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Create a series of stories

create_stories

Create a SERIES of stories, one per media, in the order given: media_uuids is ordered, so the first media becomes the first story. With scheduled_at (ISO 8601 UTC) and interval_minutes, each story is scheduled in cascade — ten media starting at 10:48 with a two-minute interval give 10:48, 10:50, 10:52 and so on. Without scheduled_at the stories are created as drafts. Only for networks that support stories: Instagram, Instagram Direct, Facebook Page, Facebook (extension). An account on any other network is refused rather than turned into a disguised feed post. Thirty stories maximum per call. — FR : crée une série de stories, une par média, en cascade si scheduled_at et interval_minutes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
captionsNoTexte optionnel par story, dans le même ordre que media_uuids. Une seule valeur = appliquée à toutes.
account_idsYesIDs des comptes cibles (issus de list_accounts). Seuls Instagram, Instagram Direct, Facebook Page et Facebook (extension) sont acceptés.
media_uuidsYesUUIDs des médias, DANS L'ORDRE de publication souhaité (via upload_media_from_url). Une story par média.
scheduled_atNoHeure UTC ISO 8601 de la PREMIÈRE story. Absent = brouillons.
workspace_uuidYes
interval_minutesNoMinutes entre deux stories (défaut 2). Minimum 1 : deux stories à la même minute partiraient dans un ordre non garanti.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations only cover the generic write/safety profile, so the description carries the real behavioral load and does: cascade timing math with a worked example, draft fallback when scheduling is omitted, hard 30-story cap, and an explicit refusal policy for unsupported networks. These are the traits an agent cannot infer from annotations or schema.

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?

Front-loaded with the core behavior and the scheduling example, and every English sentence earns its place. The trailing French translation is a verbatim duplicate that adds length without new information, which keeps it off a 5.

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 should still frame the result and it does (scheduled stories vs. drafts, refusal semantics, cap). It stops short of saying what identifiers or payload a successful call returns, but for a six-parameter creation tool the behavioral coverage is close to sufficient.

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 already 83%, yet the description still adds meaning: it explains that `media_uuids` is ordered and one story is produced per media, and that `scheduled_at`/`interval_minutes` operate as a cascade from a first timestamp. It does not restate the caption cardinality or the interval default in the English text.

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?

States a specific verb and resource ('Create a SERIES of stories, one per media, in the order given') and immediately distinguishes it from a feed-post sibling by asserting that unsupported networks are 'refused rather than turned into a disguised feed post'. An agent can tell this apart from create_draft_post without opening either schema.

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?

Explicit conditions are given: with `scheduled_at` + `interval_minutes` you get cascaded scheduling, without it you get drafts, capped at thirty stories per call. It also enumerates the accepted networks. It never names an alternative tool for the refusal case, so it stops short of full routing guidance.

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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