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sell_token

Execute a real sell transaction on the slush.meme bonding curve. Sells tokens and receives AVAX. Auto-approves if needed. Requires the agent

Part of the Slush Meme server.

sell_token can trigger actions in Slush Meme, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents invoke sell_token to trigger processes or run actions in Slush Meme. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

sell_token can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "sell_token": {
      "limits": [
        {
          "counter": "sell_token_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

See the full Slush Meme policy for all 13 tools.

Get this rule live on your own Slush Meme 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 sell_token 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 sell_token only ever does what you allow.

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

What does the sell_token tool do? +

Execute a real sell transaction on the slush.meme bonding curve. Sells tokens and receives AVAX. Auto-approves if needed. Requires the agent. It is categorised as a Execute tool in the Slush Meme MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on sell_token? +

Register the Slush Meme MCP server in PolicyLayer and add a rule for sell_token: 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 Slush Meme. Nothing to install.

What risk level is sell_token? +

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

Can I rate-limit sell_token? +

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

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

sell_token is provided by the Slush Meme MCP server (slush-meme-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Slush Meme tool call.

Deterministic rules across all 13 Slush Meme 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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