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ig-studio-mcp

ig-studio-mcp

by Luffy610

get_publishing_limit

Read-only

Checks remaining Instagram API publishing quota for the rolling 24-hour window. Use it before publishing or after a daily-limit error to review usage, total, and remaining posts.

Instructions

Check how many posts the account can still publish through the API in the rolling 24 hours.

Use before publishing, or when a publish fails with a daily-limit error.

Returns: quota_usage (posts published via the API in the window), quota_total, quota_duration_hours and remaining.

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
remainingNo
quota_totalNoMaximum posts per window
quota_usageYesPosts published through the API in the window
quota_duration_hoursNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds useful behavioral context: the quota is API-specific, uses a rolling 24-hour window, and returns quota_usage, quota_total, quota_duration_hours, and remaining.

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 front-loaded with the core purpose, followed by usage guidance and return fields. Every sentence adds useful information without repetition or filler.

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

Completeness5/5

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

For a no-parameter, read-only quota check with an output schema, the description is complete. It explains what the tool checks, when to call it, and what the response contains, while annotations cover the read-only behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, so there are no parameter semantics to explain. The baseline for a no-parameter tool is 4, and the description does not need to compensate for missing schema details.

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 states a specific verb and resource: checking how many posts the account can still publish through the API in a rolling 24-hour window. It clearly distinguishes this quota-checking tool from sibling publishing tools such as publish_image and publish_carousel.

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?

It gives explicit usage contexts: before publishing, or after a publish fails with a daily-limit error. It does not name alternatives or when-not-to-use cases, but the intended timing is clear.

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