Summarize project type, file counts, extensions, and total scanned size.
AI agents call mcp_summarize_project to retrieve information from Local Code without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only reads and aggregates metadata about a project (file counts, extensions, size) without modifying, executing, or deleting anything. It is a pure read/query operation with minimal blast radius.
From the tool's definition Summarize project type, file counts, extensions, and total scanned size
Attacks that exploit this kind of access
Summarize project type, file counts, extensions, and total scanned size. It is categorised as a Read tool in the Local Code MCP Server, which means it retrieves data without modifying state.
Register the Local Code MCP server in PolicyLayer and add a rule for mcp_summarize_project: 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 Local Code. Nothing to install.
mcp_summarize_project 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 mcp_summarize_project 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 mcp_summarize_project. 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.
mcp_summarize_project is provided by the Local Code MCP server (js190-prog/local-code-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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