Append a routing rule to a mock endpoint. Rules are matched in priority order; the first match wins. After adding rules, call deploy_mock to publish them.
AI agents use add_mock_rule to create or update resources in RequestBin MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your RequestBin MCP Server environment.
This tool creates or appends new routing rules to an existing mock endpoint. While the modification is reversible (rules can presumably be deleted or replaced later), it directly alters mock endpoint behavior and state. This is a Write operation rather than Execute because the tool itself does not run code or trigger external effects; it configures infrastructure that will later determine behavior.
From the tool's definition Tool description states 'Append a routing rule to a mock endpoint' — this is a create/add operation that modifies mock endpoint configuration. The description explicitly references calling deploy_mock afterward, indicating this persists configuration changes.
Attacks that exploit this kind of access
Append a routing rule to a mock endpoint. Rules are matched in priority order; the first match wins. After adding rules, call deploy_mock to publish them. It is categorised as a Write tool in the RequestBin MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the RequestBin MCP Server MCP server in PolicyLayer and add a rule for add_mock_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 RequestBin MCP Server. Nothing to install.
add_mock_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 add_mock_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 add_mock_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.
add_mock_rule is provided by the RequestBin MCP Server MCP server (requestbin/mcp-server). 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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