Skip to main content
Glama

TokConnect: TikTok Research

comment_replies

Read the replies to one comment, paginated. Pass a commentId from video_comments.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoHow many replies to return, 1-50. Defaults to 20.
cursorNoPagination cursor. Defaults to 0.
aweme_idYesThe video's id.
comment_idYesThe comment's id, from video_comments.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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 discloses pagination, which is useful, but does not state authorization needs, rate limits, whether replies are nested or flat, or any mutation (it is read-only). For a read tool with no annotations, this is adequate but not rich.

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 short sentences, front-loaded with the core action and followed by the required parameter source. No wasted words.

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?

Given 4 parameters with full schema coverage, no output schema, and no annotations, the description covers the essential call pattern and pagination. It could add more about return shape or auth, but it is sufficient for an agent to invoke correctly.

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%, so the schema already documents count, cursor, aweme_id, and comment_id. The description adds the required sourcing of comment_id from video_comments, which is valuable procedural context but does not add format or constraint details beyond the schema. Baseline 3 applies.

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 states a specific verb and resource ('Read the replies to one comment') and ties itself to the sibling video_comments by referencing commentId from that tool. An agent can distinguish this from video_comments without inspecting schemas.

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

Usage Guidelines4/5

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

It clearly indicates the context of use ('Pass a commentId from video_comments') and its role as a dependent read after fetching a comment. It does not explicitly state when not to use it (e.g., instead of fetching top-level comments), but the workflow is clear.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources