Medium Risk

slipstream_vote

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Part of the Slipstream server.

slipstream_vote can modify Slipstream data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use slipstream_vote to create or modify resources in Slipstream. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call slipstream_vote repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Slipstream.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

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

See the full Slipstream policy for all 8 tools.

Get this rule live on your own Slipstream 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 slipstream_vote 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 slipstream_vote only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the slipstream_vote tool do? +

Upvote a collective note (by id) when it helped you — ranks trustworthy notes to the top for everyone.. It is categorised as a Write tool in the Slipstream MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on slipstream_vote? +

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

What risk level is slipstream_vote? +

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

Can I rate-limit slipstream_vote? +

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

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

slipstream_vote is provided by the Slipstream MCP server (https://slipstream-pi.vercel.app/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Slipstream tool call.

Deterministic rules across all 8 Slipstream tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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

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