This record as markdown: /tools/0xyubo-ripple-mcp/get-code-context.md
What get_code_context does on Ripple-MCP
AI agents call get_code_context to retrieve information from Ripple-MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_code_context is rated Low
This tool queries and retrieves code context information to support impact analysis. It performs lookups and retrieval of existing data without creating, modifying, deleting, or executing any operations. The low severity reflects that accessing code context poses minimal risk even if misused by an AI agent—it only reads and displays information relevant to understanding code dependencies.
From the tool's definition Tool name 'get_code_context' and description indicating it retrieves code context to determine if changes affect specific locations.
Attacks that exploit this kind of access
The rule that runs get_code_context safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ripple-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_code_context, this is the rule to start with:
get_code_context is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ripple-MCP, apply this rule, and every get_code_context call is checked against it from then on.
Questions about get_code_context
获取代码上下文,帮助判断命中处是否真正受变更影响。. It is categorised as a Read tool in the Ripple-MCP MCP Server, which means it retrieves data without modifying state.
Register the Ripple MCP server in PolicyLayer and add a rule for get_code_context: 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 Ripple-MCP. Nothing to install.
get_code_context 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_code_context 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_code_context. 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_code_context is provided by the Ripple MCP server (0xyubo/ripple-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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