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Glama

update_channel_settings

Update channel settings and Channel DNA to align future videos with creative direction. Modify context, name, description, aspect ratio, language, or visual style.

Instructions

Update channel settings or Channel DNA (channelContext).

Whenever you research new content or adjust the channel's creative direction, update the channelContext here to keep all future videos aligned with the channel DNA.

Args: channel_id: Channel UUID or slug. channel_context: Updated Channel DNA instruction. name: Updated channel name. description: Updated channel description. aspect_ratio: '9:16' or '16:9'. language: 'tr' or 'en'. visual_style_id: Preset visual style UUID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
languageNo
channel_idYes
descriptionNo
aspect_ratioNo
channel_contextNo
visual_style_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It does disclose a meaningful behavioral effect: updating channelContext keeps all future videos aligned with the channel DNA. However, it does not clarify whether null fields mean 'leave unchanged', whether the update is reversible, or what side effects occur beyond future alignment.

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?

The description is well-structured: a direct opening statement, one useful usage sentence, then a clear Args list. Nothing is redundant, though the Args list is somewhat long because there are seven parameters.

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

Completeness4/5

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

For a 7-parameter mutation tool with no annotations and no schema descriptions, this description covers purpose, usage, parameter meaning, and downstream effect. An output schema exists, so return values need not be explained. The main remaining gap is update semantics for null/omitted fields, but overall the agent has enough to call it correctly in most cases.

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

Parameters4/5

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

Schema description coverage is 0%, but the Args list compensates by covering all 7 parameters with useful meaning. It adds concrete constraints such as 'Channel UUID or slug', allowed aspect ratios, allowed languages, and 'Preset visual style UUID', going beyond the bare schema property names.

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?

The description opens with a specific verb and resource: 'Update channel settings or Channel DNA (channelContext)'. It clearly identifies what is modified and distinguishes itself from sibling tools like update_series_settings by focusing on channel-level settings and DNA.

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

Usage Guidelines4/5

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

The description gives an explicit trigger: 'Whenever you research new content or adjust the channel's creative direction, update the channelContext here'. This tells the agent when the tool is appropriate. It does not explicitly mention alternatives or exclusions, but the context is clear enough.

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