Return an LLM-generated summary of a long file (>2000 estimated tokens).
AI agents call summarize_file to retrieve information from Scratchpad without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
summarize_file retrieves and processes file content to generate a summary. It does not modify, delete, or execute operations—purely informational. The 'summarize' operation is a read-like action that analyzes existing data without mutation.
From the tool's definition Tool description states it 'Return[s] an LLM-generated summary of a long file', which is a retrieval and analysis operation with no side effects.
Attacks that exploit this kind of access
Return an LLM-generated summary of a long file (>2000 estimated tokens). It is categorised as a Read tool in the Scratchpad MCP Server, which means it retrieves data without modifying state.
Register the Scratchpad MCP server in PolicyLayer and add a rule for summarize_file: 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 Scratchpad. Nothing to install.
summarize_file 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 summarize_file 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 summarize_file. 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.
summarize_file is provided by the Scratchpad MCP server (mikepressure/scratchpad-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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