This record as markdown: /tools/io-github-dave-london-cargo/redis-ping.md
What redis-ping does on Cargo
AI agents invoke redis-ping to trigger actions in Cargo. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why redis-ping is rated High
The tool sends a PING command to a Redis server, which is an active network operation that triggers an external operation (contacting a Redis instance). While it's essentially a read/connectivity check with no data modification, it executes an external command against a remote service. Severity is low because PING has no side effects and cannot modify or destroy data.
From the tool's definition Tests Redis connectivity by sending a PING command
Attacks that exploit this kind of access
The rule that runs redis-ping safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Cargo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For redis-ping, this is the rule to start with:
redis-ping stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Cargo, apply this rule, and every redis-ping call is checked against it from then on.
Questions about redis-ping
Tests Redis connectivity by sending a PING command. It is categorised as a Execute tool in the Cargo MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Cargo MCP server in PolicyLayer and add a rule for redis-ping: 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 Cargo. Nothing to install.
redis-ping is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the redis-ping 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 redis-ping. 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.
redis-ping is provided by the Cargo MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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