list_recipe_benchmarks
List published benchmarks for a recipe. A benchmark groups two or more runs together so viewers can compare cost, tokens, duration, and final outputs across model configurations.
This record as markdown: /tools/flowdot-llc-mcp-server/list-recipe-benchmarks.md
What list_recipe_benchmarks does on FlowDot MCP Server
AI agents call list_recipe_benchmarks to retrieve information from FlowDot MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why list_recipe_benchmarks is rated Low
This tool retrieves and displays benchmark information (cost, tokens, duration, outputs) for comparison purposes. The use of 'list' and 'view' operations with no mention of creation, modification, deletion, or execution of external operations places it squarely in the Read category. The data returned is informational only and carries minimal risk if an AI agent calls it without authorization.
From the tool's definition Tool name 'list_recipe_benchmarks' and description 'List published benchmarks' indicate retrieval/querying of existing benchmark data with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs list_recipe_benchmarks safely
PolicyLayer is an MCP gateway: it sits between your AI agents and FlowDot MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For list_recipe_benchmarks, this is the rule to start with:
list_recipe_benchmarks 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 FlowDot MCP Server, apply this rule, and every list_recipe_benchmarks call is checked against it from then on.
Questions about list_recipe_benchmarks
List published benchmarks for a recipe. A benchmark groups two or more runs together so viewers can compare cost, tokens, duration, and final outputs across model configurations. It is categorised as a Read tool in the FlowDot MCP Server MCP Server, which means it retrieves data without modifying state.
Register the FlowDot MCP Server MCP server in PolicyLayer and add a rule for list_recipe_benchmarks: 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 FlowDot MCP Server. Nothing to install.
list_recipe_benchmarks 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 list_recipe_benchmarks 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 list_recipe_benchmarks. 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.
list_recipe_benchmarks is provided by the FlowDot MCP Server MCP server (flowdot-llc/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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