AI agents call list_dependencies to retrieve information from Omniplan without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool appears to retrieve or enumerate existing project dependencies without altering them. It follows the Read category pattern of querying data with no side effects. The empty description reduces confidence slightly, but the semantic meaning of 'list' as a retrieval operation is clear.
From the tool's definition Tool name 'list_dependencies' indicates a retrieval operation. The verb 'list' is a classic Read operation that queries existing data without modification.
Attacks that exploit this kind of access
list_dependencies. It is categorised as a Read tool in the Omniplan MCP Server, which means it retrieves data without modifying state.
Register the Omniplan MCP server in PolicyLayer and add a rule for list_dependencies: 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 Omniplan. Nothing to install.
list_dependencies 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 list_dependencies 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 list_dependencies. 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.
list_dependencies is provided by the Omniplan MCP server (johntrandall/omniplan-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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