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chieflab_set_publishing_targets

P79 — set per-workspace publishing target defaults so chiefmo_approve_action({ autoExecute: true }) doesn't need the agent to pass platform / recipient ids on every call. One-time setup per workspace. channelTargets is a map { linkedin: { accountId }, x: { accountId }, email: { fromEmail, recipientListId } }. Pass partial maps to update specific channels; pass null for a channel value to remove it. Persisted via deps.publishingTargetsStore when wired, otherwise in-process Map (Vercel function lifetime). Returns the merged channelTargets + storage location ('persistent' or 'in_memory').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workspaceIdNoOptional workspace id (defaults to the auth workspace).
channelTargetsYesMap of channel → target. Examples: linkedin/x → { accountId: '<zernio_account_id>' }; email → { fromEmail: 'founder@product.com', recipientListId: '<list_id>' }. Pass null as a channel value to remove it.

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations provided, the description fully discloses behavioral traits: partial maps update specific channels, passing null removes a channel, persistence depends on wiring (publishingTargetsStore vs in-process Map), and the return value includes merged targets and storage location. This is exceptionally transparent.

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?

A single, dense paragraph that front-loads the primary purpose, then concisely explains usage patterns, persistence, and return value. Every sentence contributes necessary context with no filler or redundancy.

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?

Despite having no output schema, the description covers the return value and storage location. It adequately explains the nested parameter behavior, optional workspaceId, and implications for use with approve_action, making the tool fully self-contained for an agent.

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?

Schema description coverage is 100%, so baseline is 3. The description adds meaningful semantics beyond the schema by explaining partial updates, null removal, persistence behavior, and return structure—especially valuable for the nested channelTargets object and optional workspaceId.

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 uses a specific verb ('set') and resource ('per-workspace publishing target defaults'), clearly distinguishing it from sibling get_publishing_targets. It also explains why this tool exists—to avoid passing platform/recipient IDs on every approve_action call—making the purpose unambiguous.

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?

States this is a 'one-time setup per workspace' and explains how it relates to chiefmo_approve_action, providing clear context for when to use it. While it doesn't explicitly list exclusions or alternatives, the sibling get_publishing_targets is implicitly denoted through the purpose, and the usage scenario is well-defined.

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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