app_list_checkpoints
List saved checkpoints for the current workspace, newest first.
This record as markdown: /tools/eda-agent/app-list-checkpoints.md
What app_list_checkpoints does on Eda Agent
AI agents call app_list_checkpoints to retrieve information from Eda Agent without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why app_list_checkpoints is rated Low
Tool retrieves checkpoint metadata without modifying state or triggering side effects.
From the tool's definition List saved checkpoints for the current workspace, newest first.
Attacks that exploit this kind of access
The rule that runs app_list_checkpoints 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_list_checkpoints, this is the rule to start with:
app_list_checkpoints is read-only, so it stays allowed. 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_list_checkpoints call is checked against it from then on.
Questions about app_list_checkpoints
List saved checkpoints for the current workspace, newest first. It is categorised as a Read tool in the Eda Agent MCP Server, which means it retrieves data without modifying state.
Register the Eda Agent MCP server in PolicyLayer and add a rule for app_list_checkpoints: 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_list_checkpoints 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 app_list_checkpoints 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_list_checkpoints. 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_list_checkpoints 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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