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Remove misleading tool call examples (Tool: xxx / Input: {}) that caused
the LLM to output tools as plain text instead of using the API's tool_calls
mechanism. Skills now focus on "when to use" descriptions rather than
showing text-formatted tool invocations.
Changes:
- mcp-servers: describe tools by purpose, not invocation format
- lua-scripts: remove text-formatted lua_run/lua_eval examples
- skill-creator: remove MCP/Lua content (now separate skills), focus on core skill creation
- weather: removed (obsolete, web_search handles this)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Playing TTS audio logs were spaming at INFO level during normal operation. Change to DEBUG to reduce log output. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Parser expects `## test_server` as section header. Change from inline format `**test_server**: ...` back to proper markdown section. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Previously tools_json was fetched once at agent startup, but MCP tools like mcp_server.tools_list are only registered after mcp_connect succeeds. This caused the LLM to not see MCP tools and output them as plain text. Now re-fetches tool_registry_get_tools_json() before each LLM call so that dynamically registered tools (MCP, etc.) are available immediately. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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