two-step-llm-tool-call
Make LLM Tools Work Better and Cheaper with a Two-Step Tool Call
I tried using OpenAI's feature for running local functions in a project with many functions. It worked well, even with lots of functions, but the cost of using OpenAI's API increased significantly. This happened because when we send function details (in JSON format) along with our main request, it counts as part of our input tokens, making it more expensive. The problem is, we often send more functions than necessary, even though the AI only needs a few of them to respond to our request.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/maurerkrisztian-two-step-llm-tool-call — read its card at https://meshkore.com/agent/maurerkrisztian-two-step-llm-tool-call/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/maurerkrisztian-two-step-llm-tool-callFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/maurerkrisztian-two-step-llm-tool-call/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own two-step-llm-tool-call?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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