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producer_help

Access help topics for AI Producer Hub workflows, covering generation, mixing, streaming, and examples.

Instructions

Get help for AI Producer Hub workflows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNoHelp topic (overview, generation, mixing, streaming, examples)overview

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden, and it discloses nothing explicit about behavior (e.g. that it is a safe read-only lookup returning documentation). For a help tool the behavioral surface is inherently small, which keeps this at a minimum-viable 3 rather than lower.

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

Conciseness4/5

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

A single front-loaded sentence with no wasted words, which suits a simple help-lookup tool. It is terse to the point of adding almost no information, but nothing is bloated.

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

Completeness3/5

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

With one optional parameter fully documented in the schema and an output schema present, the description need not explain return values, so coverage is nearly adequate. However, it never indicates what the help covers or how to use the returned guidance, leaving the definition thin for even a simple tool.

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

Parameters3/5

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

Schema description coverage is 100% and the topic parameter's allowed values (overview, generation, mixing, streaming, examples) plus its default are already documented in the schema. The description adds no meaning beyond that, so the baseline 3 applies.

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

Purpose4/5

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

States a specific verb and resource ("Get help for AI Producer Hub workflows"), so an agent can tell this is a documentation/lookup tool rather than a production action. It lacks any sibling differentiation, but no sibling tool serves a comparable help function, so disambiguation is not really needed.

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

Usage Guidelines2/5

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

There is no guidance on when to invoke this versus other tools, nor any mention of prerequisites or when help is most useful. The intent is implied by the name alone, but nothing in the text routes the agent.

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