Retrieves detailed information for a specific code element in the active codebase.
AI agents call get_details to retrieve information from Python Codebase Analysis RAG System without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns information about code elements without modifying, executing, or deleting anything. It has no side effects beyond data retrieval. The blast radius of misuse is minimal—an attacker could learn about codebase structure but cannot alter code, execute operations, or cause destructive changes. Therefore, it is categorized as Read with low severity.
From the tool's definition Tool description states it 'Retrieves detailed information for a specific code element in the active codebase.' The verb 'retrieves' and the lack of any modification, execution, deletion, or financial operations indicate this is a read-only operation.
Attacks that exploit this kind of access
Retrieves detailed information for a specific code element in the active codebase. It is categorised as a Read tool in the Python Codebase Analysis RAG System MCP Server, which means it retrieves data without modifying state.
Register the Python Codebase Analysis RAG System MCP server in PolicyLayer and add a rule for get_details: 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.
get_details 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_details 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_details. 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_details 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.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
Teams ship this data inside their own products. See what a licence covers →