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Get Brand Context

get_brand_context
Read-onlyIdempotent

Returns everything that shapes content: brand voice and visuals, personas, pillars, angles, markets, buyer questions and KPI targets. Call it before drafting or reviewing. Does not change anything. Related: update_brand_profile, save_strategy_item, get_channel_rules.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
anglesYes
appUrlYes
marketsYes
pillarsYes
profileYes
personasYes
kpiTargetsYes
buyerQuestionsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so 'Does not change anything' largely restates structured data. The description adds scope (what corpus is returned) but nothing about auth, caching, or freshness that the annotations don't cover.

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 tight sentences, front-loaded with the return scope followed by the call trigger and a related-tools pointer. No filler.

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?

An output schema exists, so return-value detail is not required, and the description supplies the return scope plus a usage trigger. For a zero-param, read-only tool this is close to complete, with only alternative differentiation missing.

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?

Zero parameters, so the baseline is 4. The description usefully characterizes the returned data domains, adding context about what the no-arg call yields.

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 and enumerates the domains returned (brand voice, visuals, personas, pillars, angles, markets, buyer questions, KPI targets), which is concrete. The 'Related' line names sibling tools but does not say how this differs from them, so it stops short of full sibling differentiation.

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?

Gives an explicit trigger: 'Call it before drafting or reviewing.' That is clear actionable context. It has no when-not guidance or explicit alternative-selection rules, keeping it just below a 5.

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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