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AI tool discovery should end with verifiable results, says API.market creator

Shashank Agarwal, creator of API.market and CEO of Noveum AI, proposes a structured approach to tool discovery in AI workflows. He argues that the discovery process should conclude with verifiable proof of a successful outcome, rather than just identifying a suitable tool. Agarwal suggests defining the desired result before initiating the search, rigorously testing candidate tools with bounded, permitted operations, and meticulously comparing the actual output against the task contract. This method aims to make failures informative and ensure that the selected tool genuinely meets the task's requirements. AI

IMPACT Suggests a more rigorous approach to evaluating AI tools, potentially improving workflow reliability and reducing errors.

RANK_REASON The item is an opinion piece by an industry figure about best practices for AI tool discovery.

Read on dev.to — MCP tag →

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

AI tool discovery should end with verifiable results, says API.market creator

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The item is an opinion piece by an industry figure about best practices for AI tool discovery.
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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Shashank Agarwal ·

    Tool Discovery Should End With a Checkable Result

    <p>Finding a plausible tool is an intermediate result. A useful workflow ends with evidence that the selected operation produced the requested outcome.</p> <p><strong>Quick answer:</strong> Define the expected result before discovery. Review the candidate's inputs, output semanti…