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Threads User Posts

threads_user_posts
Read-only

Get a Threads (Meta) user's recent posts by username. Returns post text, engagement metrics, media, link previews, timestamps, permalinks and whether each post is pinned. Billed $0.006 per request.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
usernameYesThreads username, with or without leading @ (max 100 characters)
get_sentimentNoAdd AI sentiment analysis (Plutchik emotions, dominant_emotion, intensity, and positive/negative/neutral polarity) to each result. Adds a small surcharge per page, or per request on single-request endpoints.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / get_sentiment / description
      Previous value: -"Add AI sentiment analysis (Plutchik emotions, dominant_emotion, intensity, and positive/negative/neutral polarity) to each result. Adds a small per-page surcharge."New value: +"Add AI sentiment analysis (Plutchik emotions, dominant_emotion, intensity, and positive/negative/neutral polarity) to each result. Adds a small surcharge per page, or per request on single-request endpoints."
  2. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. The description adds real value beyond that by disclosing the return contents (text, engagement metrics, media, link previews, timestamps, permalinks, pinned status) and the billing rate of $0.006 per request, which an agent needs for cost-aware selection.

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?

Two sentences, zero padding, with the core purpose front-loaded and the return/billing details trailing. Every clause earns its place.

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

Completeness4/5

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

With no output schema, the description usefully enumerates the returned fields and discloses per-request cost. It is complete enough to call correctly, though it omits pagination behavior and any hint about how many posts constitute 'recent'.

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 both parameters (username, get_sentiment) are fully documented in the schema itself. The description only restates 'by username' and adds no format or semantic detail beyond it, so the 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?

The description gives a specific verb and resource ('Get a Threads (Meta) user's recent posts by username'), which clearly separates it from profile-oriented siblings like threads_user_profile. It does not explicitly name alternatives, but the resource scope is unambiguous enough for an agent to select it over search_threads or threads_user_profile.

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 explicit when-to-use guidance and no mention of alternatives. The scoping phrase 'recent posts by username' implies the use case, but nothing tells the agent when to prefer threads_user_profile or search_threads instead.

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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