka MCP Server environment.
This is a Write operation because it creates or updates (upserts) approval rules—reversible configuration changes. It does not execute arbitrary code, delete data, or move money. However, the medium severity reflects that misconfigured approval rules could disrupt business workflows or inadvertently block critical operations if an AI agent applies inappropriate block_targets like document_download or delivery_send.
From the tool's definition Tool name 'upsert_approval_rule' and description 'Create or update an approval rule' indicate reversible data modification. The tool modifies workflow configuration by creating or updating approval rules that govern how documents and actions are processed.
Attacks that exploit this kind of access
Create or update an approval rule for an object. Use block_targets to choose what waits for approval, for example document_download, delivery_send, status_sent, export, or convert. It is categorised as a Write tool in the Sanka MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Sanka MCP Server MCP server in PolicyLayer and add a rule for upsert_approval_rule: 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 Sanka MCP Server. Nothing to install.
upsert_approval_rule 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 upsert_approval_rule 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 upsert_approval_rule. 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.
upsert_approval_rule is provided by the Sanka MCP Server MCP server (sankahq/sanka-mcp). 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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