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baguskto

Enterprise Threads MCP Server

by baguskto

analyze_best_posting_times

Find the optimal posting times for Threads content based on AI analysis of past engagement. Specify timezone, content type, and analysis period to receive tailored recommendations.

Instructions

AI-driven analysis of optimal posting times based on engagement

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
timezoneNoTimezone for recommendations (e.g., "America/New_York")
content_typeNoContent type to analyze
analysis_periodNoHistorical data period for analysis
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It is minimal and does not explain output format, whether it returns recommendations or raw data, or how the analysis period affects results, leaving significant behavioral ambiguity.

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 sentence with no redundant words, making it concise and front-loaded. It is appropriately sized for the tool's simplicity, though it could be slightly more informative without losing economy.

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?

The tool has no output schema, and the description does not explain the return value or how recommendations are presented. It also doesn't clarify the role of optional parameters or provide examples. Given the many sibling analytics tools, this is insufficient context for an agent to reliably invoke the tool.

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 descriptions cover all three parameters (timezone, content_type, analysis_period) at 100% coverage. The description adds no additional parameter semantics, so the baseline of 3 is appropriate; the schema already provides the necessary parameter meaning.

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's function: analyzing optimal posting times based on engagement. It uses a specific verb ('analysis') and resource ('optimal posting times'), distinguishing it from other analytics tools like engagement trends or content performance, though it doesn't explicitly name alternatives.

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 usage guidance is provided. The description does not specify when to use this tool versus other analytics tools, nor does it mention any prerequisites or recommended contexts, leaving the agent without direction on selection.

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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