Get an example DESIGN.md
get_example_designThe DESIGN.md Siteprint exported from one example scan: exact colours, type, spacing, corners and layout as a design direction for new UI.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
get_example_designThe DESIGN.md Siteprint exported from one example scan: exact colours, type, spacing, corners and layout as a design direction for new UI.
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description goes beyond that by describing the shape of the returned artifact (concrete design tokens rather than a summary or link), which is valuable given there is no output schema. It stops short of saying how large/verbose the document is or how an invalid id behaves.
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?
A single front-loaded sentence that lists the concrete fields rather than padding. Dense but readable; 'Siteprint' is internal jargon that costs a little clarity.
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?
For a one-parameter read tool with no output schema, describing the returned token set is the right move and partly covers the return value. However, the id semantics and the routing decision versus list_example_designs are left unresolved, so the definition is adequate rather than complete.
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?
One required parameter with 0% schema description coverage beyond an enum of four values. The description only weakly implies the parameter by saying 'one example scan', giving no hint that id is one of linear/stripe/ramp/cal or what those represent. It does not fully compensate for the coverage gap.
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?
States a specific verb+resource: it fetches the DESIGN.md 'Siteprint' produced by one example scan, and enumerates the design tokens it contains (colours, type, spacing, corners, layout). It does not explicitly contrast itself with list_example_designs, so an agent must infer that this retrieves one artifact while the sibling enumerates them.
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?
There is no when-to-use guidance, no prerequisite, and no mention of the obvious alternative (call list_example_designs first to discover valid ids). The phrase 'as a design direction for new UI' hints at the use case but never states it as guidance.
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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