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

src/tools/background-task/constants.ts

@@ -1,36 +1,7 @@
-export const BACKGROUND_TASK_DESCRIPTION = `Launch a background agent task that runs asynchronously.
+export const BACKGROUND_TASK_DESCRIPTION = `Run agent task in background. Returns task_id immediately; notifies on completion.
 
-The task runs in a separate session while you continue with other work. The system will notify you when the task completes.
+Use \`background_output\` to get results. Prompts MUST be in English.`
 
-Use this for:
-- Long-running research tasks
-- Complex analysis that doesn't need immediate results
-- Parallel workloads to maximize throughput
+export const BACKGROUND_OUTPUT_DESCRIPTION = `Get output from background task. System notifies on completion, so block=true rarely needed.`
 
-Arguments:
-- description: Short task description (shown in status)
-- prompt: Full detailed prompt for the agent (MUST be in English for optimal LLM performance)
-- agent: Agent type to use (any agent allowed)
-
-IMPORTANT: Always write prompts in English regardless of user's language. LLMs perform significantly better with English prompts.
-
-Returns immediately with task ID and session info. Use \`background_output\` to check progress or retrieve results.`
-
-export const BACKGROUND_OUTPUT_DESCRIPTION = `Get output from a background task.
-
-Arguments:
-- task_id: Required task ID to get output from
-- block: If true, wait for task completion. If false (default), return current status immediately.
-- timeout: Max wait time in ms when blocking (default: 60000, max: 600000)
-
-The system automatically notifies when background tasks complete. You typically don't need block=true.`
-
-export const BACKGROUND_CANCEL_DESCRIPTION = `Cancel running background task(s).
-
-Only works for tasks with status "running". Aborts the background session and marks the task as cancelled.
-
-Arguments:
-- taskId: Task ID to cancel (optional if all=true)
-- all: Set to true to cancel ALL running background tasks at once (default: false)
-
-**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.`
+export const BACKGROUND_CANCEL_DESCRIPTION = `Cancel running background task(s). Use all=true to cancel ALL before final answer.`

src/tools/call-omo-agent/constants.ts

@@ -1,25 +1,7 @@
 export const ALLOWED_AGENTS = ["explore", "librarian"] as const
 
-export const CALL_OMO_AGENT_DESCRIPTION = `Launch a new agent to handle complex, multi-step tasks autonomously.
+export const CALL_OMO_AGENT_DESCRIPTION = `Spawn explore/librarian agent. run_in_background REQUIRED (true=async with task_id, false=sync).
 
-This is a restricted version of the Task tool that only allows spawning explore and librarian agents.
+Available: {agents}
 
-Available agent types:
-{agents}
-
-When using this tool, you must specify a subagent_type parameter to select which agent type to use.
-
-**IMPORTANT: run_in_background parameter is REQUIRED**
-- \`run_in_background=true\`: Task runs asynchronously in background. Returns immediately with task_id.
-  The system will notify you when the task completes.
-  Use \`background_output\` tool with task_id to check progress (block=false returns full status info).
-- \`run_in_background=false\`: Task runs synchronously. Waits for completion and returns full result.
-
-Usage notes:
-1. Launch multiple agents concurrently whenever possible, to maximize performance
-2. When the agent is done, it will return a single message back to you
-3. Each agent invocation is stateless unless you provide a session_id
-4. Your prompt should contain a highly detailed task description for the agent to perform autonomously
-5. Clearly tell the agent whether you expect it to write code or just to do research
-6. For long-running research tasks, use run_in_background=true to avoid blocking
-7. **IMPORTANT**: Always write prompts in English regardless of user's language. LLMs perform significantly better with English prompts.`
+Prompts MUST be in English. Use \`background_output\` for async results.`

src/tools/interactive-bash/constants.ts

@@ -11,12 +11,6 @@ export const BLOCKED_TMUX_SUBCOMMANDS = [
   "pipep",
 ]
 
-export const INTERACTIVE_BASH_DESCRIPTION = `Execute tmux commands for interactive terminal session management.
+export const INTERACTIVE_BASH_DESCRIPTION = `Execute tmux commands. Use "omo-{name}" session pattern.
 
-Use session names following the pattern "omo-{name}" for automatic tracking.
-
-BLOCKED COMMANDS (use bash tool instead):
-- capture-pane / capturep: Use bash to read output files or pipe output
-- save-buffer / saveb: Use bash to save content to files
-- show-buffer / showb: Use bash to read buffer content
-- pipe-pane / pipep: Use bash for piping output`
+Blocked (use bash instead): capture-pane, save-buffer, show-buffer, pipe-pane.`

src/tools/look-at/constants.ts

@@ -1,10 +1,3 @@
 export const MULTIMODAL_LOOKER_AGENT = "multimodal-looker" as const
 
-export const LOOK_AT_DESCRIPTION = `Analyze media files (PDFs, images, diagrams) that require visual interpretation.
-
-Parameters:
-- file_path: Absolute path to the file to analyze
-- goal: What specific information to extract (be specific for better results)
-
-This tool uses a separate context window with Gemini 2.5 Flash for multimodal analysis,
-saving tokens in the main conversation while providing accurate visual interpretation.`
+export const LOOK_AT_DESCRIPTION = `Analyze media files (PDFs, images, diagrams) via Gemini 2.5 Flash in separate context. Saves main context tokens.`