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Apify MCP server schema handling causes AI agent errors

By PulseAugur Editorial · [1 sources] ·

A developer discovered a discrepancy in how the Apify MCP server handles input schemas for AI agents. The server's tools/list endpoint marks fields with defaults as optional, while the tools/call endpoint rejects calls that omit these fields due to validation errors. This inconsistency can cause AI agents to fail when interacting with Apify Actors, even if the fields have default values. The developer found this issue in a significant portion of their own Apify Actors and proposes a fix by removing the 'required' flag for fields that already have defaults, simplifying the schema and preventing agent rejection errors. AI

IMPACT This issue could lead to unreliable AI agent interactions with services that use the Apify platform, requiring developers to adjust their schemas.

RANK_REASON The item discusses a specific technical issue and proposed fix within a platform's API for developers, rather than a new product release or major industry event.

Read on dev.to — MCP tag →

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

Apify MCP server schema handling causes AI agent errors

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24 / 100
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Tool
The item discusses a specific technical issue and proposed fix within a platform's API for developers, rather than a new product release or major industry event.
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Single-source cluster
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product, infra
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Timothy Kelvin ·

    AI agents were told my inputs were optional, then rejected for leaving them out 🤖

    <p><em>One word in 29 config files: <code>required</code>. Every field it guarded already had a default.</em></p> <p>Hi! I'm Tim, a self-taught developer in Nairobi. I build small data tools that run as Apify Actors, serverless jobs that people pay for per result. 100 of them are…

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