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Growth: File plan

growth_plan_upsert

File or update the quarterly growth plan for one brand (AMZ Vault tables only - nothing reaches Amazon). Pass label (e.g. "Q4 2026"), window_start (YYYY-MM-DD), north_star, situation (executive summary), scorecard [{kpi, baseline, wk4, wk8, wk13}], risks [{risk, likelihood, impact, mitigation}], tasks [...] in the growth-strategist task shape. Tasks APPEND unless replace_tasks=true. The plan becomes active when it is the brand's only one.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelYes
risksNo
tasksNo
statusNo
coverageNo
scorecardNo
situationNo
north_starNo
window_endNo
window_startNo
replace_tasksNo
seller_connection_idNoWhich seller connection (see account_sellers). Optional when the token has exactly one.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations only provide readOnlyHint=false and destructiveHint=false, so the description carries the behavioral burden and delivers: nothing reaches Amazon, tasks append by default, and the plan becomes active only when it is the brand's sole plan. These append/activation semantics are genuinely valuable disclosures beyond the structured annotations.

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 dense but efficient: a one-sentence purpose statement followed by a compact run of parameter specs and behavioral rules, all of which earn their place. It could be broken into clearer clauses per parameter, but there is no fluff or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 12-parameter mutation tool with no output schema, the description covers write scope, parameter shapes, and mutation semantics well. But it never states what the tool returns on success, how an 'update' identifies the existing plan (e.g., is label the key?), or error/conflict behavior such as what happens when multiple plans exist - significant gaps given no output schema exists to fill them.

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 only 8%, so the description must compensate, and it does for roughly 8 of 12 parameters: label gets an example, window_start gets a YYYY-MM-DD format, scorecard and risks get explicit item shapes, and replace_tasks gets its semantics. However, window_end, status, and coverage remain undocumented in both schema and description, so it is not complete.

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 opening verb phrase 'File or update the quarterly growth plan for one brand' names a specific action, resource, and scope. The parenthetical '(AMZ Vault tables only - nothing reaches Amazon)' adds a crucial boundary that differentiates this write tool from any sibling that touches live Amazon systems, and the title 'Growth: File plan' aligns with the description.

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 description gives clear operational guidance (append unless replace_tasks=true; activation rule) that helps an agent decide how to invoke it, but it never names alternatives or exclusions. The sibling growth_plan read tool is not referenced, so the when-to-use-vs-alternatives routing is left implied rather than explicit.

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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