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inyogeshwar

Meta Social Technologies MCP Server

by inyogeshwar

get_facebook_posts

Fetches recent posts from the Facebook Page In.yogeshwar with a configurable limit, so AI agents can retrieve page content for analysis or workflows.

Instructions

Fetch recent posts published on the Facebook Page In.yogeshwar.

Input Schema

NameRequiredDescriptionDefault
limitNoMax number of posts to fetch (default: 5).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
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 does disclose that the target page is fixed (no page selector needed) and that posts are returned in recency order, which is real behavioral context, but it says nothing about pagination, rate limits, or result shape.

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?

One front-loaded sentence with no filler and the key scoping fact (the specific page) placed immediately. It is efficient, though its brevity borders on under-specification rather than tightness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read tool with no annotations and no output schema, the description covers who and what but omits anything about the shape or ordering of returned posts beyond the word 'recent'. Adequate to invoke, thin on expectations.

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% and the sole parameter (limit, default 5) is fully documented in the schema. The description adds no syntax or default detail beyond that, so baseline 3 applies.

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?

States a specific verb (fetch) and resource (recent posts) and pins the target to a named Facebook Page, so the agent knows exactly what data comes back. It does not compare itself to platform-sibling reads like get_instagram_media or get_threads_posts, but the platform distinction is self-evident from the name.

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?

There is no when-to-use guidance, no mention of alternatives, and no stated prerequisites. The agent must infer it is a read-only retrieval for the fixed page, and nothing tells it what to do if zero posts exist or when to prefer another tool.

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