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

Annotations declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description doesn't need to repeat safety. The description adds the behavior of matching against 12 systems and providing the closest match, which is valuable beyond annotations. However, it does not disclose specifics like how 'closest match' is determined or potential variations, which is a minor gap given no output schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, concise and front-loaded with the primary action. It includes a concrete example and hints at the output. No redundant phrasing; each sentence adds value. Slightly verbose with the 'Matches against 12...' detail could be trimmed but overall efficient.

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

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

Given the tool has 3 parameters, full schema coverage, and annotations (readOnly, idempotent), the description covers the essential purpose and provides examples. It doesn't explain return values, but there is no output schema and annotations suggest a safe read operation. The mention of 'implementation instructions' and ready-to-use CSS gives a good sense of what to expect. A minor gap is not specifying limitations of the 12 systems, but it's adequate.

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

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

Schema description coverage is 100%, so the schema already documents all three parameters. The description adds context about the overall purpose and mentions the company (e.g., Spotify) but does not add detailed meaning for 'mode' or 'format' beyond what the schema provides. The description could elaborate on default behaviors or how format affects output, but it meets the baseline for full coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves a complete design system for a specified company (e.g., Spotify) and returns token set, style guide, and CSS. It distinguishes from siblings like get_design_system and get_brand_principles by focusing on 'branding like a specific company' and providing ready-to-use CSS, though it could be more explicit about sibling differences.

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

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

The description gives an example of when to use it ('Make me an app with branding like Spotify') and mentions it matches against 12 known systems, implying the use case. It doesn't explicitly state when NOT to use it or mention alternatives like get_design_system, but the context is clear enough for an agent to infer suitable scenarios.

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