Low Risk

guard_input

Scan incoming prompts for unsafe or malicious instructions

Part of the Agntor server.

guard_input 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.

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AI agents call guard_input to retrieve information from Agntor 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 guard_input 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": {
    "guard_input": {}
  }
}

See the full Agntor policy for all 14 tools.

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

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These attack patterns abuse exactly the kind of access guard_input 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 guard_input only ever does what you allow.

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

What does the guard_input tool do? +

Scan incoming prompts for unsafe or malicious instructions. It is categorised as a Read tool in the Agntor MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on guard_input? +

Register the Agntor MCP server in PolicyLayer and add a rule for guard_input: 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 Agntor. Nothing to install.

What risk level is guard_input? +

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

Can I rate-limit guard_input? +

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

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

guard_input is provided by the Agntor MCP server (@agntor/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Agntor tool call.

Deterministic rules across all 14 Agntor 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.

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