inference_update_provider

Update your marketplace listing in place — name, models, payout address, endpoint, or description — no delete/re-add.

SERVERAibtc SOURCEaibtcdev/aibtc-mcp-server

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity verified Pull the record →

This record as markdown: /tools/io-github-aibtcdev-mcp-server/inference-update-provider.md

WHAT IT DOES

What inference_update_provider does on Aibtc

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

RISK

Why inference_update_provider is rated Medium

This tool modifies existing marketplace data (listing attributes, payout address) but does not delete or create from scratch. Updates are generally reversible, placing it in Write category. Severity is high because modifying a payout address could redirect funds, and marketplace listings are critical infrastructure for service providers.

From the tool's definition Tool description states 'Update your marketplace listing in place — name, models, payout address, endpoint, or description'. The action is reversible modification of data (update), not deletion or creation of new listings.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs inference_update_provider safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Aibtc, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For inference_update_provider, this is the rule to start with:

inference_update_provider Rate-limited

inference_update_provider 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "inference_update_provider": {
      "limits": [
        {
          "counter": "inference_update_provider_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Aibtc, apply this rule, and every inference_update_provider call is checked against it from then on.

FAQ

Questions about inference_update_provider

What does the inference_update_provider tool do? +

Update your marketplace listing in place — name, models, payout address, endpoint, or description — no delete/re-add. It is categorised as a Write tool in the Aibtc MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on inference_update_provider? +

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

What risk level is inference_update_provider? +

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

Can I rate-limit inference_update_provider? +

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

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

inference_update_provider is provided by the Aibtc MCP server (aibtcdev/aibtc-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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