This record as markdown: /tools/eda-agent/app-ping.md
What app_ping does on Eda Agent
AI agents use app_ping to create or update resources in Eda Agent, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Eda Agent environment.
Why app_ping is rated Medium
An AI agent can call app_ping faster than any human can review: one bad instruction and it creates or modifies resources in Eda Agent by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs app_ping safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Eda Agent, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For app_ping, this is the rule to start with:
app_ping stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Eda Agent, apply this rule, and every app_ping call is checked against it from then on.
Questions about app_ping
app_ping is a write tool on the Eda Agent MCP server. It is categorised as a Write tool in the Eda Agent MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Eda Agent MCP server in PolicyLayer and add a rule for app_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 Eda Agent. Nothing to install.
app_ping 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 app_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 app_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.
app_ping is provided by the Eda Agent MCP server (salitronic/eda-agent). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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