Get dependencies for a specific package
AI agents call get_package_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 is a read-only operation that queries and returns dependency information. It has no side effects, does not execute code or trigger external operations, and does not modify or delete data. The tool fits the 'Read' category as it performs data retrieval similar to a search or fetch operation. Low severity because misuse would only expose information about package structure without enabling destructive actions.
From the tool's definition Tool name 'get_package_dependencies' and description 'Get dependencies for a specific package' indicate a retrieval/query operation that returns information about package dependencies without modifying, executing, or deleting anything.
Documented attack patterns abuse exactly the kind of access get_package_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_package_dependencies:
{
"version": "1",
"default": "deny",
"tools": {
"get_package_dependencies": {}
}
}get_package_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 specific package. 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_package_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_package_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_package_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_package_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_package_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.