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get_content_system

Read-onlyIdempotent

Retrieve a brand's content design system: voice attributes, tone shifts, vocabulary, grammar rules, content patterns, inclusive language. Provide content ID and optional section for focused guidance.

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. 'conversational-product-voice', 'gov-uk', 'shopify-polaris', 'atlassian')
sectionNoReturn just one section. Default: all.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv2.5.1
    • changedInput schema / properties / id / description
      Previous value: -"Content system ID (e.g. 'mailchimp', 'gov-uk', 'shopify-polaris', 'atlassian')"New value: +"Content system ID (e.g. 'conversational-product-voice', 'gov-uk', 'shopify-polaris', 'atlassian')"
  2. First observedv2.2.9

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is known. The description adds useful context about the content categories returned, but does not disclose return shape, whether the full object is returned by default, or what happens when the section parameter is used; these are partially covered by 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?

The description is a single focused sentence that front-loads the tool's primary purpose and then efficiently enumerates the content categories. There is no filler or repetition, and every clause adds relevant information.

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 simple read-only resource fetch, the description plus the annotated schema provide enough context to use the tool correctly. It might be slightly stronger with an explicit note that all sections are returned when no section is specified, but the section parameter's 'Default: all' already carries that information.

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?

Schema description coverage is 100%, with the id and section parameters already well documented, including the section enum and default. The description adds no significant extra parameter semantics beyond already enumerated by 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?

The description clearly names the resource being fetched: a brand's content design system, and goes beyond that by listing the exact components included (voice, tone shifts, vocabulary, grammar, content patterns, inclusive language). It does not explicitly differentiate from sibling tools like get_design_system, get_content_pattern, or get_content_principles, but the target is clear and specific.

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

Usage Guidelines3/5

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

The description implies when this tool should be used — when a caller needs content voice, vocabulary, grammar, or content-pattern guidance for a brand. However, it gives no explicit guidance about when not to use it or how it relates to siblings such as get_content_pattern or get_design_system.

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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