stash · Python MCP: Risk & Policy

WHAT IT DOES

What stash does on Python

AI agents invoke stash to trigger actions in Python. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why stash needs a policy

The stash tool triggers git stash operations (push, pop, apply, drop, clear) which are external git commands that modify repository state. While 'show' is read-only, 'drop' and 'clear' are irreversible deletions of stash entries. However, since the tool spans multiple operations and the primary framing is executing git commands, Execute is appropriate.

From the tool's definition Pushes, pops, applies, drops, shows, or clears stash entries

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

stash Rate-limited

stash stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "stash": {
      "limits": [
        {
          "counter": "stash_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Python, so you can run agents against it safely.

FAQ

Questions about stash

What does the stash tool do? +

Pushes, pops, applies, drops, shows, or clears stash entries. Returns structured result with action, success, message, and stash reference. It is categorised as a Execute tool in the Python MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on stash? +

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

What risk level is stash? +

stash is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit stash? +

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

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

stash is provided by the Python MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// THE FULL RECORD

stash is one line of Python's registry record.

The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.

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