Why

The spawn_agent model override guidance is uncapped and bloating context. We need to trim down each entry and cap total entries.

picked 5 as cap, we can change

What changed

• Cap the model override summaries shown in spawn_agent to the first 5 picker-visible models, preserving the existing priority ordering from the models manager.
• Condense each rendered entry to the actionable pieces the model needs:
  • use the model slug as the label
  • render compact reasoning effort lists with the default marked inline
  • render only service tier IDs, and omit the clause when no tiers are available
• Update coverage so the compact formatter shape and the top-5 cap are exercised, and keep the end-to-end request assertion aligned with real model metadata.

Example

Before:

- gpt-5.4 ('gpt-5.4\'): Strong model for everyday coding. Default reasoning effort: medium. Supported reasoning efforts: low (Fast responses with lighter reasoning), medium (Balances speed and reasoning depth for everyday tasks), high (Greater reasoning depth for complex problems), xhigh (Extra high reasoning depth for complex problems). Supported service tiers: priority (Fast: 1.5x speed, increased usage).

After:

- 'gpt-5.4': Strong model for everyday coding. Reasoning efforts: low, medium (default), high, xhigh. Service tiers: priority.