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MelMayssonOwen

TimeToPost MCP server

Approve + schedule a draft (human gate)

approve_draft

Approve a pending draft after human review, then schedule it for live publication in one step, with optional edits and custom time.

Instructions

HUMAN GATE: approve a pending draft and schedule the real post in one step. Only call this when the human operator has reviewed the draft and told you to approve it — never approve autonomously. Optional edits: replacement segments and/or an explicit future scheduled_for (otherwise schedule_hint is resolved: "optimal" → the org's best-times model, fallback +2h). Multi-segment twitter drafts publish as a thread. CAPABILITY: publish — this can reach a LIVE AUDIENCE. A draft-scoped token gets a 403 here; a human must approve at timetopost.co instead.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
draft_idYes
segmentsNo
scheduled_forNoFuture ISO datetime override
Behavior5/5

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

The description adds significant behavioral context beyond annotations: it warns of reaching a live audience, explains schedule_hint resolution logic, notes 403 for draft-scoped tokens, and describes thread behavior for multi-segment drafts. No contradictions with annotations.

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 dense but well-structured, front-loading the critical human gate warning. Each sentence provides essential information without wordiness.

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?

The description covers safety, usage conditions, scheduling behavior, and token constraints thoroughly. The only gap is the lack of return value description, but given the mutation nature and no output schema, this is not a critical omission.

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?

The description explains that segments are optional replacement segments and scheduled_for is an explicit future override, adding meaning beyond the bare schema. While draft_id is not elaborated, it's self-evident. It compensates for the low 33% schema description coverage.

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 function: approving a pending draft and scheduling the real post in one step. It distinguishes from siblings by highlighting the human gate, the combination of approval+scheduling, and the special handling of multi-segment Twitter drafts as threads.

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?

Explicitly states when to use: only after human operator has reviewed and approved. Explicitly forbids autonomous approval. It also notes the alternative path (human must approve at timetopost.co for draft-scoped tokens) and provides context about the publish capability affecting live audience.

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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