Read a design again
get_designA saved design: its page link, pictures, print sizes and price.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| design | Yes | The design id. |
get_designA saved design: its page link, pictures, print sizes and price.
| Name | Required | Description | Default |
|---|---|---|---|
| design | Yes | The design id. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=true and openWorldHint=false, so the safety profile is already covered. With no output schema, the description usefully discloses what comes back (page link, pictures, print sizes, price), which is real added context, but it says nothing about error behavior or what happens with an unknown id.
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 short sentence with no filler, and the field list is front-loaded. It is efficient, though the fragmentary style leaves the action implicit.
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 annotations and no output schema, the description covers the return fields, which is the main gap the schema leaves. It still omits when to prefer it over siblings and any failure/not-found behavior.
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?
The single parameter 'design' is fully documented in the schema as 'The design id.' with 100% coverage, so the schema carries the burden. The description adds no extra meaning about the id format or source.
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 names the resource (a saved design) and enumerates the fields it exposes (page link, pictures, print sizes, price), so an agent can infer it is a read of a design's details. However, it uses a noun phrase with no verb, and nothing distinguishes it from siblings like check_art or list_items.
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 statement of when to call this versus alternatives such as check_art or list_items, nor any prerequisite like needing a valid design id. Usage is only weakly implied by the returned field list.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.