Letter2025
dsh-tool-search
Tool search & slimming for DeepSeek Harness: Hermes-style progressive disclosure — search, describe, and call long-tail tools on demand
- Stars
- 1
- Language
- TypeScript
- Created
- Aug 14, 2026
- Updated
- Aug 14, 2026
Introduction
dsh-tool-search
Tool search & slimming for DeepSeek Harness (DSH): Hermes-style progressive disclosure. When your tool catalog gets large (many MCP servers or plugin tools), every tool's JSON schema is injected into the model context on every turn — wasting tokens on tools the task never uses. This plugin collapses the long tail behind three bridge tools and lets the model discover and load them on demand through a configured rerank model.
- Core tools stay eager — file/shell/essential tools are always directly visible.
- Bridge tools —
tool_search,tool_describe,tool_callreplace the deferred schemas. - Tiered disclosure — the visible listing shrinks automatically as the catalog grows.
- Conversational setup — the bundled
tool-slimmer-setupskill groups your tools by talking to you, and guides configuring the rerank model. - User or project config — groups/matcher live in
~/.dsh/dsh-tool-search.json(global) or<workspace>/.dsh/dsh-tool-search.json(per project), your choice.
Install
dsh plugin --profile web add dsh-tool-search
How it works
Inspired by Hermes Agent's Tool Search. On every turn, the plugin's system-prompt/assemble listener computes the tier and replaces the model-visible tools:
| Tier | Condition | Model sees |
|---|---|---|
| 0 | Small catalog / nothing deferrable | Every tool, bridge absent |
| 1 | Grouped manifest fits the budget | Bridge + ## group name/description listing |
| 2 | Only names fit | Bridge + names-only listing |
| 3 | Even names overflow | Bridge + one line per group (name: count) |
Budget = min(thresholdPct% × contextWindow, listingMaxTokens), recomputed every turn. The manifest rides a runtime context, so it survives complete-prompt composition.
Dynamic injection: searching, describing, or calling a deferred tool warms it into the session's visible set (LRU-bounded by maxWarmTools), so its full schema is injected into the context for later turns — the model pulls tools into context on demand instead of keeping everything.
When tool_call runs, the plugin executes the real tool by name through ctx.tools.execute, so approvals, guards, and session events all reference the underlying tool — never the bridge. tool_search ranks with the configured rerank matcher and falls back to keyword matching (exact name > name tokens > description tokens) when no matcher is configured or the rerank call fails.
Setup (conversational)
Ask your agent:
帮我配置 dsh-tool-search 的工具分组
The tool-slimmer-setup skill will read the catalog, propose groups, confirm with you, ask whether the config should be global or per-project, and guide you through configuring the rerank matcher (required for tool_search and preload).
Configuration
Static tuning lives in your profile cordis.patch.yml (restart to change):
- id: tool-search
config:
enabled: auto # auto | on | off
thresholdPct: 5 # listing budget as % of context window
listingMaxTokens: 4000
configScope: auto # user | project | auto (project file wins when present)
core: [todo_write] # extra always-eager tools
maxWarmTools: 8 # LRU cap for dynamically injected tools
Tool groups, the matcher, and preload live in the runtime file (~/.dsh/dsh-tool-search.json for user scope):
{
"version": 1,
"scope": "user",
"groups": [
{ "name": "git", "tools": ["git_status", "git_diff"] },
{ "name": "mcp-github", "prefixes": ["mcp_github_"] }
],
"matcher": {
"endpoint": "https://dashscope.aliyuncs.com/compatible-mode/v1/rerank",
"apiKey": "sk-...",
"model": "qwen3-reranker",
"topN": 20
},
"preload": { "enabled": false, "topK": 5 },
"core": ["read_file", "write_file"]
}
groups: exact tool names and/or name prefixes; a tool belongs to the first matching group.matcher: an OpenAI-compatible/v1/rerankendpoint — the only matcher type.tool_searchreturns setup guidance until one is configured.preload: optional; when enabled (with a matcher), the session's first turn semantically preloads the top-K matching tools into the eager set.- The file is watched by mtime and hot-reloads; changes take effect on the next turn.
Bridge tools
| Tool | Purpose |
|---|---|
tool_search(query, limit?) | Search the deferred catalog (rerank, keyword fallback) and return ranked {name, description, group} matches; matches are injected into the visible context |
tool_describe(name) | Load the full schema of one deferred tool; the tool is injected into the visible context |
tool_call(name, arguments) | Invoke a deferred tool by real name; approvals/guards/events use the real tool; the tool is injected into the visible context |
Design notes & pitfalls
- Slimming only rewrites the model-visible surface (
system-prompt/assemble); the registry stays complete, so deferred tools remain executable. - The bridge, the two setup tools, and
skillare always eager and never defer themselves. - Keyword matching is only a fallback: rerank is the primary ranking; without a matcher or on rerank failure, search degrades to keyword matching (exact name > name tokens > description tokens) and never errors.
- See DESIGN.md for the full architecture.
Links
License
MIT