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Queue a draft post

create_draft

Save a post as a DRAFT in the user's posthell queue. It is never published by this tool - the user approves it in the dashboard. Optionally propose a publish time (pre-fills their scheduler) and limit which platforms it targets (default: every connected account).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesThe post text
platformsNoLimit to these platforms (default: all connected accounts)
proposedTimeNoSuggested publish time, ISO 8601. Only a suggestion - pre-fills the user's scheduler.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

With no annotations provided, the description carries the transparency burden. It discloses critical behavior: the post is never published, the user approves it in a dashboard, proposedTime only pre-fills the scheduler, and platforms default to all connected accounts. This is significant and useful, though it omits details like return values or error handling.

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 three sentences, each earning its place: the core action, the non-publishing caveat, and the optional parameters. It is front-loaded with the verb and resource, and there is no unnecessary detail.

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?

Given the tool's complexity (3 parameters, no output schema, no annotations), the description covers the essential workflow, defaults, and limitations. It could mention what the tool returns upon success or any prerequisites, but the provided context is sufficient for correct invocation.

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 the baseline is 3. The description adds little beyond the schema: it paraphrases the schema's notes about platforms defaulting and proposedTime being a suggestion. No additional semantic value is provided.

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 clearly states the tool's purpose: saving a post as a draft in the user's queue, explicitly noting it is never published. This distinguishes it from sibling tools like list_posts (read) and shape_post (edit) by highlighting the draft-and-approve workflow.

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 provides clear context for when to use this tool: when creating a draft that requires user approval, and clarifies that the tool does not publish. It does not explicitly name alternatives or exclusions, but the context is enough to differentiate from siblings.

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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TDQS

A4.2/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: creating drafts, retrieving growth analytics, listing posts, and shaping content. There is no functional overlap.

Naming Consistency4/5

All names follow a verb_noun pattern with underscores, but verbs vary (create, get, list, shape). The pattern is consistent, though 'shape_post' is less conventional.

Tool Count4/5

Four tools is slightly below average for a social media scheduling server but still covers core workflows. The count feels reasonable and not excessive.

Completeness4/5

Core operations (create draft, list posts, get analytics, generate content) are present. Minor gaps like update/delete drafts exist, but the tool set covers the primary use cases.

Resources