splitifi_get_model

Fetch the full model card for a specific model by ID. Returns metadata, performance metrics, training provenance, and jurisdiction. Use splitifi_list_models to discover model IDs.

SERVERSplitifi Intelligence MCP SOURCEsplitifi-mcp
Low RISK CLASS
Category Read
Parameters 11 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-mysplitifi-splitifi-mcp/splitifi-get-model.md

What splitifi_get_model does on Splitifi Intelligence MCP

AI agents call splitifi_get_model to retrieve information from Splitifi Intelligence MCP without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
model_id string Yes Model ID (e.g. "settlement_probability_v1", "jd_wl_cacd_v1", "lf_ca1_antitrust_win_v1")

Parameters from the server's own tool schema.

Why splitifi_get_model is rated Low

This tool retrieves and returns static metadata and model information about a pre-trained ML model by ID. It has no side effects, does not execute code or queries, does not modify state, and does not move money. The blast radius of misuse is minimal—an attacker gaining access would be able to read model documentation and performance data, which poses no direct operational risk. Classification as Read is appropriate.

From the tool's definition Tool performs 'Fetch' operation returning 'metadata, performance metrics, training provenance, and jurisdiction' with no mention of modification, deletion, execution, or financial operations. Description explicitly indicates retrieval-only behavior.

Questions about splitifi_get_model

What does the splitifi_get_model tool do? +

Fetch the full model card for a specific model by ID. Returns metadata, performance metrics, training provenance, and jurisdiction. Use splitifi_list_models to discover model IDs. It is categorised as a Read tool in the Splitifi Intelligence MCP MCP Server, which means it retrieves data without modifying state.

What parameters does splitifi_get_model accept? +

splitifi_get_model accepts 1 parameter: model_id. Required: model_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on splitifi_get_model? +

Register the Splitifi Intelligence MCP server in PolicyLayer and add a rule for splitifi_get_model: 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 Splitifi Intelligence MCP. Nothing to install.

What risk level is splitifi_get_model? +

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

Can I rate-limit splitifi_get_model? +

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

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

splitifi_get_model is provided by the Splitifi Intelligence MCP server (splitifi-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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