Adds a dependency relationship between two codebases.
AI agents use add_codebase_dependency to create or update resources in Python Codebase Analysis RAG System — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Python Codebase Analysis RAG System environment.
This tool creates or modifies a dependency relationship—a data structure linking codebases. It does not execute arbitrary code, delete data irreversibly, or move money. While it modifies system state, the operation is reversible via the remove tool.
From the tool's definition Tool description states it 'Adds a dependency relationship between two codebases,' which is a reversible create/modify operation on metadata. Companion tool 'remove_codebase_dependency' confirms this is reversible.
Attacks that exploit this kind of access
Adds a dependency relationship between two codebases. It is categorised as a Write tool in the Python Codebase Analysis RAG System MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Python Codebase Analysis RAG System MCP server in PolicyLayer and add a rule for add_codebase_dependency: 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 Python Codebase Analysis RAG System. Nothing to install.
add_codebase_dependency 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 add_codebase_dependency 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 add_codebase_dependency. 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.
add_codebase_dependency is provided by the Python Codebase Analysis RAG System MCP server (shervinemp/codebasemcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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