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chieflab_launch_product

Operator: chieflab-launch (primary). Spec v0.1 reference implementation of the orchestrator. End-to-end launch loop: repo-grounded positioning + per-channel drafts (linkedin, x, hn, reddit, email, landing_hero, product_hunt) + image briefs + approval-gated publishActions + signed reviewUrl + 24h measurement queue. Internally composes chieflab-post + chieflab-email under one runId. Spec-renamed alias of chiefmo_launch_product (backwards-compat retained).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalNo
brandNo
channelsNo
tenantIdNo
productUrlNo
webhookUrlNo
repoContextNo
workspaceIdNo
imagesNeededNo
idempotencyKeyNo

Schema Changelog

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

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the burden. It discloses approval-gated publishActions, signed reviewUrl, 24h measurement queue, and internal composition of post/email. But it lacks details on side effects (e.g., does it send emails or just create drafts?), auth requirements, or rate limits, leaving ambiguity for an agent.

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

Conciseness2/5

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

The description is a single dense sentence packed with hyphenated jargon ('repo-grounded positioning', 'approval-gated publishActions', '24h measurement queue'). It lacks front-loading and is not easily scannable. While it contains useful info, it is not concisely structured for quick agent comprehension.

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?

Given the tool's complexity (10 params, no output schema, no annotations), the description is insufficient. It provides no return-value format, no error scenarios, no prerequisites, and no practical explanation of the measurement queue or reviewUrl. An agent would struggle to know what to do with the response or how to validate correctness.

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?

Input schema has 0% description coverage and 10 optional parameters. The description mentions channel types and image briefs, giving a hint about the 'channels' and 'imagesNeeded' parameters, but does not explain 'goal', 'brand', 'tenantId', 'productUrl', 'webhookUrl', 'repoContext', 'workspaceId', or 'idempotencyKey'. The high-level description does not compensate for the lack of parameter documentation.

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 clearly identifies this as an end-to-end product launch orchestrator, listing the main stages (positioning, channel drafts, image briefs, approval, measurement). It distinguishes from siblings by naming internal composition of chieflab-post and chieflab-email, making the tool's primary role evident.

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?

The description states it is the 'primary' operator and mentions a spec-renamed alias, implying it is the main launch tool. However, it gives no explicit when-to-use vs. alternatives, nor exclusions or prerequisites. Sibling tools like chieflab_post or chieflab_email are implicitly alternatives but not clearly contrasted.

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.

Resources