Low Risk

audit_ternary_logic

Static code compliance audit. Detects Binary Habituation — over-reliance on true/false, bool types, and binary else branches — and returns a ternary calibration score with line-by-line Deliberation Injection recommendations. Also reports sparsity potential (what % of logic could benefit from a te...

Accepts freeform code/query input (code)

Part of the Ternary Intelligence Stack MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

rfi-irfos/ternlang Read Risk 2/5

AI agents call audit_ternary_logic to retrieve information from Ternary Intelligence Stack without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though audit_ternary_logic only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

rfi-irfos-ternlang.yaml
tools:
  audit_ternary_logic:
    rules:
      - action: allow

See the full Ternary Intelligence Stack policy for all 30 tools.

Tool Name audit_ternary_logic
Category Read
Risk Level Low

View all 30 tools →

Agents calling read-class tools like audit_ternary_logic have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Read risk category across the catalogue. The same policy patterns (rate-limit, allow) apply to each.

What does the audit_ternary_logic tool do? +

Static code compliance audit. Detects Binary Habituation — over-reliance on true/false, bool types, and binary else branches — and returns a ternary calibration score with line-by-line Deliberation Injection recommendations. Also reports sparsity potential (what % of logic could benefit from a ternary hold zone).. It is categorised as a Read tool in the Ternary Intelligence Stack MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on audit_ternary_logic? +

Add a rule in your Intercept YAML policy under the tools section for audit_ternary_logic. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Ternary Intelligence Stack MCP server.

What risk level is audit_ternary_logic? +

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

Can I rate-limit audit_ternary_logic? +

Yes. Add a rate_limit block to the audit_ternary_logic rule in your Intercept 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 audit_ternary_logic completely? +

Set action: deny in the Intercept policy for audit_ternary_logic. 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 audit_ternary_logic? +

audit_ternary_logic is provided by the Ternary Intelligence Stack MCP server (rfi-irfos/ternlang). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Ternary Intelligence Stack

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
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