PulseAugur
EN
LIVE 15:02:45

New study compares LLM agent tool discovery architectures

By PulseAugur Editorial · [1 sources] ·

A new study published on arXiv explores two architectures for tool discovery in LLM agents: Retrieve-then-Plan (RtP) and Plan-then-Retrieve (PtR). The research found that RtP is more effective for single-tool queries, while PtR excels with multi-tool queries, with a complexity-dependent crossover point. This finding holds across various retrieval budgets, registry sizes, and model families like Gemini 2.5 Flash and GPT-OSS 120B. The study also identified a 'stub-hallucination' failure mode in PtR and noted that PtR roughly doubles inference costs, making complexity-adaptive routing a promising direction. AI

IMPACT This research offers insights into optimizing LLM agent performance by adapting tool discovery strategies based on query complexity.

RANK_REASON The cluster contains a research paper detailing a study on LLM agent architectures. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New study compares LLM agent tool discovery architectures

How we ranked this

Signal score
1 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The cluster contains a research paper detailing a study on LLM agent architectures. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, model release
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
1 days old
Coverage has settled into its steady-state source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Michael Xu ·

    Plan or Retrieve First? A Scale Study of Tool Discovery Architectures

    Tool-augmented LLM agents discover relevant APIs from large registries before planning execution, yet finite context windows prohibit injecting all tool definitions into a single prompt. The dominant approach, which we term Retrieve-then-Plan (RtP), embeds the user query and retr…

RELATED ENTITIES

RELATED TOPICS