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Nexscope Ecommerce Data MCP

TikTok Intelligence KD: livestream/detail API

nexscope_data_kd_livestream_detail

TikTok Intelligence KD: livestream/detail API.

Input Schema

NameRequiredDescriptionDefault
regionNoRegion/market code, such as `US`; maximum length 1000
currencyNoCurrency unit, such as `USD`
languageNoReturn language, for example `zh-CN`, `en-US`
dateRangeNoTime range, such as `last7Day` (last 7 days), `last30Day` (last 30 days); maximum length 1000
livestreamIdYesTarget live broadcast unique ID, such as `7661409374878878494`, usually `livestream_id` from the list; maximum length 1000

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.2/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false and openWorldHint=true, which is surprising for a 'detail' lookup and demands explanation the description never gives (no mention of auth, rate limits, or side effects). The description adds no behavioral context at all, leaving a tension between the 'detail' naming and the non-read-only annotation unaddressed.

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 a single fragment that restates the tool name and title verbatim, so no sentence earns its place. Brevity here reflects under-specification rather than disciplined concision.

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?

With five parameters, no output schema, and annotations that flag a non-read-only, open-world operation, the description should explain what data is returned and what the call costs or requires. None of that is present, so an agent lacks the context needed to invoke it 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% with all five parameters documented (livestreamId, region, currency, language, dateRange), so the schema carries parameter meaning entirely. The description contributes nothing beyond it, which is the baseline for full coverage.

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 essentially the title repeated — 'TikTok Intelligence KD: livestream/detail API' — which only weakly implies fetching details for a livestream via the path segment 'livestream/detail'. It states no verb like 'retrieve' and does not distinguish this from siblings such as nexscope_data_kd_livestream_rank or nexscope_chuhaijiang_tiktok_live_detail.

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 when-to-use guidance, no prerequisites, and no naming of alternatives, despite many near-neighbour tools (kd_livestream_rank, tiktok_livestream_analytics, chuhaijiang_tiktok_live_detail) that an agent must choose between. The only implied usage comes from the name itself.

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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