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chieflab_status

SESSION-RECOVERY · FIRST CALL when a session starts and the user mentions launch / users / growth / customers / metrics / revenue / marketing / what next / shipping. Returns a command-center bootCard with headline, priority, cards[] (each carries kind + label + literal user command + runHandle), and next (the one-line prompt). Aggregates: pending approvals + ripe measurements + new engagement + queued prospects + recent launches + manual-publish-pending actions. ChiefLab is stateful and re-summonable — even if the conversation was lost, the IDE was switched, or the runId was forgotten, this call recovers the workspace business state. If the user asked to launch the CURRENT repo, compare boot cards to currentRepoContext/projectName; if the open loop is unrelated, start a fresh launch instead of resuming stale work.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectNameNoOptional current project/repo name.
workspaceIdNoOptional workspace id.
currentRepoContextNoOptional current repo/project context. Helps agents compare recovered loops against the project the user is asking about.

TDQS

A4.6/5.0
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that ChiefLab is 'stateful and re-summonable' and can recover state even after lost conversations or IDE switches. It also details the aggregation of multiple data types and the bootCard structure, providing useful behavioral context beyond a simple status fetch.

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 high-level label 'SESSION-RECOVERY · FIRST CALL' and then provides structured details. It is relatively dense but each sentence contributes: return format, aggregated data, stateful recovery, and a usage decision. No word is wasted, though the length could be trimmed slightly without losing value.

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?

With no output schema, the description compensates by describing the bootCard structure and its components (headline, priority, cards[], next). It also covers the aggregation list and recovery behavior, plus a decision rule for handling unrelated loops. For a status tool with this complexity, the description is sufficiently complete 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?

The input schema already describes all three parameters with 100% coverage, so the baseline is 3. The description adds meaning by explaining how projectName and currentRepoContext factor into the recovery decision ('compare boot cards to currentRepoContext/projectName'). This enriches the semantic understanding beyond the schema alone.

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 explicitly identifies this as 'SESSION-RECOVERY · FIRST CALL' and specifies exactly what it returns (a bootCard with headline, priority, cards[], next). It distinguishes from siblings by positioning it as the first call to recover the workspace state. The verb 'recovers' and resource 'ChiefLab workspace business state' confirm a clear purpose.

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?

It provides explicit when-to-use guidance: 'FIRST CALL when a session starts and the user mentions launch / users / growth / customers / metrics / revenue / marketing / what next / shipping.' It also gives a when-not condition: 'if the open loop is unrelated, start a fresh launch instead of resuming stale work.' This goes beyond a basic context by offering a decision rule.

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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