Cartograph: Federated Tool Discovery with Operator-Attested Retrieval for AI Agents

arXiv:2609.30293 · cs.CL, cs.AI · Submitted 2026-09-13 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-13

Updated: 2026-09-13

Code: https://github.com/a2aproject/A2A

Terminology

• Benchmark — 21× in this paper · explained in 2 episodes
• Embeddings — 8× in this paper · explained in 2 episodes
• AI Agents — 6× in this paper · explained in 2 episodes
• Model Context Protocol — 6× in this paper
• Provenance — 5× in this paper · explained in 4 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Clustering — 4× in this paper · explained in 2 episodes
• Progressive Disclosure — 4× in this paper · explained in 2 episodes
• Model Context Protocol (MCP) — 3× in this paper · explained in 8 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 2× in this paper
• Knowledge Graph — 2× in this paper · explained in 7 episodes
• Massive Text Embedding Benchmark — 2× in this paper
• Benchmarking — 1× in this paper · explained in 3 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• Mean Reciprocal Rank — 1× in this paper
• Multi-Agent System — 1× in this paper · explained in 6 episodes

Sources

• SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval
• A Study on the MCP x A2A Framework for Enhancing Interoperability of LLM-based Autonomous Agents
• From Glue-Code to Protocols: A Critical Analysis of A2A and MCP Integration for Scalable Agent Systems
• Improving Google A2A Protocol: Protecting Sensitive Data and Mitigating Unintended Harms in Multi-Agent Systems
• Gorilla: Large Language Model Connected with Massive APIs

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