Skip to main content
Glama

captapi

by io.github.CDCStream
OverviewDiscussionsAdmin

tiktok_shop_user_showcase

Creator Shop showcase — affiliate shelf products with per-product sold, rating, typed discount, and seller name/url. Costs ~45 credits (2.25/result). Empty results and failures are never charged. Pass cache=true for a free 24h cache hit (default always fresh).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cacheNoSet true to serve from the 24h response cache (0 credits on hit). Default false — always fetch fresh.
limitNoMax items to return (default 20, max 200). Billed per result.
usernameYesTikTok username, @handle, or profile URL, e.g. jeffreestar or https://www.tiktok.com/@jeffreestar.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / cache / description
      Previous value: -"Set true to serve from the 24h response cache (0 credits on hit). Default false — always fetch fresh. Envelope includes cached + cachedAt on hits."New value: +"Set true to serve from the 24h response cache (0 credits on hit). Default false — always fetch fresh."
  2. Changed2 schema fields changed
    • changedInput schema / properties / cache / description
      Previous value: -"Set true to serve from the 24h response cache. Default false — always fetch fresh data."New value: +"Set true to serve from the 24h response cache (0 credits on hit). Default false — always fetch fresh. Envelope includes cached + cachedAt on hits."
    • changedInput schema / properties / limit / description
      Previous value: -"Max items to return. Default 20, max 200. Billed per result."New value: +"Max items to return (default 20, max 200). Billed per result."
  3. Changed1 schema field changed
    • changedInput schema / properties / username / description
      Previous value: -"TikTok username, @handle, or profile URL, e.g. hydrojug or https://www.tiktok.com/@hydrojug."New value: +"TikTok username, @handle, or profile URL, e.g. jeffreestar or https://www.tiktok.com/@jeffreestar."
  4. Changed1 schema field changed
    • changedInput schema / properties / username / description
      Previous value: -"TikTok username with or without @."New value: +"TikTok username, @handle, or profile URL, e.g. hydrojug or https://www.tiktok.com/@hydrojug."
  5. Changed1 schema field changed
    • changedInput schema / properties / cache / description
      Previous value: -"Responses are cached for 24 hours by default. Set false to bypass the cache and always fetch fresh data (default true)."New value: +"Set true to serve from the 24h response cache. Default false — always fetch fresh data."
  6. Changed1 schema field changed
    • addedInput schema / properties / cache
      Added value: +{
+  "description": "Responses are cached for 24 hours by default. Set false to bypass the cache and always fetch fresh data (default true).",
+  "type": "boolean"
+}
  7. Added

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description takes on behavioral disclosure: it specifies credit cost, per-result billing, free empty/failure results, and cache semantics. This is substantial and useful. It does not mention auth, rate limits, or output format, but for a read-style fetch these are minor gaps given the disclosure already provided.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tight sentences: product scope, cost/billing, and cache behavior. No filler, every sentence adds value, and the primary purpose is front-loaded.

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?

For a 3-parameter tool with no output schema and no annotations, the description covers purpose, return fields, cost, cache, and failure billing. It lacks explicit return-shape and pagination detail, but the schema provides limit and the description's field list is enough for an agent to understand what to expect.

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 covers 100% of parameters, so baseline is 3. The description reiterates the cache behavior and implies limit affects billing, but does not add new meaning beyond the schema for username or limit.

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 identifies the resource as a Creator Shop showcase and enumerates what it returns: per-product sold, rating, typed discount, and seller name/url. This distinguishes it from more generic TikTok shop tools, though it lacks an explicit retrieval verb and direct comparison to sibling shop tools.

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 description implies the use case — fetching a TikTok user's Creator Shop affiliate showcase — but gives no explicit when-to-use vs alternatives guidance. Among many tiktok_shop_* siblings, it does not name tiktok_shop_products or tiktok_shop_search as alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All captapi toolsInspect
Try in Browser
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources