Skip to main content
Glama
enis1998

YaparAI Enterprise MCP Server

by enis1998

get_social_analytics

Retrieve social media performance metrics including engagement, follower growth, reach, and impressions for specified platforms and time periods.

Instructions

Get social media analytics and performance metrics.

Returns engagement stats, follower growth, reach, and impressions for your social media accounts over a given time period.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformNoFilter by platform ("instagram", "facebook", "tiktok", "twitter")
account_idNoFilter by specific social account ID
periodNoTime period — "7d" (last 7 days), "30d" (last 30 days), "90d" (last 90 days)30d
org_idNoOrganization ID (uses YAPARAI_ORG_ID env var if not provided)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description should disclose behavioral traits. It mentions returned metrics but does not state read-only nature, authentication needs, rate limits, or data freshness. It provides some context but is not comprehensive.

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 two concise sentences, front-loaded with the main purpose, and each sentence adds value without redundancy.

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?

Given 4 optional parameters and presence of an output schema, the description explains the returned data but does not address pagination, error handling, or prerequisites (e.g., connected accounts). It is adequate but not fully complete.

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 overall context about returned data but does not add specific meaning to individual parameters beyond what the schema already 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 it gets social media analytics and lists specific metrics like engagement stats, follower growth, reach, and impressions. This distinguishes it from siblings like get_social_quota or list_social_posts.

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 does not provide any guidance on when to use this tool vs. alternatives such as list_social_posts or get_social_quota. It lacks explicit context for use cases or exclusions.

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/enis1998/yaparai-enterprise-mcp'

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