splitifi_gal_framework

Get a guardian ad litem assessment framework: factors to assess, interview approach by age, and report structure.

SERVERSplitifi Intelligence MCP SOURCEsplitifi-mcp
Low RISK CLASS
Category Read
Parameters 31 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-gal-framework.md

What splitifi_gal_framework does on Splitifi Intelligence MCP

AI agents call splitifi_gal_framework 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
allegations array Any allegations of abuse, neglect, or DV
jurisdiction string Yes
children_ages array Ages of children

Parameters from the server's own tool schema.

Why splitifi_gal_framework is rated Low

This tool retrieves and queries reference material (an assessment framework document) for professional use in child welfare cases. It returns informational guidance without side effects—no data is created, modified, deleted, or executed. While the underlying data concerns sensitive legal/welfare matters, the tool itself is purely informational retrieval, placing it in the Read category with low severity.

From the tool's definition Tool description states 'Get a guardian ad litem assessment framework: factors to assess, interview approach by age, and report structure.' The verb 'Get' indicates retrieval of structured information.

Questions about splitifi_gal_framework

What does the splitifi_gal_framework tool do? +

Get a guardian ad litem assessment framework: factors to assess, interview approach by age, and report structure. 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_gal_framework accept? +

splitifi_gal_framework accepts 3 parameters: allegations, jurisdiction, children_ages. Required: jurisdiction. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on splitifi_gal_framework? +

Register the Splitifi Intelligence MCP server in PolicyLayer and add a rule for splitifi_gal_framework: 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_gal_framework? +

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

Can I rate-limit splitifi_gal_framework? +

Yes. Add a rate_limit block to the splitifi_gal_framework 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_gal_framework completely? +

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

splitifi_gal_framework 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.

More on Splitifi Intelligence, and thousands of servers like it.

Across the catalogue

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Splitifi Intelligence's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.