Aperçu d’un design
get_design_previewImage PNG du vêtement personnalisé (chaque face marquée et gros plans), pour montrer le rendu au client avant qu’il ouvre le lien.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| design_id | Yes |
get_design_previewImage PNG du vêtement personnalisé (chaque face marquée et gros plans), pour montrer le rendu au client avant qu’il ouvre le lien.
| Name | Required | Description | Default |
|---|---|---|---|
| design_id | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare read-only, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds substantive value beyond that by disclosing the shape of the result (PNG, every face marked, plus close-ups), which is important because no output schema exists. It does not mention permissions or whether the preview is cached/expires, keeping it short of a 5.
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 efficient sentence that front-loads the output type before the intent. The trailing clause about the client link is slightly cryptic (does the preview become unavailable after the link opens?) but overall there is no waste.
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, the description supplies the essential missing piece – what the return looks like. The only real gap is the meaning of design_id, which leaves it just short of 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?
There is one required parameter, design_id, with 0% schema description coverage, and the description says nothing about it – no format, where to obtain it, or whether it is a design ID vs an order ID. With no annotation of field meaning anywhere, the description should have compensated and does not.
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 a specific resource (the personalized garment) and a specific output (a PNG image with each marked side and close-ups), so the agent knows exactly what will be produced. It is easily distinguished from the sibling tools (create_design, get_order_status, list_products), though the verb is nominal rather than an explicit 'get/render'.
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?
It gives a concrete usage context: showing the render to the client before they open the link. That is a clear 'when to use', but there are no explicit exclusions or named alternatives among the siblings.
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.