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lanternrow

facebook-pages-mcp

by lanternrow

get_post_comments

Retrieve paginated comments on a specific Facebook post, returning author, timestamp, like count, and reply count.

Instructions

Retrieve paginated comments on a specific post, including author, timestamp, like count, and reply count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
afterNoPagination cursor for the next page of comments.
limitNoNumber of comments to return (1-100, default 25).
post_idYesThe Facebook Post ID to retrieve comments for.
Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It mentions pagination but does not elaborate on cursor usage or whether there is a next page indicator. The description does not explicitly state it is read-only, though that is implied.

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?

The description is a single, front-loaded sentence with no unnecessary words. It efficiently conveys the tool's action and key information.

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 the 3 parameters, lack of output schema, and no annotations, the description is fairly complete. It explains the purpose and returned fields. However, it could be improved by adding pagination behavior details (e.g., how to get next page).

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 coverage is 100%, with parameter descriptions covering syntax. The description adds value by listing returned fields (author, timestamp, like count, reply count), which goes beyond what the schema provides.

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 'Retrieve', the resource 'comments on a specific post', and lists returned fields (author, timestamp, like count, reply count). This distinguishes it from sibling tools like get_published_posts or get_post_insights.

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?

The description provides no explicit guidance on when to use this tool versus alternatives, nor when not to use it. The context is only implied by the tool name and purpose.

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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