AI agents call read_project_file to retrieve information from Task Trellis MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves file contents from a project without creating, modifying, deleting, or executing anything. It is a straightforward read operation with minimal risk even if misused by an AI agent, as it only exposes existing project file data.
From the tool's definition Tool name is 'read_project_file' and description states it 'Reads a UTF-8 text file from the project'. The verb 'reads' and the lack of any modification language clearly indicate data retrieval with no side effects.
Documented attack patterns abuse exactly the kind of access read_project_file gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Task Trellis MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for read_project_file:
{
"version": "1",
"default": "deny",
"tools": {
"read_project_file": {}
}
}read_project_file is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Reads a UTF-8 text file from the project. It is categorised as a Read tool in the Task Trellis MCP MCP Server, which means it retrieves data without modifying state.
Register the Task Trellis MCP server in PolicyLayer and add a rule for read_project_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 Task Trellis MCP. Nothing to install.
read_project_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_project_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_project_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_project_file is provided by the Task Trellis MCP server (langadventurellc/task-trellis-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Task Trellis MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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16 Task Trellis MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.