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chieflab_publish_approved_post

[chieflab_* alias of chiefmo_publish_approved_post] Publish an approved social post (LinkedIn / X / Threads / Instagram / Facebook / Bluesky / TikTok) through the social publishing rail (current adapter: zernio). USE WHEN the user has approved a publishAction from chiefmo_launch_product on the reviewUrl and you need to fire the post. Strict approval gate: returns { reason: 'requires_approval', reviewUrl } if the action isn't approved yet. Once executed, returns the live platform post URL. Money/external-system action — never call this without an approved actionId.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYesThe final rendered post text (your LLM rendered this from the brief in the launch pack).
actionIdYesThe publishAction.id from chiefmo_launch_product. Required.
mediaUrlsNoOptional. Image/video URLs (or base64 data URLs from launch graphics).
platformsYesWhich platforms + Zernio accountIds to publish to. Get accountIds from chieflab_list_publish_accounts.
scheduleAtNoOptional ISO 8601. Schedule for later instead of immediate.

TDQS

A4.7/5.0
Behavior5/5

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

No annotations are provided, so the description bears the full burden. It discloses the external/system action nature, the strict approval gate with the exact return payload ('requires_approval' with reviewUrl), and the successful result (live platform post URL). It also warns against calling without approval.

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

Conciseness4/5

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

The description is a bit long but well-structured: alias, purpose, explicit trigger, approval behavior, and warning. Every sentence adds value, but it could be tightened without losing meaning.

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

Completeness5/5

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

For a high-stakes external action, the description covers the approval gate, execution result, platform scope, and safety warning. It provides sufficient context for correct invocation without needing an output schema.

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

Parameters5/5

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

Schema coverage is 100%, so baseline is 3. The description adds crucial context: content is the final rendered post text from the LLM, actionId is specifically from chiefmo_launch_product, and platforms require accountIds from chieflab_list_publish_accounts. This enriches the schema definitions and aids correct invocation.

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 verb ('Publish') and the resource ('an approved social post') and lists the specific platforms. It distinguishes the tool from siblings like chieflab_send_approved_email by specifying the social publishing rail and the approval gate from chiefmo_launch_product.

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 'USE WHEN' clause explicitly defines the trigger: after the user approves a publishAction on the reviewUrl. It also warns 'never call this without an approved actionId,' providing a clear when-not. However, it does not explicitly name alternative sibling tools (e.g., chieflab_send_approved_email), so it misses the full 'alternatives' component.

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

A3.8/5.0
Disambiguation2/5

Many tools have overlapping purposes (e.g., multiple launch and measurement tools), and the presence of aliases like chiefmo_* can confuse an agent. While descriptions are detailed, the sheer number of tools covering similar workflow steps makes it hard to distinguish the right one without careful reading.

Naming Consistency4/5

All public tools start with 'chieflab_' and mostly follow a verb_noun pattern (e.g., chieflab_approve_action, chieflab_set_company_profile). However, some internal names like 'chiefmo_*' appear as aliases, which slightly breaks consistency from the user's perspective.

Tool Count1/5

45 tools is excessive for a single MCP server. While the domain is broad, this many tools likely overwhelms agents and users. Most well-scoped servers have 3-15 tools; 45 indicates poor scoping and should be split into focused sub-servers.

Completeness5/5

The tool surface is extremely comprehensive, covering the full lifecycle from signup and installation to launch, approval, execution, measurement, next-move suggestions, manual fallback, and specialist delegation. No obvious gaps for the stated purpose of growth and distribution.

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