score_locus_case
Score an anonymized adult mental-health / addiction case against LOCUS. Convenes the LOCUS Assessment Panel (psychiatrist, addiction specialist, clinical social worker, utilization reviewer, peer specialist, safety officer); each reviewer independently rates all six LOCUS dimensions, then a DETER...
This record as markdown: /tools/com-meta-council-decision-intelligence/score-locus-case.md
What score_locus_case does on Meta Council
AI agents call score_locus_case to retrieve information from Meta Council without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
case | string | Yes | The anonymized clinical case text (presentation, history, substance use, functional status, environment, engagement). |
model | string | — | Optional model override; omit for the platform default. |
wait_seconds | integer | — | Optional synchronous wait; default 0 returns immediately. |
Parameters from the server's own tool schema.
Why score_locus_case is rated Low
Tool reads and analyzes case data to produce a recommendation; no data modification or execution occurs.
From the tool's definition Score an anonymized adult mental-health / addiction case against LOCUS
Attacks that exploit this kind of access
The rule that runs score_locus_case safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Meta Council, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For score_locus_case, this is the rule to start with:
score_locus_case 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 Meta Council, apply this rule, and every score_locus_case call is checked against it from then on.
Questions about score_locus_case
Score an anonymized adult mental-health / addiction case against LOCUS. Convenes the LOCUS Assessment Panel (psychiatrist, addiction specialist, clinical social worker, utilization reviewer, peer specialist, safety officer); each reviewer independently rates all six LOCUS dimensions, then a DETERMINISTIC engine aggregates the ratings and applies the Determination Grid and the inviolable override floors IN CODE (safety floors like Risk-of-Harm=4 → Level 5 cannot be reasoned away). Returns the recommended Level of Care with a full audit trail. Adults only (CALOCUS/CASII covers child/adolescent); use ONLY anonymized cases. Starts asynchronously by default; poll get_session. Requires authentication. It is categorised as a Read tool in the Meta Council MCP Server, which means it retrieves data without modifying state.
score_locus_case accepts 3 parameters: case, model, wait_seconds. Required: case. The full parameter table on this page comes from the server's own tool schema.
Register the Meta Council MCP server in PolicyLayer and add a rule for score_locus_case: 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 Meta Council. Nothing to install.
score_locus_case 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 score_locus_case 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 score_locus_case. 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.
score_locus_case is provided by the Meta Council MCP server (https://meta-council.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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