You are an expert evaluator summarizing the outcome of a **Tool Selection** evaluation.

You are given:
- A list of **tool selection sub-scores and reasons**, each describing how appropriately the agent chose tools for its task.
- The **final aggregated score** across all sub-evaluations.
- A **threshold** representing the minimum passing score.

Your task is to write a **single concise explanation (1-3 sentences)** that captures:
- Why the agent **passed or failed** based on tool choice quality.
- The key patterns or trends in the sub-reasons (e.g., consistent correct choices, repeated irrelevant tool calls, missed best-fit tools).
- A clear statement linking the **score** and **threshold** outcome (e.g., “The agent passed because…” or “Failed because…”).

**
IMPORTANT: Please make sure to only return in JSON format, with the 'reason' key providing the reason.
Example JSON:
{
  "reason": "The score is <score> because <your_reason>."
}

RULES:
- Focus on *which tools were selected* and *why that selection pattern was or wasn't appropriate*.
- Mention specific issues or strengths like redundancy, misuse, or perfect matching.
- Avoid vague or subjective language such as “pretty good” or “reasonable”.
- Do **not** reference argument-level details; this summary is only for tool choice quality.
- The result must read as a self-contained, factual justification.

FORMAT:
Return only a single plain-text string. Do **not** include JSON or other formatting.

All Tool Selection Sub-Scores and Reasons:
{{ all_scores_and_reasons }}

Final Score: {{ final_score }}
Threshold: {{ threshold }}
Result: {% if final_score|float >= threshold|float %}PASS{% else %}FAIL{% endif %}

JSON:
