A
licenseA
qualityB
maintenanceEnables coding agents to offload reading and summarizing multiple large files to a cheaper worker LLM, keeping full file contents out of the main agent's context.
1
13 npm
1
MIT
LLM Delegator
by shangzhihao
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TDQS
A3.6/5.0
Scored across 1 tool
Disambiguation5/5
With only one tool, there is no possibility of misselection or overlapping purpose. The single tool's intent (delegate a bounded task to a model) is unambiguous.
Naming Consistency5/5
The lone name 'delegate_task' follows a clean verb_noun snake_case convention. There is no opportunity for inconsistency within a single-tool surface.
Tool Count3/5
One tool is thin for any server, even a narrowly scoped delegation service; it earns its place but leaves the surface feeling minimal. A few companion operations (e.g. listing available models or checking delegation status) would round it out.
Completeness4/5
For a task-delegation domain, a single call that submits a task and returns the result covers the core lifecycle. Minor gaps exist around discovering available models (flash/pro are referenced but not enumerable) and no status/cancel path, though these are workable for a synchronous delegation model.
Maintenance
ActivityMaintained
ResponsivenessNo issues