AI agents use insert_record to create or update resources in Test — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Test environment.
This tool creates new data in a database, which is a reversible write operation. It does not execute arbitrary code, delete data, or move money. Severity is medium because unauthorized inserts could corrupt data integrity or lead to inconsistent database state, but the operation is reversible through updates or deletes.
From the tool's definition Tool name is 'insert_record' and description states 'Insert a new record into the database,' which explicitly describes creating new data in a database.
Attacks that exploit this kind of access
Insert a new record into the database. It is categorised as a Write tool in the Test MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Test MCP server in PolicyLayer and add a rule for insert_record: 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 Test. Nothing to install.
insert_record 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 insert_record 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 insert_record. 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.
insert_record is provided by the Test MCP server (sampsonky/mcp-vulnerable-server-demo). 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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