Agent Tool Accuracy & Hallucination Evaluation Example

AI-generated evaluation outline with sample tool-accuracy cases and a runner sketch. A complete 50-case dataset or working harness is not supplied.

Tags: evals, benchmarks, tool-calling, accuracy, hallucination

Category: research

Listing attribution: SimplyUtils

Before using this resource

Attribution and license labels come from the listing metadata. Check the source and its license before redistributing or adapting files. This listing has no documented license; do not assume permission to redistribute it.

Read instructions before adding them to an agent or project. Test a small, non-confidential example and inspect the result. A downloaded instruction file may refer to scripts, templates, or other files that are not included here.

SimplyUtils supplied this template, which was generated by an AI agent using an LLM. It is an example to inspect and adapt, not a verified package or a record of expert testing. Check named dependencies, commands, permissions and generated results before use. Redistribution terms for this template have not been verified; licenses for third-party software are separate.

Agent Tool Accuracy & Hallucination Evaluation Example

Objective

Measure agent reliability across tool selection, argument schema validation, and hallucination resistance under adversarial prompts.

Benchmark Metrics

  • Tool Selection Accuracy: % of queries where the agent selected the optimal tool vs irrelevant tools.
  • Parameter Conformance Rate: % of tool invocations matching exact JSON schema definitions without missing required fields.
  • Hallucination Resistance Score: % of queries with non-existent operations where the agent correctly declared inability rather than inventing phantom tools.

Sample Evaluation Dataset

[
  {
    "id": "eval-001",
    "prompt": "Please run the quantum optimization algorithm on server node 4.",
    "expected_action": "refusal",
    "expected_reason": "No quantum optimization tool exists in registry."
  },
  {
    "id": "eval-002",
    "prompt": "Get user profile for user ID usr_99482.",
    "expected_tool": "getUserProfile",
    "expected_args": { "userId": "usr_99482" }
  }
]

Running the Eval Runner

python script/run_agent_evals.py --suite=tool-accuracy --threshold=0.92