match_fabric_and_lighting
Harmonizes room wall paint and window sunlight exposure with manufacturer upholstery fabrics.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| wall_color | No | ||
| window_exposure | No |
Harmonizes room wall paint and window sunlight exposure with manufacturer upholstery fabrics.
| Name | Required | Description | Default |
|---|---|---|---|
| wall_color | No | ||
| window_exposure | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full behavioral burden. It implies a read-only harmonization or recommendation operation but does not disclose whether it queries a manufacturer catalog, what permissions or external dependencies are involved, or what the result contains.
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 definition is a single front-loaded sentence with no filler or repetition. It could be tightened by replacing 'Harmonizes' with a more direct verb, but it is structurally 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?
For a two-parameter matching tool with no annotations and no output schema, the description is too thin. It does not explain the recommendation output, catalog scope, or input value conventions, so an agent lacks enough context to invoke it confidently.
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 coverage is 0%, and the description only loosely maps 'wall paint' to wall_color and 'window sunlight exposure' to window_exposure. It does not specify accepted color formats, exposure scales or enums, or whether the inputs are free text, leaving both parameters underspecified.
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 action ('Harmonizes') and the elements being aligned: wall paint, window sunlight exposure, and manufacturer upholstery fabrics. It is clear this is a matching or recommendation tool, though it does not explicitly distinguish itself from siblings such as find_products_by_constraints or compare_products.
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?
No when-to-use, when-not-to-use, prerequisites, or sibling alternatives are stated. An agent can infer it is for fabric matching from the wall and lighting inputs, but routing versus other product-search tools is left unaddressed.
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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