Skip to main content
Glama
pauloFroes

mcp-meta-inbox

by pauloFroes

List Posts

list_posts
Read-only

Fetch published Facebook posts or Instagram media with engagement data. Use the returned post ID to moderate comments via list_comments.

Instructions

List published posts on the Facebook Page, or media on the linked Instagram account. Returns each post's ID, caption/message, timestamp and engagement counts. Use the returned ID with list_comments to moderate its comment thread.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoItems per page (default: 25)
fieldsNoComma-separated fields. Defaults differ per platform: Facebook uses id,message,created_time,permalink_url,comments.summary(true); Instagram uses id,caption,timestamp,permalink,media_type,comments_count,like_count.
platformNoWhich surface to list.facebook
max_pagesNoPages to auto-follow (default: 1)
Behavior4/5

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

Annotations already provide readOnlyHint, openWorldHint, destructiveHint. The description adds value by specifying return fields, platform-specific defaults, and 'auto-follow' pagination behavior. No contradictions.

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?

Three sentences, all essential: purpose, return values, and usage guidance. No fluff. Front-loaded with the main action.

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?

For a tool with 4 parameters and no output schema, the description covers return values, platform differences, and a sibling tool reference. It lacks explicit pagination details beyond 'auto-follow', but annotations compensate for safety.

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 the parameters are well-documented. The description does not add new semantic meaning beyond repeating 'Items per page' and 'Pages to auto-follow' which are already in the 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 it lists published posts on Facebook Page or media on Instagram account, specifies returned fields (ID, caption/message, timestamp, engagement counts), and distinguishes from sibling tool list_comments.

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?

The description provides a clear follow-up action ('Use the returned ID with list_comments to moderate its comment thread'), implying context for use. It does not explicitly list exclusions, but the guidance is adequate.

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/pauloFroes/mcp-meta-inbox'

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