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meta-mcp

threads_reply

Reply to Threads posts or replies with text or media. Text-only replies publish in a single API call; media uses a two-step flow.

Instructions

Reply to a Threads post or another reply. Text-only replies publish in a single API call by default (auto_publish_text=true); media replies always use the two-step create-then-publish flow. image_url and video_url are mutually exclusive — provide at most one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesReply text
image_urlNoOptional image HTTPS URL to attach. Mutually exclusive with video_url.
video_urlNoOptional video HTTPS URL to attach. Mutually exclusive with image_url.
reply_to_idYesPost ID to reply to
auto_publishNoWhen true (default) and the reply is text-only (no image_url/video_url), combine container creation and publishing into a single API call via auto_publish_text=true — one HTTP request instead of two, and no risk of the 4279009 'container not propagated yet' race. Ignored for media replies. Set to false to force the legacy two-step flow for text replies.
Behavior4/5

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

Annotations indicate readOnlyHint=false (modifying), openWorldHint=true (creates), but provide no detail on flows. The description adds critical behavioral context: auto_publish behavior, the two-step requirement for media, and the race condition warning. This goes beyond annotations, though it could mention auth or rate limits.

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, front-loaded with purpose, then key behavioral details. Every sentence earns its place with zero redundancy. Highly concise and structured.

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?

For a tool with 5 parameters, 2 required, no output schema, the description covers the core reply functionality and the two distinct flows. It lacks details on return values or error cases, but given the tool's relative simplicity and the schema richness, it is adequately complete.

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?

Schema coverage is 100% with decent descriptions, but the tool description provides extra context: the interaction between auto_publish and media type, the mutual exclusivity reminder, and the race condition note. This adds value beyond the schema, justifying a 4.

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 begins with a clear verb+resource combination: 'Reply to a Threads post or another reply.' It distinguishes from sibling tools like threads_get_replies (fetching) and ig_reply_to_comment (Instagram). The mention of text-only vs media flows further clarifies purpose.

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?

The description explains when to use the single-step flow (text-only) vs two-step flow (media) and notes mutual exclusivity of image_url/video_url. However, it does not explicitly state when not to use this tool or compare directly to sibling publishing tools like threads_publish_text, which might cause confusion for agents.

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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