Optimize tool descriptions for token efficiency (#73)
* Optimize background-task tool descriptions for token efficiency - BACKGROUND_TASK_DESCRIPTION: 571 chars → 127 chars - BACKGROUND_OUTPUT_DESCRIPTION: 268 chars → 95 chars - BACKGROUND_CANCEL_DESCRIPTION: 374 chars → 83 chars Follows token efficiency improvements pattern from PR #71. 🤖 Generated with assistance of OhMyOpenCode (https://github.com/code-yeongyu/oh-my-opencode) * Optimize call-omo-agent tool description for token efficiency - CALL_OMO_AGENT_DESCRIPTION: 841 chars → 156 chars (~81% reduction) - Follows pattern from PR #71 where LSP tool descriptions were optimized - Maintains core information while removing redundant explanations 🤖 Generated with assistance of OhMyOpenCode (https://github.com/code-yeongyu/oh-my-opencode) * Optimize look-at tool description for token efficiency 🤖 Generated with assistance of OhMyOpenCode (https://github.com/code-yeongyu/oh-my-opencode) * Optimize interactive-bash tool description for token efficiency 346 chars → 130 chars (~62% reduction), following PR #71 pattern. 🤖 Generated with assistance of OhMyOpenCode
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export const MULTIMODAL_LOOKER_AGENT = "multimodal-looker" as const
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export const LOOK_AT_DESCRIPTION = `Analyze media files (PDFs, images, diagrams) that require visual interpretation.
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Parameters:
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- file_path: Absolute path to the file to analyze
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- goal: What specific information to extract (be specific for better results)
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This tool uses a separate context window with Gemini 2.5 Flash for multimodal analysis,
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saving tokens in the main conversation while providing accurate visual interpretation.`
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export const LOOK_AT_DESCRIPTION = `Analyze media files (PDFs, images, diagrams) via Gemini 2.5 Flash in separate context. Saves main context tokens.`
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