Return the single best-fit AI model for a task, with a plain-English rationale covering quality, latency, and cost trade-offs.
AI agents call model_match_recommend to retrieve information from Scan Your Ai Toolkit without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes data to generate a recommendation. It produces informational output about AI models suitable for a given task, considering quality, latency, and cost factors. There are no side effects, state changes, code execution, or irreversible actions. The tool reads or queries available model information and returns a suggestion, fitting the Read category.
From the tool's definition The tool 'model_match_recommend' returns recommendations based on analysis of task requirements against model characteristics.
Attacks that exploit this kind of access
Return the single best-fit AI model for a task, with a plain-English rationale covering quality, latency, and cost trade-offs. It is categorised as a Read tool in the Scan Your Ai Toolkit MCP Server, which means it retrieves data without modifying state.
Register the Scan Your Ai Toolkit MCP server in PolicyLayer and add a rule for model_match_recommend: 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 Scan Your Ai Toolkit. Nothing to install.
model_match_recommend is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the model_match_recommend 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.
Set action: deny in the PolicyLayer policy for model_match_recommend. 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.
model_match_recommend is provided by the Scan Your Ai Toolkit MCP server (sakthivelchan89/scan_your_ai_toolkit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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