inference_check_provider

Re-run the marketplace

SERVERAibtc SOURCEaibtcdev/aibtc-mcp-server
High RISK CLASS
Category Execute
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-check-provider.md

What inference_check_provider does on Aibtc

AI agents invoke inference_check_provider to trigger actions in Aibtc. 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 inference_check_provider is rated High

The description 'Re-run the marketplace' implies executing or triggering some marketplace process. This falls under Execute as it appears to trigger an external operation. However, the description is vague and uninformative, which lowers confidence.

From the tool's definition 'Re-run the marketplace' suggests triggering an external operation or process execution

Questions about inference_check_provider

What does the inference_check_provider tool do? +

Re-run the marketplace. It is categorised as a Execute tool in the Aibtc MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on inference_check_provider? +

Register the Aibtc MCP server in PolicyLayer and add a rule for inference_check_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_check_provider? +

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

Can I rate-limit inference_check_provider? +

Yes. Add a rate_limit block to the inference_check_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_check_provider completely? +

Set action: deny in the PolicyLayer policy for inference_check_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_check_provider? +

inference_check_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.

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