Low Risk

scratchpad_diff

현재 키 값과 체크포인트 값의 diff를 반환합니다. 또는 두 임의 값의 diff 비교.

Part of the Ai Agent Scratchpad server.

scratchpad_diff is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

SECURE AI AGENT SCRATCHPAD →

Free to start. No card required.

AI agents call scratchpad_diff to retrieve information from Ai Agent Scratchpad without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though scratchpad_diff only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "scratchpad_diff": {}
  }
}

See the full Ai Agent Scratchpad policy for all 6 tools.

Get this rule live on your own Ai Agent Scratchpad server in minutes. PolicyLayer enforces it on every call, before it runs.

ENFORCE ON MY AI AGENT SCRATCHPAD →

These attack patterns abuse exactly the kind of access scratchpad_diff gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so scratchpad_diff only ever does what you allow.

SECURE AI AGENT SCRATCHPAD →

Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the scratchpad_diff tool do? +

현재 키 값과 체크포인트 값의 diff를 반환합니다. 또는 두 임의 값의 diff 비교.. It is categorised as a Read tool in the Ai Agent Scratchpad MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on scratchpad_diff? +

Register the Ai Agent Scratchpad MCP server in PolicyLayer and add a rule for scratchpad_diff: 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 Ai Agent Scratchpad. Nothing to install.

What risk level is scratchpad_diff? +

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

Can I rate-limit scratchpad_diff? +

Yes. Add a rate_limit block to the scratchpad_diff 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 scratchpad_diff completely? +

Set action: deny in the PolicyLayer policy for scratchpad_diff. 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 scratchpad_diff? +

scratchpad_diff is provided by the Ai Agent Scratchpad MCP server (https://api.lazy-mac.com/ai-agent-scratchpad/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ai Agent Scratchpad tool call.

Deterministic rules across all 6 Ai Agent Scratchpad tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.