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SiteCheck Shop & Social

Ecommerce Takealot South Africa

ecommerce_takealot_south_africa
Read-only

Takealot.com (South Africa) product search from the JSON API the Takealot website uses: product ID (PLID), title, brand, price or price range in ZAR, list price, saving badge, star rating, review count, stock status, delivery estimate, image and product URL, plus the total result count. Up to 36 products per call. Unofficial endpoint, may change without notice. Price: $0.002 in USDC per successful call, paid with x402 (Base, Solana or Arc); failed calls are not charged.

Input Schema

NameRequiredDescriptionDefault
qYesSearch words, e.g. iphone, air fryer (required, 2-80 chars)
sortNorelevance (default), price_low, price_high, rating or newest

Output Schema

NameRequiredDescriptionDefault
qNo
sortNo
countNo
totalNo
sourceNo
currencyNo
productsNo
checkedAtNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior5/5

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

Goes well beyond the readOnly/openWorld annotations: it discloses that the endpoint is unofficial and may break without notice, the exact price ($0.002 USDC) and payment rails (x402 on Base/Solana/Arc), and that failed calls are free. Those are precisely the operational facts an agent needs before committing to a paid call.

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?

Front-loads the retailer and operation, then compresses cost/limits/reliability into one short trailing sentence. The long enumeration of return fields is somewhat redundant given an output schema exists, but it reads as a single efficient sentence.

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

Completeness4/5

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

Covers cost, payment mechanism, reliability caveat, and result cap — the things an agent can't get from the schema or annotations. Return-field details are already available via the output schema, so repeating them is mildly wasteful but harmless; nothing required for a correct call is missing.

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 coverage is 100% and both parameters are documented in-schema with examples and sort values, so the description need only clear the baseline. It adds no further meaning about `q` syntax or how `sort` interacts with the results.

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

Purpose5/5

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

States a specific verb and resource — product search on Takealot.com South Africa — and names the exact underlying source (the JSON API the site itself uses). The retailer name alone distinguishes it from every sibling in the ecommerce family.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The domain is implied clearly enough that an agent knows this is the South African Takealot search, but there is no explicit when-to-use/when-not guidance and no mention of sibling alternatives (e.g. other regional retailers). The result cap of 36 per call hints at a practical limit but no pagination strategy is offered.

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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