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 BACKGROUND_TASK_DESCRIPTION = `Launch a background agent task that runs asynchronously.
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export const BACKGROUND_TASK_DESCRIPTION = `Run agent task in background. Returns task_id immediately; notifies on completion.
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The task runs in a separate session while you continue with other work. The system will notify you when the task completes.
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Use \`background_output\` to get results. Prompts MUST be in English.`
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Use this for:
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- Long-running research tasks
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- Complex analysis that doesn't need immediate results
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- Parallel workloads to maximize throughput
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export const BACKGROUND_OUTPUT_DESCRIPTION = `Get output from background task. System notifies on completion, so block=true rarely needed.`
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Arguments:
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- description: Short task description (shown in status)
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- prompt: Full detailed prompt for the agent (MUST be in English for optimal LLM performance)
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- agent: Agent type to use (any agent allowed)
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IMPORTANT: Always write prompts in English regardless of user's language. LLMs perform significantly better with English prompts.
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Returns immediately with task ID and session info. Use \`background_output\` to check progress or retrieve results.`
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export const BACKGROUND_OUTPUT_DESCRIPTION = `Get output from a background task.
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Arguments:
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- task_id: Required task ID to get output from
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- block: If true, wait for task completion. If false (default), return current status immediately.
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- timeout: Max wait time in ms when blocking (default: 60000, max: 600000)
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The system automatically notifies when background tasks complete. You typically don't need block=true.`
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export const BACKGROUND_CANCEL_DESCRIPTION = `Cancel running background task(s).
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Only works for tasks with status "running". Aborts the background session and marks the task as cancelled.
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Arguments:
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- taskId: Task ID to cancel (optional if all=true)
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- all: Set to true to cancel ALL running background tasks at once (default: false)
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**Cleanup Before Answer**: When you have gathered sufficient information and are ready to provide your final answer to the user, use \`all=true\` to cancel ALL running background tasks first, then deliver your response. This conserves resources and ensures clean workflow completion.`
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export const BACKGROUND_CANCEL_DESCRIPTION = `Cancel running background task(s). Use all=true to cancel ALL before final answer.`
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