Skip to main content
Glama
SocialAPIsHub

SocialAPIs MCP Server

Official

facebook_get_post_comments

Retrieve top-level comments from any Facebook post or reel with pagination support for browsing through large volumes of comments.

Instructions

Retrieve top-level comments from a Facebook post or reel with pagination

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
linkYesFacebook post or reel URL
end_cursorNoPagination cursor for next page of comments
include_reply_infoNoWhen "true", includes comment_feedback_id and expansion_token for fetching replies
Behavior2/5

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

With no annotations, the description carries full burden. It mentions pagination and the optional include_reply_info field but omits key behavioral traits: read-only assumption, authentication needs, error handling, rate limits, or return structure. The description hints at top-level vs replies but lacks explicit disclosure.

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

Conciseness4/5

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

Single sentence of 11 words, no redundancy. For a simple tool with 3 parameters, this is appropriately concise. Could incorporate more context without becoming verbose.

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?

Given no output schema and no annotations, the description should provide more complete context. It omits return format, error scenarios, authentication, and rate limits. For a straightforward tool, it is mildly insufficient.

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 coverage is 100%, so baseline is 3. The description adds context by explaining that include_reply_info provides IDs for fetching replies, but does not elaborate on link format or end_cursor usage beyond the schema.

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 clearly states the action ('Retrieve') and resource ('top-level comments from a Facebook post or reel'), with mention of pagination. It differentiates from sibling tools like facebook_get_comment_replies by specifying 'top-level', though not explicitly naming alternatives.

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?

No guidance on when to use this tool versus alternatives, such as facebook_get_comment_replies. No prerequisites, limitations, or recommended contexts are provided.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/SocialAPIsHub/mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server