Skip to main content
Glama

compose_post

Write one platform-native post from an idea, grounded in the Brain (the workspace's, unless brain_id names another). Draws one AI generation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ideaYes
brain_idNo
platformNox

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / platform / default
      Added value: +"x"
    • addedInput schema / properties / platform / enum
      Added value: +[
      +  "bluesky",
      +  "devto",
      +  "discord",
      +  "facebook",
      +  "farcaster",
      +  "linkedin",
      +  "mastodon",
      +  "pinterest",
      +  "reddit",
      +  "slack",
      +  "telegram",
      +  "threads",
      +  "wordpress",
      +  "x"
      +]
  2. First observed

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description must carry behavioral disclosure. It usefully states that the tool 'Draws one AI generation' and that the post is grounded in the Brain unless brain_id names another, but it does not clarify whether the resulting post is persisted, published, or returned as a draft, nor does it describe permissions or side effects.

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 two tightly written sentences with no filler. The core action is front-loaded, and the Brain-grounding and AI-generation details are compactly appended.

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

Completeness2/5

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

For a content-generation tool with no output schema and no annotations, the description is too thin. It omits what the tool returns, whether the composed post is saved or merely generated, and how platform selection interacts with the output.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It explains brain_id well ('the workspace's, unless brain_id names another') and implies the idea parameter, but it does not explain the platform parameter's enum options or its default of 'x', leaving a meaningful gap.

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 names a specific verb and resource: 'Write one platform-native post from an idea.' It distinguishes content composition from siblings like publish_now, schedule_post, and plan_week by framing the action as writing a single post, but it does not explicitly name alternatives.

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, no when-not-to-use guidance, and no mention of alternatives such as schedule_post or publish_now. The agent must infer that this tool is for drafting a post from an idea rather than scheduling or publishing it.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources