Tell Relay to index a transaction it may have missed. Use this when a bridge or swap transaction exists on-chain but doesn
AI agents call index_transaction to retrieve information from Relay MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though index_transaction only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
Tell Relay to index a transaction it may have missed. Use this when a bridge or swap transaction exists on-chain but doesn. It is categorised as a Read tool in the Relay MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Relay MCP Server MCP server in PolicyLayer and add a rule for index_transaction: 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 Relay MCP Server. Nothing to install.
index_transaction is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the index_transaction 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 index_transaction. 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.
index_transaction is provided by the Relay MCP Server MCP server (relayprotocol/relay-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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