Skip to main content
Glama

sociahive

update_autopilot_brand_kit

Set/update the Brand Kit grounding Autopilot's content (business name, what-you-do, audience, voice preset, banned words, pillars). Omitted fields keep their value; a missing kit is first seeded from the account bio, then your changes apply. Use when the user describes their brand/voice. Generates nothing itself.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
voiceNo
pillarsNo
audienceNo
voiceNoteNo
whatYouDoNo
bannedWordsNo
businessNameNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It reveals partial-update semantics ('Omitted fields keep their value'), the seeding behavior from the account bio when no kit exists, and the lack of side effects ('Generates nothing itself'). This is meaningful context beyond the schema.

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?

Three sentences with the main purpose front-loaded, followed by behavioral nuance and a usage trigger. Every sentence adds distinct value and there is no filler or repetition.

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 output schema, the description covers the core purpose, partial-update behavior, seeding, and usage trigger. The main gaps are the omission of voiceNote and lack of return-value/permission details, but these are not critical to invoking the tool correctly.

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?

The description maps most schema fields to plain-language concepts (business name, what-you-do, audience, voice preset, banned words, pillars) and adds the partial-update rule, which is essential for correct parameter usage. However, with 0% schema description coverage, it omits the voiceNote parameter entirely and does not explain individual field meanings beyond their 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 first sentence identifies the specific resource ('Brand Kit grounding Autopilot's content') and the action ('Set/update'), and lists the fields it manages. This clearly distinguishes it from sibling update tools like update_flow, update_node, and update_scheduled_post.

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: 'Use when the user describes their brand/voice.' It does not name alternative tools or state when not to use it, but the condition is clear enough for an agent to select this tool over flow/node/post update tools.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources