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chieflab_force_measurement_due

P93 — admin escape hatch. Forces a proof_ledger row's measurement_due_at into the past so the cron's next tick picks it up. USE WHEN smoke testing the launch → measure → next-move chain without waiting 24h, OR an ops user needs to retry a stuck measurement. Gated by CHIEFLAB_ADMIN_TOKEN header (same gate as /api-keys/issue). Refuses if the row is already measured. Pass dueAt (ISO string) to set a specific time; defaults to now - 60s.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dueAtNoOptional ISO timestamp. Defaults to (now - 60s) so the next cron tick picks it up.
proofIdYesproof_ledger row id (from chieflab_record_manual_publish or chieflab_execute_approved_action response).
adminTokenYesRequired. Must match CHIEFLAB_ADMIN_TOKEN env var.

TDQS

A4.4/5.0
Behavior5/5

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

With no annotations, the description carries the full burden. It discloses the admin-token auth requirement, the refusal condition if the row is already measured, and the default behavior (now - 60s). This gives an agent a clear picture of side effects and preconditions.

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?

Every sentence adds value: the purpose, use cases, auth, refusal condition, and parameter behavior. Although it starts with 'P93' which is cryptic, the rest is dense and efficient. No filler or redundant wording.

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 description covers the action, conditions, auth, and parameter behavior. Since there is no output schema, it does not describe the return value or error behavior, but for a mutation tool this is acceptable. Overall, the tool is fully contextualized for an agent.

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

Parameters3/5

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

The schema already has 100% coverage for all three parameters. The description adds the default behavior for dueAt and clarifies that proofId comes from elsewhere, but these are minor additions. The baseline of 3 is appropriate since the schema does the heavy lifting.

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 specific action: forcing a proof_ledger row's measurement_due_at into the past. It distinguishes itself from siblings by calling itself an 'admin escape hatch' and explaining its role in the cron flow, which sets it apart from measurement or approval tools.

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 explicitly provides use cases: smoke testing the launch-to-measure chain and retrying stuck measurements. It also mentions the admin token gate. However, it does not explicitly name alternative tools or state when not to use it, which keeps it just below full marks.

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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