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get_content_system

Read-only

Retrieve a brand's content design system, including voice attributes, tone shifts, vocabulary guidelines, grammar rules, content patterns, and inclusive language guidance for consistent brand messaging.

Instructions

Get a brand's content design system — voice attributes, tone shifts by context, vocabulary (use/avoid/never), grammar rules, content patterns for errors/empty-states/buttons/etc., and inclusive language guidance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesContent system ID (e.g. 'mailchimp', 'gov-uk', 'shopify-polaris', 'atlassian')
sectionNoReturn just one section. Default: all.
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so additional transparency is minimal. The description adds context about the returned content categories but does not disclose behavior beyond what annotations imply (safe read operation).

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 a single concise sentence that efficiently conveys the tool's purpose and content. It front-loads the key action ('get a brand's content design system') and enumerates components without unnecessary words.

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?

Given the absence of an output schema, the description partially compensates by listing the sections of the content design system. However, it does not specify the structure or format of the output, leaving the agent uncertain about what the response will look like.

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 coverage is 100%, with clear descriptions for both parameters. The description enhances understanding by listing example values for id and the full set of section options, adding meaning beyond the schema's enum list.

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 clearly states the tool returns a brand's content design system, listing specific components like voice attributes, tone shifts, vocabulary, grammar rules, content patterns, and inclusive language guidance. It distinguishes itself from siblings like get_content_principles or get_content_pattern by referencing the full system.

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 explicit guidance on when to use this tool versus alternatives. Siblings like get_content_principles, get_content_pattern, and list_content_systems exist, but the description does not explain how this tool differs or when to prefer it.

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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