get_model_card
Footdigest: the live model card behind every prediction. Returns the backtested RPS versus a naive baseline, the out-of-sample size, the calibration table, the methodology, and an explicit list of what is not measured. Use it to audit any number the other tools return.
This record as markdown: /tools/com-footdigest-footdigest/get-model-card.md
What get_model_card does on Footdigest
AI agents call get_model_card to retrieve information from Footdigest 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_card is rated Low
get_model_card retrieves and displays model audit information without modifying, deleting, or executing any operations. It is a pure information lookup tool used for transparency and validation of prediction models. No side effects or state changes occur.
From the tool's definition Tool returns model metadata: 'backtested RPS versus a naive baseline, the out-of-sample size, the calibration table, the methodology, and an explicit list of what is not measured.' These are all read-only queries of existing model documentation and metrics.
Risk signalsBulk/mass operation — affects multiple targets
Attacks that exploit this kind of access
The rule that runs get_model_card safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Footdigest, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_model_card, this is the rule to start with:
get_model_card 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 Footdigest, apply this rule, and every get_model_card call is checked against it from then on.
Questions about get_model_card
Footdigest: the live model card behind every prediction. Returns the backtested RPS versus a naive baseline, the out-of-sample size, the calibration table, the methodology, and an explicit list of what is not measured. Use it to audit any number the other tools return. It is categorised as a Read tool in the Footdigest MCP Server, which means it retrieves data without modifying state.
Register the Footdigest MCP server in PolicyLayer and add a rule for get_model_card: 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 Footdigest. Nothing to install.
get_model_card 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_card 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_card. 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_card is provided by the Footdigest MCP server (https://footdigest.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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