price-tracker-mcp
Server Details
Price-check product pages and build affiliate tracking links.
- Status
- Healthy
- Uptime
- 98.4% over 42 days
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
- ChatGPT
- –
- Claude
- –
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: checking a product price versus building an affiliate link. There is no meaningful overlap or risk of misselection.
Both names follow a consistent verb_noun pattern: check_price and make_affiliate_link. The convention is predictable and readable.
Two tools is thin for a server framed as a price tracker, though it is not necessarily excessive. It feels borderline rather than well-scoped.
The surface supports checking a price and creating an affiliate link, but a price tracker would normally need operations like tracking a product, retrieving price history, or setting alerts. These significant gaps limit lifecycle coverage.
Available Tools
2 toolscheck_priceCheck Product PriceCRead-onlyInspect
Check the current price of a product page.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | The http(s) product page URL. Private/loopback hosts are rejected. |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, openWorldHint=true, destructiveHint=false and idempotentHint=false, so the safety and network profile is covered. The description adds almost nothing beyond them: 'current' hints at a live fetch but never states that repeated calls may return different values (the meaning of idempotentHint=false) or what happens when no price can be extracted.
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?
One short sentence with no filler and the core action front-loaded. It is efficient, though the terseness comes at the cost of the behavioral detail noted elsewhere.
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?
An output schema exists, so the description is not obligated to explain return values, and annotations cover safety. Still, for an open-world scraping tool it leaves open whether unsupported pages or missing prices produce an error, and nothing about currency or regional price variation.
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?
The single url parameter is fully documented in the schema (100% coverage), including the private/loopback rejection rule, so the description need not repeat it. It adds no extra meaning such as acceptable URL formats or locale handling, which is the baseline expectation when the schema already carries the load.
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 verb ('Check') and resource ('current price of a product page'), which is enough for an agent to know exactly what the call does. It does not differentiate from the sibling make_affiliate_link, but that sibling is unrelated enough that confusion is unlikely.
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 versus alternatives, no mention of prerequisites, and no exclusions. The only scoping signal ('product page') comes from the noun phrase rather than deliberate instruction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
make_affiliate_linkBuild Affiliate LinkBRead-onlyIdempotentInspect
Build an affiliate tracking link for a product URL.
| Name | Required | Description | Default |
|---|---|---|---|
| tag | Yes | Your affiliate tag (letters/digits/dash/underscore, max 64 chars). | |
| url | Yes | The http(s) product page URL. | |
| program | No | 'amazon' (sets the tag parameter) or a custom query parameter name. | amazon |
Output Schema
| Name | Required | Description |
|---|---|---|
| result | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false and destructiveHint=false, so safety is covered. The description adds no behavioral context beyond the name — no mention of tag validation, error behavior, or what the generated link looks like; it does not contradict the annotations, but contributes nothing extra.
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?
A single front-loaded sentence with no waste, describing the core action immediately. It is arguably too terse to carry usage guidance, but on pure conciseness it is 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?
With a full output schema, comprehensive annotations, and 100% parameter coverage, the remaining burden on the description is small; it states the action and the input domain. Only the lack of usage routing and URL/tag validity expectations keeps it from a 5.
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 100%, so all three parameters (url, tag, program with its 'amazon'/custom-query-parameter semantics and default) are already documented. The description adds no parameter meaning beyond the schema, which is the baseline-3 case.
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?
Specific verb+resource: 'Build an affiliate tracking link for a product URL' clearly states what is produced. It does not, however, distinguish itself from the sibling check_price or explain how the link differs from a plain URL.
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?
The description gives no when-to-use guidance, no prerequisites (e.g., that a valid affiliate tag is required), and never mentions the sibling check_price or any alternative. Usage must be inferred entirely from the name.
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
check_price - First observed
make_affiliate_link
Publisher details
- Operator
- IOConnex. IOConnex builds pay-per-call MCP connectors and trust infrastructure for AI agents. · Publisher source
- Operator website
- https://ioconnex.dev
- Vendor relationship
- First-party
- Documentation
- https://ioconnex.dev
- Trust center
- Not available
- Restrictions
- Pay-per-call pricing after a free monthly tier (50 credits/month); optional Pro plan available. · Publisher source
Related MCP Connectors
Product price checks and affiliate link building for AI shopping agents.
Turn product links or queries into tracked links that can earn. Carts and search too.
Create geo-targeted affiliate smart links, pull analytics, and rewrite YouTube descriptions.
Affiliate programs, deals, tracked links and product search, plus merchant program setup tools.
Related MCP Servers
AlicenseNot gradedqualityAmaintenanceParse gun and ammo titles (model, caliber, cost per round); find GunsNPrices price comparison pages52 npmMIT- AlicenseAqualityAmaintenanceEnables an AI assistant to search affiliate product feeds from any network (Awin, Amazon, CJ, Impact, and others with deep links) and return buy links built with the user's own affiliate IDs, each shipped with a disclosure the assistant is told to show. Supports keyword search with price, currency, network and merchant filters, side-by-side comparison of products, sub-ID tagging of links, and validation of configured feeds before connecting an assistant.444 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables real-time multi-merchant price comparison, coupon stacking, delivery-speed trade-offs, stock volatility tracking, and optimal purchase routing for cross-platform commerce inventory arbitrage.7MIT
- AlicenseAqualityCmaintenanceEnables Claude Code to run live product searches, compare cross-retailer prices, check Amazon price history, surface community deals, and optionally cross-check finalists via Capital One Shopping, with every tool reporting its checked and skipped sources.8MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.