STEP 1 for clients without sampling: Extract git/code data and return a formatted prompt for an LLM to analyze. Copy the returned prompt to your LLM to get the analysis JSON.
AI agents call prepare_analysis_prompt to retrieve information from Git Commit Video Walkthrough Generator without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and structures information from git repositories and codebases to prepare input for downstream LLM analysis. It does not modify, delete, execute commands, or create financial obligations. The operation is reversible and read-only, making it a Read category tool with low severity since it merely formats existing data without triggering external actions or code execution.
From the tool's definition Tool explicitly described as extracting git/code data and formatting a prompt for analysis—a retrieval operation with no side effects. Terms like 'extract' and 'return a formatted prompt' indicate read-only operations on existing git/code repositories.
Attacks that exploit this kind of access
STEP 1 for clients without sampling: Extract git/code data and return a formatted prompt for an LLM to analyze. Copy the returned prompt to your LLM to get the analysis JSON. It is categorised as a Read tool in the Git Commit Video Walkthrough Generator MCP Server, which means it retrieves data without modifying state.
Register the Git Commit Video Walkthrough Generator MCP server in PolicyLayer and add a rule for prepare_analysis_prompt: 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 Git Commit Video Walkthrough Generator. Nothing to install.
prepare_analysis_prompt 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 prepare_analysis_prompt 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 prepare_analysis_prompt. 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.
prepare_analysis_prompt is provided by the Git Commit Video Walkthrough Generator MCP server (tomatitito/code-walkthrough-mcp). 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.
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