I Built a Tool-Calling Agent in Python. Here’s How I Debugged It

First seen Aug 5, 2026, 6:20 PM · latest Aug 6, 2026, 6:40 AM · free · no behavioral personalization

2Articles in sample

2Distinct publishers

0Wire-service items

0High-fact publishers

2 distinct publishers, one article each in this sample.

Ownership mix: Other: 2

What happened

A from-zero explanation of prompt chains, tool calling, and the Model Context Protocol, using three production LangGraph agents as worked examples, with a SWOT for every approach and an honest audit of which techniques…

2 publishers · 2 articles · switch to 1-minute for disagreement and framing.

What happened

Why the coverage differs

AI-assisted comparison · labeled · generated Aug 31, 2026, 5:16 PM · not a verdict

What happened: Prompt Chains, Tool Calling, and MCP: How AI Agents Do Things

Where coverage diverges: Center: 2 (Brandanthonymcdonald, Towards Data Science).

Comparison summary

AI-assisted · Cerebras / Llama · Aug 31, 2026, 5:16 PM · inspect sources below rather than trusting this alone

What happened: Prompt Chains, Tool Calling, and MCP: How AI Agents Do Things

Where coverage diverges: Center: 2 (Brandanthonymcdonald, Towards Data Science).

What's missing: AI bias-comparison is temporarily offline. Configure Cerebras in admin to enable rich comparison summaries.

How to read these numbers

Article count is not confirmation count. Wire rewrites and same-outlet follow-ups inflate totals. Prefer distinct publishers and primary links on each story page.

Report timeline

Oldest → newest among clustered members. Gaps may mean delayed pickup, not silence.

Aug 5, 2026, 6:17 PM

Brandanthonymcdonald · Center
Prompt Chains, Tool Calling, and MCP: How AI Agents Do Things
Aug 6, 2026, 6:30 AM

Towards Data Science · Center
I Built a Tool-Calling Agent in Python. Here’s How I Debugged It

Coverage by perspective

Perspective labels are external consensus ratings (AllSides / Ad Fontes / MBFC-style), not WeSearch truth scores. Center is not automatically more accurate.

Center · 2

Towards Data Science Center

I Built a Tool-Calling Agent in Python. Here’s How I Debugged It

A minimal loop with real API calls, validation, compact outputs, and trace evidence before adding an agent framework

Mixed Factuality · Other

Brandanthonymcdonald Center

Prompt Chains, Tool Calling, and MCP: How AI Agents Do Things

A from-zero explanation of prompt chains, tool calling, and the Model Context Protocol, using three production LangGraph agents as worked examples, with a SWOT for every approach a…

Mixed Factuality · Other

Headline framing

Vocabulary fingerprints · not a political endorsement

AI framing analysis temporarily offline. Configure Cerebras in admin to enable framing comparison.

Per-source framing

Center

Brandanthonymcdonald

Prompt Chains, Tool Calling, and MCP: How AI Agents Do Things

Center angle.

Center

Towards Data Science

I Built a Tool-Calling Agent in Python. Here’s How I Debugged It

Center angle.

Bias/ownership: published methodology on source profiles · AI text always labeled · no reader paywall · no engagement ranking of news · transparency · contribute Ws · home