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price-tracker-mcp

Server Details

Product price checks and affiliate link building for AI shopping agents.

Ownership verified
Status
Healthy
Uptime
98.8% over 40 days
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

B3.2/5.0

Scored across 2 tools

Disambiguation5/5

The two tools are clearly distinct: one reads a product page's current price, the other constructs an affiliate tracking link. There is no meaningful overlap or risk of misselection.

Naming Consistency5/5

Both names follow a consistent verb_noun pattern (check_price, make_affiliate_link) with snake_case throughout. Predictable and readable.

Tool Count3/5

Two tools is thin for a server branded as a price tracker; the surface feels like a minimal utility rather than a scoped domain toolkit. Each tool earns its place, but the set is borderline undersized.

Completeness2/5

Core price-tracking operations are missing: no persistent tracking, price history, alerts, or list/remove tracked products. The surface only covers a one-off price check and affiliate link generation, leaving significant lifecycle gaps.

Available Tools

2 tools
check_priceCheck Product PriceC
Read-only
Inspect

Check the current price of a product page.

NameRequiredDescriptionDefault
urlYesThe http(s) product page URL. Private/loopback hosts are rejected.

Output Schema

NameRequiredDescription

No output parameters

TDQS

C2.9/5.0
Behavior2/5

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.

Conciseness4/5

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.

Completeness3/5

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.

Parameters3/5

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.

Purpose4/5

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.

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 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.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 2 tool updates
    • First observedcheck_price
    • First observedmake_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
Trust center
Not available
Restrictions
Pay-per-call pricing after a free monthly tier (50 credits/month); optional Pro plan available. · Publisher source

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