Medium Risk

hash_set

Set field in hash. Args: key: The name of the key field: The field name value: The value to set Returns: Success message or error message

How to control hash_set ↓

What hash_set does on AWS

AI agents use hash_set to create or update resources in AWS — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AWS environment.

Medium Risk

Why hash_set needs a policy

This tool modifies data by setting a field in a hash structure. It is reversible (the value can be changed again) and has no deletion or external execution semantics. Classification is Write rather than Read (which retrieves data) or Execute (which runs code/commands).

From the tool's definition Tool description states 'Set field in hash' with arguments for key, field, and value. The verb 'set' indicates modification of data. Returns 'Success message or error message', confirming an action is performed.

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

How to control hash_set

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "hash_set": {
      "limits": [
        {
          "counter": "hash_set_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

hash_set stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register AWS — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

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Questions about hash_set

What does the hash_set tool do? +

Set field in hash. Args: key: The name of the key field: The field name value: The value to set Returns: Success message or error message. It is categorised as a Write tool in the AWS MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on hash_set? +

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

What risk level is hash_set? +

hash_set is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit hash_set? +

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

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

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

Enforce policy on every AWS tool call.

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

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300 AWS tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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