get_model_info
Get detailed information about a specific LLM/VLM model: pricing, benchmarks, capabilities,
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What get_model_info does on Llm Advisor
AI agents call get_model_info to retrieve information from Llm Advisor without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why get_model_info is rated Low
This tool queries and returns model metadata (pricing, benchmarks, capabilities) from a database without side effects. It is a straightforward read operation that retrieves existing data. No data is created, modified, deleted, or executed. Severity is low because misuse would only result in information disclosure, which has minimal blast radius in this context.
From the tool's definition Tool description states 'Get detailed information about a specific LLM/VLM model: pricing, benchmarks, capabilities' - purely informational retrieval with no modification, deletion, or execution of external operations.
Attacks that exploit this kind of access
The rule that runs get_model_info safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Llm Advisor, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_model_info, this is the rule to start with:
get_model_info is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Llm Advisor, apply this rule, and every get_model_info call is checked against it from then on.
Questions about get_model_info
Get detailed information about a specific LLM/VLM model: pricing, benchmarks, capabilities,. It is categorised as a Read tool in the Llm Advisor MCP Server, which means it retrieves data without modifying state.
Register the Llm Advisor MCP server in PolicyLayer and add a rule for get_model_info: 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 Llm Advisor. Nothing to install.
get_model_info 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 get_model_info 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 get_model_info. 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.
get_model_info is provided by the Llm Advisor MCP server (llm-advisor-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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