AI agents call read_file to retrieve information from Overleaf without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a straightforward read operation on file contents with no capability to modify, delete, or execute code. It is a simple data retrieval function that presents minimal risk even if misused by an agent, as the worst outcome would be unauthorized information disclosure rather than system compromise or data loss.
From the tool's definition Tool name is 'read_file' and description states it 'Reads the contents of a file by project-relative path.' The verb 'reads' and lack of any modification capability clearly indicate data retrieval with no side effects.
Attacks that exploit this kind of access
Reads the contents of a file by project-relative path. It is categorised as a Read tool in the Overleaf MCP Server, which means it retrieves data without modifying state.
Register the Overleaf MCP server in PolicyLayer and add a rule for read_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 Overleaf. Nothing to install.
read_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 read_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 read_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.
read_file is provided by the Overleaf MCP server (netique/overleaf-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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