Tool interface
Verify that the exact checkpoint and chat template support the intended tool-message format. A server exposing a tools parameter does not prove the model was trained to use tools.
AGENT USE CASE · SOURCE-FIRST
Tool calling is a system behavior, not a guarantee conferred by downloadable weights. Assess the model's tool-use training, chat template, serving parser, output validity and multi-step task success separately.
Verify that the exact checkpoint and chat template support the intended tool-message format. A server exposing a tools parameter does not prove the model was trained to use tools.
Test JSON schema validity, required fields, tool selection, refusals and recovery after a failed call on an isolated set of realistic tasks.
Ollama, llama.cpp and vLLM expose different tool interfaces and parser requirements. Validate the selected runtime version and checkpoint together.
The application, not the model, enforces tool permissions, input validation, auditing, rate limits and human approval for sensitive actions.
These model records are included by catalog modality or category, not by a verified task-success benchmark. Follow their primary sources before testing.
COMMON QUESTIONS
No. Tool APIs and model output fidelity are separate questions. Without model- and runtime-specific tests, support is unknown.
No. The application must validate the proposed arguments and decide whether and how to execute the tool.
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REAL SOURCE EVIDENCE
Different benchmark versions are not comparable; no numbers below were independently reproduced by Open Model Weights.
Model metadata is source-linked; agent task success, tool-call reliability and production readiness require separate tests.
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