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MahbbRah

SocialDispatch MCP Server

by MahbbRah

generate_social_content

Generates platform-tailored social media post drafts for Facebook, Instagram, and X from a topic, idea, or link, with selectable tone and optional URL.

Instructions

Generate platform-tailored social media post drafts for Facebook, Instagram, and X (Twitter) from a topic, idea, or link using SocialDispatch AI copywriting engine.

Input Schema

NameRequiredDescriptionDefault
toneNoTone of voice for the copy (default: engaging)
topicYesThe core topic, announcement, or rough draft notes to turn into social posts
linkUrlNoOptional URL link to include in the generated copy

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

No annotations exist, so the description carries the full burden. It usefully discloses that output is drafts (not published posts) and that copy is tailored per platform by an AI engine, but it omits how many drafts are returned, whether they are per-platform variants, and any auth or rate-limit behavior.

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?

A single front-loaded sentence with no filler; the platforms and inputs are packed in without redundancy.

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

Completeness3/5

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

With no annotations and no output schema, the description should explain what comes back (one draft per platform? character-limit awareness?) and that nothing is posted. It covers the what and the inputs adequately but leaves the return shape and non-publishing guarantee underspecified.

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 schema already defines topic, tone (with enum), and linkUrl. The description restates topic/link sources but adds nothing about tone selection or default behavior beyond what the schema declares, so 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?

States a specific verb (generate) and resource (social media post drafts), names the three target platforms and the input sources (topic, idea, link). The word 'drafts' implicitly separates it from publish_social_post and generate_and_publish_post, though no sibling is named explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage context is implied by 'drafts' and 'from a topic, idea, or link', so an agent can infer this comes before publish_social_post or schedule_social_post. However, there is no explicit when-to-use/when-not statement, no mention of generate_and_publish_post as the one-shot alternative, and no prerequisites given.

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