AI agents call get_dependencies to retrieve information from MCP Code Analysis Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only query of dependency metadata for code entities. It retrieves information about relationships between code components but does not create, modify, delete, or execute anything. The low severity reflects minimal risk from misuse—an agent could only learn about code structure, not cause harm.
From the tool's definition Tool name 'get_dependencies' and description 'Get dependencies for a code entity' indicate a retrieval operation that queries and returns dependency information without modifying any code or data.
Documented attack patterns abuse exactly the kind of access get_dependencies gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Code Analysis Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_dependencies:
{
"version": "1",
"default": "deny",
"tools": {
"get_dependencies": {}
}
}get_dependencies is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get dependencies for a code entity. It is categorised as a Read tool in the MCP Code Analysis Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Code Analysis Server MCP server in PolicyLayer and add a rule for get_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 MCP Code Analysis Server. Nothing to install.
get_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 get_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 get_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.
get_dependencies is provided by the MCP Code Analysis Server MCP server (johannhartmann/mcpcodeanalysis). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Code Analysis Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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44 MCP Code Analysis Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.