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NeuralVerge Business Intelligence

Newegg product reviews

run_newegg_products_reviews

Owner reviews for a Newegg product: rating, title, text, pros, cons, author, date and helpful votes. 1 point per returned record.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
productYesItem number or URL. e.g. N82E16820147903
max_itemsNoMax items (up to 500) Default: 10.
start_pageNoStarting page Default: 1.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.2/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden, and it does disclose one meaningful behavioral trait: the cost model ('1 point per returned record'), which indirectly tells the agent that max_items controls spend. It says nothing about pagination depth, rate limits, or whether reviews are returned newest-first.

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?

Two short sentences with the resource and fields front-loaded and no filler. The second sentence is a terse cost note that earns its place, though the first sentence is a comma-list that could be tighter.

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?

For a 3-parameter read tool with no output schema, listing the returned fields is genuinely helpful, but the absence of annotations plus no guidance on coverage limits or ordering leaves the agent guessing about result size and when this tool is the right choice among many review siblings.

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%, so product, max_items and start_page are already documented with examples and defaults. The description adds no syntax or format detail beyond the schema, and only indirectly relates to max_items via the point cost. Baseline 3 applies.

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

Purpose4/5

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

The description names a specific resource (owner reviews for a Newegg product) and enumerates the returned fields, so an agent can distinguish it from run_newegg_products (product details) and run_newegg_products_offers. It lacks an explicit retrieval verb, and the sibling differentiation is implicit rather than stated.

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 statement of when to use this tool versus the many sibling review tools (ebay_product_reviews, walmart_product_reviews, etc.) or versus run_newegg_products. Usage is only inferable from the name and the field list.

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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