List my House AI designs
list_my_designsThe user's recent House AI designs (room redesigns, exteriors, paint and flooring previews), newest first, with image links.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | How many designs to return. |
list_my_designsThe user's recent House AI designs (room redesigns, exteriors, paint and flooring previews), newest first, with image links.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | How many designs to return. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds useful behavioral context beyond annotations: results are newest first and include image links, and it enumerates the kinds of designs returned.
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 a single efficient sentence that front-loads the core resource and immediately adds ordering and return-content details. There is no redundant or wasted text.
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 simple read-only list tool with one optional parameter and no output schema, the description gives enough context about what is returned, including categories, ordering, and image links. It could optionally mention default result count or pagination behavior, but the schema covers the limit mechanics.
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%, and the single limit parameter is already documented with default, minimum, and maximum values. The description does not add any parameter-specific detail beyond what the schema provides, so the baseline of 3 is appropriate.
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 that this returns the user's recent House AI designs, including room redesigns, exteriors, and paint/flooring previews, with newest-first ordering and image links. It is specific about the resource and return contents, though it does not explicitly contrast this retrieval tool with sibling creation tools like redesign_room or paint_walls.
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 provides no explicit when-to-use guidance, prerequisites, or alternatives. Usage is only implied by the tool name and the fact that it lists designs rather than creating them.
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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