dependency_graph

Return import/dependency relationships for a module.

SERVERCogniRepo SOURCEpypi:cognirepo
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade A, identity unverified Pull the record →

This record as markdown: /tools/ashlesh-t-cognirepo/dependency-graph.md

What dependency_graph does on CogniRepo

AI agents call dependency_graph to retrieve information from CogniRepo without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why dependency_graph is rated Low

This tool retrieves static analysis data (dependency relationships) from existing code or metadata. It performs a query/lookup operation with no side effects, no code execution, and no data modification. The verb 'Return' confirms it is a read operation. The blast radius if misused is minimal—an agent could at most learn about code structure, which is informational only.

From the tool's definition Tool name 'dependency_graph' and description 'Return import/dependency relationships for a module' indicate a retrieval operation that queries and returns information about module dependencies without modifying or executing anything.

Questions about dependency_graph

What does the dependency_graph tool do? +

Return import/dependency relationships for a module. It is categorised as a Read tool in the CogniRepo MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on dependency_graph? +

Register the CogniRepo MCP server in PolicyLayer and add a rule for dependency_graph: 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 CogniRepo. Nothing to install.

What risk level is dependency_graph? +

dependency_graph is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit dependency_graph? +

Yes. Add a rate_limit block to the dependency_graph 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.

How do I block dependency_graph completely? +

Set action: deny in the PolicyLayer policy for dependency_graph. 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.

What MCP server provides dependency_graph? +

dependency_graph is provided by the CogniRepo MCP server (pypi:cognirepo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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