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Delimit Social Post

delimit_social_post

Publish AI-drafted social posts to Twitter/Reddit, or queue them for email-based human approval before publishing.

Instructions

Post to social media (Twitter / Reddit) (Pro).

When to use: when the AI drafts a social post, it MUST call this immediately (auto-trigger rule). Email approval flow handles human review. When NOT to use: just to generate (use delimit_social_generate) or to inspect history (delimit_social_history).

Sibling contrast: delimit_social_generate is draft-only; delimit_social_approve manages the queue; this is the actual post path.

Side effects: when draft=True, queues for delimit_social_approve. Otherwise posts via the social backend. Subject to rate cap: 2 original posts per hour, 24 per day (founder-approved 2026-04-30). Override via DELIMIT_HOURLY_TWEETS / DELIMIT_DAILY_TWEETS env. Sends approval email with the registry_draft_id for inbox-daemon matching.

IMPORTANT - AUTO-TRIGGER RULE: When the AI drafts a social post, it MUST call this tool immediately. Never ask "want me to send this?" — just call the tool. The email-based approval flow handles human review.

Categories: tip, changelog, insight, engagement. Leave text empty to auto-generate from templates. Every post provides value - tips, insights, governance wisdom. Rate cap: 2 original posts per hour, 24 per day (founder-approved 2026-04-30). Override via DELIMIT_HOURLY_TWEETS / DELIMIT_DAILY_TWEETS.

IMPORTANT - Platform tone rules (these are DIFFERENT per platform):

  • Twitter: confident technical brand. Direct, professional, ALWAYS POSITIVE. Celebrate wins and progress. Never complain or air gaps publicly. No em dashes or en dashes. Default to insight-first with no CTA unless source-grounded.

  • Reddit: helpful builder voice. Grounded, concise, never salesy. Default to no Delimit mention unless directly necessary and source-grounded. NO bullet points/lists/bold/em dashes. 2-3 sentences max.

  • LinkedIn: professional hook + insight + CTA

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textNoTweet text. Leave empty to auto-generate.
draftNoIf True, save as draft for approval instead of posting immediately.
accountNoTwitter handle (without @) to post from. Empty = default account.
contextNoWHY this post should be made. Strategic reasoning shown in the approval email.
categoryNoContent category for auto-generation.
platformNoSocial platform (twitter).twitter
reply_to_idNoTweet ID to reply to (creates a reply).
quote_tweet_idNoTweet ID to quote (creates a quote tweet).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. Addedv4.5.5

TDQS

A4.4/5.0
Behavior5/5

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

Discloses side effects (queuing when draft=True, immediate posting otherwise), rate caps with environment overrides, and approval-email behavior with registry_draft_id. Annotations only say readOnlyHint=false and destructiveHint=false, so the description adds substantial operational context. It does not contradict the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with headers and bullets, but it is overlong and repeats the rate cap and auto-trigger rule nearly verbatim. A leaner version would be easier to consume, though the key information is front-loaded.

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?

Covers when to use, when not to use, side effects, approval flow, rate caps, categories, and per-platform tone. The only material gap is the platform inconsistency between the prose ('Twitter / Reddit', LinkedIn rules) and the schema's twitter-only platform parameter; otherwise an agent has enough to invoke correctly.

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?

The input schema already covers all 8 parameters at 100%, so the baseline is 3. The description adds useful category values and auto-generation behavior, but its platform guidance (Reddit/LinkedIn tone rules) conflicts with the schema's platform parameter description ('Social platform (twitter)'), which keeps it from rising above baseline.

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?

Opens with 'Post to social media (Twitter / Reddit) (Pro)' — a specific verb and resource — and immediately contrasts with delimit_social_generate and delimit_social_history, so an agent can tell this is the actual posting tool. The sibling contrast removes ambiguity about what this tool is not.

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

Usage Guidelines5/5

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

Contains dedicated 'When to use' and 'When NOT to use' sections, names the alternatives (delimit_social_generate, delimit_social_history, delimit_social_approve), and encodes an explicit auto-trigger rule. This is unambiguous routing guidance beyond anything the schema provides.

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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