read_receipts

Return every receipt plus whether the hash chain is intact (tamper-evident).

Server Pypi:mcp Agent Gate Jott2121/agent-gate
Category Read
Risk class Low
Parameters 00 required

What read_receipts does on Pypi:mcp Agent Gate

AI agents call read_receipts to retrieve information from Pypi:mcp Agent Gate without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why read_receipts needs a policy

This tool retrieves and queries existing receipt data and validates their integrity via hash chain verification. It performs no write, delete, execute, or financial operations. The action is purely informational (reading receipts and checking their tamper-evidence status). Severity is low because retrieving audit records poses minimal risk even if misused by an agent.

From the tool's definition Tool name is 'read_receipts' and description states 'Return every receipt plus whether the hash chain is intact' — uses 'return' indicating data retrieval with no modification or side effects.

Risk signalsBulk/mass operation — affects multiple targets

Questions about read_receipts

What does the read_receipts tool do? +

Return every receipt plus whether the hash chain is intact (tamper-evident). It is categorised as a Read tool in the Pypi:mcp Agent Gate MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on read_receipts? +

Register the Pypi:mcp Agent Gate MCP server in PolicyLayer and add a rule for read_receipts: 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 Pypi:mcp Agent Gate. Nothing to install.

What risk level is read_receipts? +

read_receipts is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit read_receipts? +

Yes. Add a rate_limit block to the read_receipts 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.

How do I block read_receipts completely? +

Set action: deny in the PolicyLayer policy for read_receipts. 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.

What MCP server provides read_receipts? +

read_receipts is provided by the Pypi:mcp Agent Gate MCP server (Jott2121/agent-gate). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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