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taptap

TapTap Open API MCP Server

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by taptap

get_current_app_reviews

Retrieve reviews for the selected app with sort, pagination, collapsed filter, and platform filter to inspect before liking or replying.

Instructions

PREREQUISITE: An app MUST be selected first. List reviews for the currently selected app only. Use this before like/reply actions so the user can inspect the review list and confirm the target review_id. Supports sort, pagination, collapsed reviews, and platform filter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fromNoPagination start offset. Default: 0.
sortNoReview sort mode. Default: "new".
limitNoPage size. Default: 10, max: 10.
is_collapsedNoWhether to query collapsed reviews.
filter_platformNoOptional platform filter.
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It correctly implies a read-only operation via the name and context, but does not explicitly state safety or output details. However, it adds useful behavioral context about supporting sort, pagination, collapsed reviews, and platform filter.

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?

Two sentences, front-loaded with the critical prerequisite, every sentence adds value. No fluff.

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?

The description covers the main workflow context and parameter intent. However, since there is no output schema, a brief note about the return format would improve completeness, but the current description is still adequate for selection and invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3. The description adds value by summarizing the parameter groups (sort, pagination, collapsed, platform filter) and tying them to the workflow, which is helpful beyond the raw schema.

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?

The description clearly states the verb 'List' and the resource 'reviews for the currently selected app', distinguishing it from sibling tools like 'reply_current_app_review' or 'like_current_app_review'.

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

Usage Guidelines5/5

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

Explicitly states the prerequisite 'An app MUST be selected first' and the recommended context 'Use this before like/reply actions so the user can inspect the review list and confirm the target review_id', providing clear when-to-use guidance.

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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