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
This commit is contained in:
YeonGyu-Kim
2025-12-17 00:38:38 +09:00
committed by GitHub
parent cdde8da7ba
commit 715756b68a
4 changed files with 10 additions and 70 deletions
+3 -21
View File
@@ -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.`