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Nexscope Ecommerce Data MCP

Reverse Product Image Search

nexscope_reverse_product_image_search

Runs the server-side image-search and enrichment workflow without exposing local file paths or intermediate artifacts.

Input Schema

NameRequiredDescriptionDefault
sortNoOptional provider sort mode.
topNNoMaximum number of ranked matches to return after enrichment.
imageUrlYesPublicly accessible product image URL.
amazonDomainYesAmazon marketplace domain.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The phrase 'without exposing local file paths or intermediate artifacts' does add real behavioral context beyond the annotations: no local file access, no artifact handoff, public URL assumed. However, it says nothing about cost/latency of the provider call, ranking or enrichment semantics, or why readOnlyHint is false for what looks like a search — with sparse annotations, more disclosure was warranted.

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 tight sentence with no filler and no repetition of the title, which is good structure. It is efficient but under-informative rather than padded.

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

Completeness3/5

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

Parameters are fully covered by the schema and annotations give a rough safety/open-world profile, but with no output schema the description should have said what comes back (ranked Amazon products with enrichment fields). Given dozens of overlapping image-search siblings, the missing disambiguation is a meaningful gap.

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?

Schema description coverage is 100% (imageUrl, amazonDomain, sort, topN all documented with examples), so the schema carries parameter meaning. The description adds nothing, such as how sort mode interacts with the enrichment ranking or how topN affects enrichment cost; baseline 3 applies.

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?

The description names a 'server-side image-search and enrichment workflow', so the general action is discernible, but it never states that results are Amazon product matches ranked by similarity. With near-identical siblings such as nexscope_amazon_search_by_image, nexscope_seo_reverse_image_results and nexscope_1688_search_by_image, the absence of any differentiation leaves the agent guessing.

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 guidance on when to pick this tool over the many other image-search siblings, no prerequisites, and no stated exclusions. The only implied constraint is that the image be a public URL, which is already in the schema, not the description.

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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