instruction_tool

THE RISK

Low Risk

Why instruction_tool needs a policy

The tool generates instructional text/guidance for a given task. It reads/processes input and returns a textual step-by-step guide. No data is modified, deleted, executed, or financial transactions occur. This is a pure read/query-type operation with minimal blast radius.

From the tool's definition 'Provide a step-by-step guide to accomplish a given task' — purely informational output with no side effects

Documented attack patterns abuse exactly the kind of access instruction_tool gives an agent:

POLICY

How to control instruction_tool

PolicyLayer is an MCP gateway — it sits between your AI agents and FastMCP Boilerplate, and nothing reaches the server without passing your rules. This is the rule we recommend for instruction_tool:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "instruction_tool": {}
  }
}

instruction_tool is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register FastMCP Boilerplate — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More FastMCP Boilerplate tools

Execute complete_text_tool Complete a partial sentence or paragraph with a coherent continuation. Execute fix_code_tool Fix and refactor provided code. Execute generate_code Generate source code in the specified language based on a prompt. Write generate_function_docstring_tool Generate a clear and informative docstring for the given function. Write paraphrase_tool Rephrase a given text to sound more formal or fluent. Write write_tests_tool Generate unit tests for the given code. Read analyze_structure Analyze the structure of a repository to count files and make structure suggestions. Read ask_question_tool Answer a natural language question using the AI model.

All 16 FastMCP Boilerplate tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about instruction_tool

What does the instruction_tool tool do? +

Provide a step-by-step guide to accomplish a given task. It is categorised as a Read tool in the FastMCP Boilerplate MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on instruction_tool? +

Register the FastMCP Boilerplate MCP server in PolicyLayer and add a rule for instruction_tool: 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 FastMCP Boilerplate. Nothing to install.

What risk level is instruction_tool? +

instruction_tool is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit instruction_tool? +

Yes. Add a rate_limit block to the instruction_tool 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.

How do I block instruction_tool completely? +

Set action: deny in the PolicyLayer policy for instruction_tool. 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.

What MCP server provides instruction_tool? +

instruction_tool is provided by the FastMCP Boilerplate MCP server (rainer85ah/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every FastMCP Boilerplate tool call.

Start from FastMCP Boilerplate, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →