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Moonscroll

get_audience_patterns

Get pattern analysis for an audience. pattern_type is required (one of: type, format, structure, categories, main_topic, content_angle, tone, audience, language, hook_type, hook_phrase, hook_visual, cta_type, cta_style). Optional upload_timeframe, more_than_one_video, show_other_options, sort.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNo
pattern_typeYesPattern type to analyze. One of: type, format, structure, categories, main_topic, content_angle, tone, audience, language, hook_type, hook_phrase, hook_visual, cta_type, cta_style.
audience_hashYes
upload_timeframeNo
show_other_optionsNo
more_than_one_videoNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It says nothing about what 'pattern analysis' returns, how results are aggregated, permissions needed, or what the optional flags change — a significant gap for a 6-parameter analytical tool.

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

Conciseness3/5

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

It is short and front-loads the core action, but the enumerated pattern_type list duplicates the schema verbatim and the trailing parameter list adds no explanatory value. Efficient in size, weak in information density.

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

Completeness2/5

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

With no annotations, low schema coverage, and an output schema that covers return values, the description still fails to explain what the optional filters do or how pattern analysis should be interpreted — substantial gaps remain for an analytical tool.

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

Parameters2/5

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

Schema description coverage is only 17%, so the description should compensate. It names the optional parameters (upload_timeframe, more_than_one_video, show_other_options, sort) but gives no meaning or value semantics for any of them, and the pattern_type enum values it lists merely duplicate the schema.

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 ('Get pattern analysis') and resource ('an audience'), which is clearer than the sibling get_audience. However, it does not distinguish itself from get_audience_highlights or explain how 'pattern analysis' differs from a plain audience fetch, leaving some ambiguity among siblings.

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?

No guidance on when to use this tool versus get_audience, get_audience_highlights, or list_audiences. It only notes that pattern_type is required, with no conditions, prerequisites, or exclusions provided.

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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