product-price-extractor
Server Details
Extract product names, prices, and currency from any e-commerce product page in one call.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- Repository
- DataLeadsPRO/product-price-extractor
- GitHub Stars
- 0
- Server Listing
- product-price-extractor
TDQS
Scored across 2 tools
The two tools, 'price_track' and 'product', both relate to product pricing but their boundaries are unclear from the minimal descriptions. An agent would struggle to know whether to call 'product' for price data or 'price_track' for product data.
'price_track' follows a noun_verb pattern while 'product' is a bare noun, showing no consistent naming convention. The lack of a shared verb or noun structure makes the tool set feel disjointed.
With only two tools, the server feels thin for a product-price-extractor domain. The count is borderline but not extreme enough for a lower score, as a minimal extractor could theoretically operate with just these two functions.
The tools do not clearly cover an extraction lifecycle; there is no obvious way to list, search, or extract price history in a structured manner. The minimal descriptors suggest significant gaps that would force agents to guess or work around missing functionality.
Available Tools
2 toolsprice_trackDInspect
V1 Price Track
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | ||
| maxTimeout | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must disclose behavioral traits such as read/write nature, side effects, or return formats. It contains none of this, offering only the phrase 'V1 Price Track', which conveys no behavioral information.
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 under-specified to the point of being a mere label. It is not concisely structured but rather omits all substantive content, providing no useful information in a compact form.
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?
With no output schema, no annotations, and only two undocumented parameters, the description is completely inadequate for an agent to understand how to invoke or interpret the tool. Nothing about expected behavior, return values, or constraints is provided.
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 does not mention the 'url' or 'maxTimeout' parameters at all. There is no explanation of their meaning, format, or relationship, so the description fails to add any semantic value beyond the bare schema.
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 'V1 Price Track' is essentially a tautology that restates the tool name without any action verb or resource. It does not specify what the tool does, such as retrieving, monitoring, or updating price information, nor does it distinguish from the sibling 'product'.
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?
There is no guidance on when to use this tool versus the sibling 'product'. The description provides no context about scenarios, prerequisites, or alternatives, leaving the agent without any basis for tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
productDInspect
V1 Product
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | ||
| maxTimeout | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, and the description provides zero behavioral information. An agent cannot know whether this is a read or write operation, what side effects exist, or what the tool returns.
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 short but is under-specified rather than concise. It contains no substantive information that would help an agent select or invoke the tool.
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?
With no output schema, no annotations, two undocumented parameters, and a near-empty description, the definition is completely inadequate for correct tool invocation.
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 0% for the two parameters, url and maxTimeout. The description does not explain what url represents, how maxTimeout behaves, or how they relate to the tool's purpose.
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 is 'V1 Product', which is a version label, not a statement of function. It contains no verb or resource and does not help an agent distinguish this tool from sibling price_track. This is a tautology of the tool name.
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?
There is no guidance about when to use this tool or when to prefer price_track instead. No context, prerequisites, or exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
- First observed
price_track - First observed
product
Related MCP Connectors
Clean product data from any URL. Schema.org + AI extraction. 200 free calls/month.
Extract structured pricing tiers and addons from any SaaS pricing page URL. Built for AI agents.
Extract and structure pricing pages from any SaaS site: plans, tiers, and features.
11Amazon search and product extraction: titles, prices, ASINs, and listings as clean JSON.
21
Related MCP Servers
- AlicenseAqualityBmaintenanceStructured product data from the open web — where platform APIs don't reach. Schema.org + AI extraction. Pay per call via Stripe MPP.241 npm3Apache 2.0
- FlicenseNot gradedqualityBmaintenanceExtracts and structures pricing pages from any SaaS site, including plans, tiers, and features.-
- AlicenseAqualityAmaintenanceEnables web scraping, structured data extraction, and screenshot capture with automatic anti-bot bypass, supporting JavaScript rendering, proxy rotation, and tiered pricing.2598 npm1MIT
- -licenseNot gradedqualityCmaintenanceExtract structured data from any website with a simple SDK call. No scraping code, no headless browsers - just prompt and get JSON.62-
Glama MCP Gateway
Add one secure layer between your agents and this server.