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Nexscope Ecommerce Data MCP

TikTok Commerce Intelligence CJ: creators/rankings/agencies API

nexscope_data_cj_creators_rankings_agencies

TikTok Commerce Intelligence CJ: creators/rankings/agencies API.

Input Schema

NameRequiredDescriptionDefault
pageNoPage number, minimum 1
sortNoSorting conditions
countryYesLower case country code
categoryNoOrganization classification
pageSizeNo1–20 items per page

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.8/5.0
Behavior1/5

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

Annotations (readOnlyHint=false, openWorldHint=true) are the only behavioral signal; the description adds no context about what frontier this queries, what data is returned, whether a country/category combination narrows results, or any quota/pagination behavior. It also doesn't clarify why a read-style ranking endpoint is marked readOnlyHint=false.

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

Conciseness2/5

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

It is one short sentence, so nothing is bloated, but brevity here comes from under-specification rather than efficiency — the single sentence conveys no information an agent does not already get from the title and schema.

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

Completeness2/5

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

For a 5-parameter, open-world data query with no output schema, the description should at minimum say what entities are ranked, on what metric, and what a page of results contains. None of that is present, leaving the agent unable to use the tool confidently.

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 description coverage is 100%, and the description adds nothing beyond the schema, so the baseline of 3 applies. Note the schema itself is thin (e.g. 'sort' has no allowed values, 'category' says only 'Organization classification'), leaving the agent guessing.

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

Purpose2/5

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

The description is a verbatim restatement of the title: 'TikTok Commerce Intelligence CJ: creators/rankings/agencies API.' It names a resource path but never states what the tool actually does or returns (a ranked list of TikTok creator agencies?). This is essentially tautology against the title.

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

Usage Guidelines1/5

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

No when-to-use, when-not-to-use, or alternative guidance is given, despite close siblings nexscope_data_cj_creators_rankings_commercial and nexscope_data_cj_creators_rankings_growth plus nexscope_data_cj_creators_search. An agent has no way to know why it would pick the 'agencies' ranking over the commercial or growth rankings.

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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