How to give an agent access to 200+ tools without blowing the context window.
11 min · Reviewed 2026
The premise
Loading every tool into the prompt is wasteful — retrieve only the tools the current task needs.
What AI does well here
Embed tool descriptions and retrieve top-k by query.
Group tools into bundles selectable by task type.
Cache the chosen toolset across multi-step tasks.
What AI cannot do
Guarantee the right tool is in the top-k for novel queries.
Replace a human-curated allowlist for high-risk tools.
Practice this safely
Use a small project example from your own work. The useful move is to compare the AI's draft against your goal, sources, and constraints before you trust it.
Ask AI to explain tool discovery in plain language, then underline anything that sounds uncertain or too broad.
Give it one detail from "Tool Discovery Strategies for Long-Lived Agents" and ask for two possible next steps plus one reason each step might be wrong.
Check retrieval over tools against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson check
10 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-agentic-agent-tool-discovery-strategies-creators
What is the main idea of "Tool Discovery Strategies for Long-Lived Agents"?
How to give an agent access to 200+ tools without blowing the context window.
Use AI as the final authority for the whole decision
Avoid checking the answer once it sounds polished
Focus only on speed instead of judgment
Which concept is most central to "Tool Discovery Strategies for Long-Lived Agents"?
retrieval over tools
tool discovery
tool catalogs
manifest
Which use of AI fits this topic best?
Guarantee the right tool is in the top-k for novel queries.
Let the AI decide what matters without your review
Embed tool descriptions and retrieve top-k by query.
Use the answer before checking whether it fits the situation
Which limitation should you watch for in this topic?
Embed tool descriptions and retrieve top-k by query.
Explain the topic in plain language
Organize a draft for human review
Guarantee the right tool is in the top-k for novel queries.
What should a careful learner remember about "Tool retrieval policy"?
Use AI to draft or organize ideas about tool discovery, then verify before acting.
Skip the context so the tool can guess faster
Treat the output as private even after sharing it online
Use the answer without checking the source
You want to use AI after this lesson. What is the safest next step?
Act immediately because the AI answer is written clearly
Use AI for drafting and comparison, but verify before publishing or relying on it.
Hide uncertainty so the final answer looks cleaner
Use private or sensitive details before checking permission
How should AI output about tool discovery be treated?
As proof that no other source is needed
As a replacement for context, consent, or expert review
As a draft or helper output that still needs human judgment and verification
As something that becomes correct when it sounds confident
Name one way to verify an AI answer about tool discovery.
Which action would help you apply "Tool Discovery Strategies for Long-Lived Agents" responsibly?
Replace a human-curated allowlist for high-risk tools.
Use the tool to avoid thinking through the tradeoff
Keep going even if the output conflicts with a trusted source
Group tools into bundles selectable by task type.
Which choice is a bad use of AI for this lesson?
Replace a human-curated allowlist for high-risk tools.
Embed tool descriptions and retrieve top-k by query.
Ask for a plain-language explanation of retrieval over tools
