Extract and analyze hidden assumptions in logical arguments. Identifies implicit premises, background knowledge, and logical gaps that are assumed but not explicitly stated. Provides Socratic analysis to strengthen arguments. Detection Methods: - Pattern-based extraction (causal, normative, defin...
AI agents call logic-extract-assumptions to retrieve information from Logic-Thinking MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs pure analysis and extraction of logical properties from arguments provided by the user. It reads logical structures, identifies assumptions, and provides analytical output. There are no side effects, no external execution, no data modification, and no destructive operations.
From the tool's definition Tool description states it 'Identifies implicit premises, background knowledge, and logical gaps' and 'Provides Socratic analysis' using 'Pattern-based extraction', 'Validity gap analysis', and 'Term extraction'.
Attacks that exploit this kind of access
Extract and analyze hidden assumptions in logical arguments. Identifies implicit premises, background knowledge, and logical gaps that are assumed but not explicitly stated. Provides Socratic analysis to strengthen arguments. Detection Methods: - Pattern-based extraction (causal, normative, definitional patterns) - Validity gap analysis (missing premises for logical validity) - Term extraction (equivocation and ambiguity detection) - Background knowledge identification Assumption Types: - Hidden Premise: Missing premise required for validity - Background Knowledge: Domain-specific knowledge assumed - Definitional: Assumed definitions or meanings - Causal: Causal relationships assumed - Normative: Value judgments or norms assumed - Existential: Existence assumptions Features: - Confidence scoring for each assumption - Necessity classification (required/supporting/contextual) - Validity gap identification - Argument strength assessment - Actionable recommendations. It is categorised as a Read tool in the Logic-Thinking MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Logic-Thinking MCP Server MCP server in PolicyLayer and add a rule for logic-extract-assumptions: 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 Logic-Thinking MCP Server. Nothing to install.
logic-extract-assumptions 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 logic-extract-assumptions 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 logic-extract-assumptions. 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.
logic-extract-assumptions is provided by the Logic-Thinking MCP Server MCP server (quanticsoul4772/logic-thinking). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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