AI agents use submit_offer to create or update resources in Kwork — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kwork environment.
Submitting an offer on a freelance marketplace creates a binding or semi-binding commitment to provide services at specified terms. This is a Write operation (creates reversible marketplace data), but severity is high because misuse could result in unintended financial commitments, reputational damage, or resource obligations.
From the tool's definition Tool name 'submit_offer' combined with server description indicating it 'submit offers' on a freelance marketplace. Sibling tools include 'delete_offer' and 'edit_offer', confirming this modifies marketplace state.
Attacks that exploit this kind of access
submit_offer. It is categorised as a Write tool in the Kwork MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Kwork MCP server in PolicyLayer and add a rule for submit_offer: 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 Kwork. Nothing to install.
submit_offer 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_offer 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_offer. 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_offer is provided by the Kwork MCP server (simonether/kwork-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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