Get the target internal temperature for a specific protein and doneness level. Returns both the target serving temperature and the pull temperature (when to remove from heat) accounting for carryover cooking. Args: - protein_type: Type of protein - doneness: Desired doneness level (optional, uses...
AI agents call bbq_get_target_temperature to retrieve information from BBQ MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a straightforward data retrieval tool that queries cooking reference information. It takes parameters (protein_type, doneness level) and returns calculated guidance values. There are no write operations, no external API calls that alter state, no code execution, and no destructive or financial implications.
From the tool's definition Tool retrieves target temperature data for a specific protein and doneness level; returns informational values (serving temperature and pull temperature) with no side effects, modifications, or external state changes.
Attacks that exploit this kind of access
Get the target internal temperature for a specific protein and doneness level. Returns both the target serving temperature and the pull temperature (when to remove from heat) accounting for carryover cooking. Args: - protein_type: Type of protein - doneness: Desired doneness level (optional, uses recommended if not specified) - include_pull_temp: Whether to include pull temperature (default: true) - response_format:. It is categorised as a Read tool in the BBQ MCP Server MCP Server, which means it retrieves data without modifying state.
Register the BBQ MCP Server MCP server in PolicyLayer and add a rule for bbq_get_target_temperature: 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 BBQ MCP Server. Nothing to install.
bbq_get_target_temperature 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 bbq_get_target_temperature 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 bbq_get_target_temperature. 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.
bbq_get_target_temperature is provided by the BBQ MCP Server MCP server (jweingardt12/bbq-mcp). 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.
Teams ship this data inside their own products. See what a licence covers →