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chieflab_set_company_profile

P88 — set the workspace's persistent company profile. ChiefLab's pre-P88 brief pipeline was repo-first; without a repo, launches landed thin. P88 lets the founder (or an agent) store the company / product facts ONCE and every subsequent launch grounds in them, even URL-only / paste-description launches. Pass partial maps to update specific fields; pass null for a field to remove it. Profile fields the brief consumes: companyName, productName, offer, audience, market, positioning, services[], productType, brandColors {primary, accent, bg, text}, websiteUrl, contactEmail, socialLinks[], keyClaims[], voiceSample.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceNomanual | extracted | imported | autodetected. Default 'manual'.
profileYesPartial profile object — top-level keys merge, nested objects shallow-merge, null values remove.
confidenceNohigh | medium | low. Default 'medium'.
workspaceIdNoOptional workspace id.

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description discloses key behaviors: the profile is persistent, affects every subsequent launch, and partial updates merge / null removes. This goes beyond the basic setter semantics. It doesn't cover auth or return value, but the core behavioral traits are transparent.

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 front-loaded with a clear purpose and then provides contextual background. It is somewhat verbose with the P88/pre-P88 narrative, but every part serves to explain why the tool exists and how to use it. The field list is a useful reference.

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 tool involves a complex nested profile object, and the description covers the structure and merge semantics without an output schema. It omits the return type (likely void/success), but for a setter this is less critical. The description is sufficient for an agent to invoke it correctly.

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?

Although schema coverage is 100%, the description adds value by enumerating the fields the profile consumes (companyName, productType, brandColors, etc.), which the schema does not specify for the 'profile' object. It also reinforces the partial-update behavior for merge/remove, complementing the schema description.

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 with a specific verb and resource: 'set the workspace's persistent company profile.' It also explains the broader purpose (storing facts once for all future launches) and the P88 context, which distinguishes it from the sibling get_company_profile (a getter vs setter).

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 description explains when this is useful (post-P88, for grounding launches without a repo) and gives concrete usage guidance ('Pass partial maps to update specific fields; pass null for a field to remove it'). It does not explicitly name alternatives or exclusions, but the context is clear enough for an agent to decide.

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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