hallucination_confidence_meter
Evaluates the likelihood of hallucination in LLM responses by comparing against HuggingFace model confidence scores. Designed for risk assessment personas to quantify response reliability. Accepts text snippets or model outputs, returns confidence metrics and potential hallucination warnings. Cro...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/hallucination-confidence-meter.md
What hallucination_confidence_meter does on Mcp Knowledge
AI agents call hallucination_confidence_meter to retrieve information from Mcp Knowledge 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 |
|---|---|---|---|
text | string | Yes | The LLM-generated text to evaluate for hallucination risk |
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
model_id | string | — | Optional specific HuggingFace model ID to use for evaluation |
threshold | number | — | Confidence threshold below which hallucination warnings are triggered |
Parameters from the server's own tool schema.
Why hallucination_confidence_meter is rated Low
This tool reads and analyzes text input, comparing it against external model confidence scores and leaderboard data. It produces a report/metrics output with no side effects—no data is written, deleted, or executed. It is purely a retrieval and analysis operation.
From the tool's definition Evaluates the likelihood of hallucination... returns confidence metrics and potential hallucination warnings. Cross-references with top-performing models from the HuggingFace leaderboard.
Attacks that exploit this kind of access
The rule that runs hallucination_confidence_meter safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For hallucination_confidence_meter, this is the rule to start with:
hallucination_confidence_meter 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 Mcp Knowledge, apply this rule, and every hallucination_confidence_meter call is checked against it from then on.
Questions about hallucination_confidence_meter
Evaluates the likelihood of hallucination in LLM responses by comparing against HuggingFace model confidence scores. Designed for risk assessment personas to quantify response reliability. Accepts text snippets or model outputs, returns confidence metrics and potential hallucination warnings. Cross-references with top-performing models from the HuggingFace leaderboard. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
hallucination_confidence_meter accepts 4 parameters: text, async, model_id, threshold. Required: text. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for hallucination_confidence_meter: 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 Mcp Knowledge. Nothing to install.
hallucination_confidence_meter 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 hallucination_confidence_meter 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 hallucination_confidence_meter. 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.
hallucination_confidence_meter is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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