suggest_model_for_task

Get AI model recommendation for specific task and budget

Server Smart Code Search MCP Server stevenjjobson/scs-mcp
Category Read
Risk class Low
Parameters 00 required

What suggest_model_for_task does on Smart Code Search MCP Server

AI agents call suggest_model_for_task to retrieve information from Smart Code Search MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why suggest_model_for_task needs a policy

This tool queries a model recommendation system to retrieve suggestions based on input parameters. It has no side effects—it does not create, modify, delete, or execute code. The operation is purely informational, making it a Read category risk with low severity, as misuse would only result in receiving potentially suboptimal recommendations with no destructive impact.

From the tool's definition Tool name 'suggest_model_for_task' and description 'Get AI model recommendation for specific task and budget' indicate a retrieval/query operation that returns information or recommendations without modifying, executing, or deleting data.

Questions about suggest_model_for_task

What does the suggest_model_for_task tool do? +

Get AI model recommendation for specific task and budget. It is categorised as a Read tool in the Smart Code Search MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on suggest_model_for_task? +

Register the Smart Code Search MCP Server MCP server in PolicyLayer and add a rule for suggest_model_for_task: 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 Smart Code Search MCP Server. Nothing to install.

What risk level is suggest_model_for_task? +

suggest_model_for_task is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit suggest_model_for_task? +

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

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

suggest_model_for_task is provided by the Smart Code Search MCP Server MCP server (stevenjjobson/scs-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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