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Nexscope Ecommerce Data MCP

Product Image Enhancement API

nexscope_product_image_enhancement

Improve product presentation quality in a single ecommerce image.

Input Schema

NameRequiredDescriptionDefault
imageUrlYesPublic URL of the product image to retouch. The image must be up to 20 MB and between 385 and 8192 pixels in both width and height.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations (readOnlyHint=false, openWorldHint=true) tell the agent this is a mutating, open-world call, and the description is consistent with that but adds nothing: it does not say whether an image is returned, whether the operation is synchronous or a task to poll, what gets altered, or what input constraints exist. The schema notes a 'retouch' operation and size limits, but the description never surfaces any of that.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single short sentence, front-loaded with the action and no padding. It is efficient, though the brevity comes at the cost of substance rather than from tight editing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutating image-generation tool with no output schema, the description should at minimum say what the enhancement changes and how the result is delivered. Neither is present, so an agent knows only that something about 'presentation quality' changes.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter exists and schema coverage is 100%, so the schema already documents imageUrl, its URL example, and the 20 MB / 385-8192 px constraints. Per the high-coverage baseline this is a 3; the description adds no extra meaning about the parameter.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

It names a verb ('Improve') and a resource ('product presentation quality in a single ecommerce image'), so the general intent is legible, but 'enhancement' is never specified as a concrete transformation (retouch, upscale, background/lighting correction). With dozens of adjacent image tools in the sibling list (whitebg_image, image_upscale, background_remover, smart_image_edit_manipulation_v3), an agent cannot tell what this one uniquely does.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use statement, no prerequisites, and no mention of any alternative tool. The phrase 'ecommerce image' implies a retail-product context but gives no selection criteria against the many sibling image-editing tools.

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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