splitifi_batch
Run up to 50 Splitifi intelligence calls in a single request. Ideal for building case dashboards or running multiple analyses at once. Each request specifies a tool name and params.
This record as markdown: /tools/io-github-mysplitifi-splitifi-mcp/splitifi-batch.md
What splitifi_batch does on Splitifi Intelligence MCP
AI agents invoke splitifi_batch to trigger actions in Splitifi Intelligence MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
| Parameter | Type | Required | Description |
|---|---|---|---|
requests | array | Yes | Array of { tool: string, params: object } — tool names match the REST API endpoint slugs (predict, judge-profile, comparable-cases, calculate-child-support, etc |
Parameters from the server's own tool schema.
Why splitifi_batch is rated High
The tool's primary function is to execute multiple MCP calls programmatically based on user-supplied parameters. While individual downstream tools may be Read or Write, the batch execution capability and the ability to chain 50 different operations with arbitrary parameters constitutes Execute-level risk.
From the tool's definition Tool description states 'Run up to 50 Splitifi intelligence calls in a single request' — 'Run' indicates execution of operations.
Attacks that exploit this kind of access
The rule that runs splitifi_batch safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Splitifi Intelligence MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For splitifi_batch, this is the rule to start with:
splitifi_batch stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Splitifi Intelligence MCP, apply this rule, and every splitifi_batch call is checked against it from then on.
Questions about splitifi_batch
Run up to 50 Splitifi intelligence calls in a single request. Ideal for building case dashboards or running multiple analyses at once. Each request specifies a tool name and params. It is categorised as a Execute tool in the Splitifi Intelligence MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
splitifi_batch accepts 1 parameter: requests. Required: requests. The full parameter table on this page comes from the server's own tool schema.
Register the Splitifi Intelligence MCP server in PolicyLayer and add a rule for splitifi_batch: 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.
splitifi_batch is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the splitifi_batch 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 splitifi_batch. 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.
splitifi_batch 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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