AI agents use save_query_preset to create or update resources in Tick — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Tick environment.
This tool creates or stores a new query preset for later reuse. Saving a preset is a reversible write operation—the preset can be updated or deleted. It does not execute queries, delete data irreversibly, or move money.
From the tool's definition The tool is named 'save_query_preset' and described as 'Save a reusable query preset.' The verb 'save' indicates data creation or modification, and 'preset' suggests persistent storage of configuration or query parameters.
Attacks that exploit this kind of access
Save a reusable query preset. It is categorised as a Write tool in the Tick MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Tick MCP server in PolicyLayer and add a rule for save_query_preset: 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 Tick. Nothing to install.
save_query_preset 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 save_query_preset 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 save_query_preset. 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.
save_query_preset is provided by the Tick MCP server (kpihx/tick-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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