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vlsky2603

thedailyworkflow-mcp

by vlsky2603

build_custom_pipeline_url

Generate a prefilled URL for a custom AI workflow pipeline when no existing solution is found. Enter your task description to open the Pipeline Builder with preconfigured steps.

Instructions

For a custom task (no existing pipeline matches), get a deep link to the Pipeline Builder on thedailyworkflow.com.

The builder composes a step-by-step pipeline from 15000+ AI tools with ready-to-paste prompts. The MCP server doesn't run it directly — it returns the prefilled URL where the user can run it.

Args: task: Description of what the user wants to accomplish. Example: "create a YouTube channel with bedtime stories using AI for video and voice". lang: "en" or "ru" (default "en").

Returns: Dict with builder_url (open this in browser), task (echoed), and a note explaining what happens.

Use this when search_pipelines returns no good match. ALWAYS call search_pipelines first to check for existing solutions before suggesting the builder.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
taskYes
langNoen
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Discloses that the MCP server does not run the pipeline directly but returns a prefilled URL. Covers the key behavioral trait without contradiction, though minor missing details like auth or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Concise and well-structured: opening purpose, builder explanation, args, returns, usage guidance. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (2 params, no output schema), the description covers all needed context: when to use, what it returns, and what the builder does. No gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema coverage, description fully explains parameters: task with example, lang with allowed values and default. Adds substantial value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Clearly states the tool creates a deep link to the Pipeline Builder for custom tasks. Distinguishes from sibling by specifying it's only when no pipeline matches.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly says when to use (no match from search_pipelines) and instructs to always call search_pipelines first.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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