### What happened?

When using LiteLLM with Fireworks AI models (e.g. `kimi-k2p6`) alongside MCP servers (Coralogix, DevRev), all requests fail with:

``` litellm.BadRequestError: Fireworks_aiException - {"error":{"object":"error", "type":"invalid_request_error","message":"JSON Schema not supported: could not understand the instance `{'default': None, 'title': 'Page Size'}`."}} Received Model Group=kimi-k2p6 ```

### Root Cause

MCP servers (Coralogix, DevRev, and likely others) define tools using Pydantic models, which auto-generate JSON Schema fields like `title` and `default`. LiteLLM passes these tool schemas to Fireworks AI as-is, but Fireworks AI's JSON Schema validator rejects them.

This is **not** covered by the existing fix in #6797 (which only addressed `response_format` schemas) — tool/function call schemas from MCP servers are unaffected.

### Expected Behavior

LiteLLM should sanitize tool schemas before sending to Fireworks AI, stripping unsupported JSON Schema fields — similar to how `strict` was handled in #9774.

The fix should live in `FireworksAIConfig` in `litellm/llms/fireworks_ai/chat/transformation.py` and apply to **both** tool schemas and `response_…