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Plan an AI feature's road to launch

plan_ai_launch
Read-onlyIdempotent

A phased roadmap from where an AI feature is today to launch and its first month live: frame, prototype and model, evals, hardening, pilot, launch, monitoring. Each phase has exit criteria and the tests and checks for this feature, backed by findings from AI PM Lab's recorded real runs (injection, grounding, evals, agent cost). Returns instructions to follow with the user's text.

Input Schema

NameRequiredDescriptionDefault
featureNoWhat the AI feature does, who uses it, what it must never do, and where the work stands today

Output Schema

NameRequiredDescriptionDefault
textYesThe answer in markdown, as shown to the user; for the guides, instructions to follow with the user's text
linksYesThe AI PM Lab pages the answer links to, where each idea can be tried hands-on

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, closed-world. The description adds real behavioral content on top: what the output is (exit criteria, tests and checks per phase), its provenance (findings from recorded real runs), and notably that it 'Returns instructions to follow with the user's text' rather than data. That return-shape disclosure is the useful addition; pagination/format specifics are left to the output schema.

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?

Opens with the core noun phrase 'A phased roadmap...', so the payload is front-loaded. It is dense but every clause carries information (phase names, exit criteria, provenance). The long colon-list in the middle sentence costs some readability, keeping it from a 5.

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?

With an output schema present, the description need not detail return values, and it still usefully notes that the output is followable instructions. Combined with the phase breakdown and provenance, an agent has enough to call it correctly; only sibling routing is missing.

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?

Schema description coverage is 100% and the single 'feature' param is fully documented in the schema, so baseline 3 applies. The description broadly frames the subject matter but adds no format, length, or content-shaping guidance beyond what the schema already states.

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?

Names the resource (an AI feature) and what it produces: a phased roadmap running from current state to launch and first month live, with an explicit phase list. That is a specific verb+resource. It stops short of differentiating itself from siblings like review_launch_readiness or prep_planning_meeting, so 4 rather than 5.

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 usage context is implied by 'from where an AI feature is today to launch', so an agent can infer 'use this when planning a launch'. But there is no explicit when-to-use/when-not, no prerequisites, and no alternative tools named despite several closely related siblings.

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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