AI agents use submit_application to create or update resources in Crosswalk — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Crosswalk environment.
This tool changes application status from draft/pending to submitted, which is a reversible write operation (the application state can theoretically be reset or modified later, unlike a destructive delete).
From the tool's definition submit_application marks an application as submitted, indicating a state change in the application workflow. The description fragment shows this creates or modifies application state records.
Attacks that exploit this kind of access
Mark an application as submitted (after the user clicks. It is categorised as a Write tool in the Crosswalk MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Crosswalk MCP server in PolicyLayer and add a rule for submit_application: 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 Crosswalk. Nothing to install.
submit_application 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 submit_application 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 submit_application. 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.
submit_application is provided by the Crosswalk MCP server (mohakgarg5/crosswalk-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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