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adhdvital

Enterprise Threads MCP Server

by adhdvital

get_enhanced_insights

Retrieve detailed Threads analytics for posts and users, including views, clicks, shares, and demographic breakdowns by country, city, age, or gender.

Instructions

Get advanced analytics including views, clicks, shares, and demographics

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNoISO 8601 start date
untilNoISO 8601 end date
periodNoTime period for insights
metricsNoMetrics to retrieve: views, likes, replies, reposts, quotes, shares, clicks, followers_count, follower_demographics
breakdownNoDemographic breakdown options
thread_idNoThread ID for media insights (optional for user insights)
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states 'get advanced analytics' without mentioning read-only nature, permissions, rate limits, response format, or any caveats. This is insufficient for transparent behavior.

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?

The description is a single concise sentence that front-loads the action 'Get advanced analytics'. It is efficient with no wasted words, though it could be more informative without becoming overly long.

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?

With 6 optional parameters, no output schema, and many sibling analytics tools, the description lacks essential context. It doesn't explain what makes these insights 'advanced', how they differ from simpler insights, or what response format to expect. This is a significant gap for tool selection.

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%, so the baseline is 3. The description adds no parameter-specific details beyond re-listing example metrics like 'views' and 'shares' that already appear in the schema. Thus, it provides minimal added value.

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 tool retrieves advanced analytics and provides concrete examples (views, clicks, shares, demographics). However, it does not differentiate from sibling analytics tools like get_engagement_trends or get_content_performance_report, and it leaves out explicit scope (user-level vs thread-level). Thus, it is clear but lacks sibling differentiation.

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 is given on when to use this tool versus the many sibling analytics tools. The description only states what it does, with no mention of scenarios, prerequisites, or alternatives. This leaves the agent without usage cues.

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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