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Get the build pack for a planned stack

get_build_pack
Read-only

Everything needed to start building a planned stack: the decisions (each service, what it covers, the runner-up, cost now and at forecast), setup steps in order (domain, hosting, database, sign-in, email, payments, monitoring), the variable names as .env.example, KONG.md (a brief for the AI assistant: the stack, rules, cost cliffs, setup order, and what "done" means), an acceptance checklist and cost guardrails. For a plan built with an app builder (builder_profile non_developer), KONG.md is one prompt to paste into the builder instead. Pass the share_url of a plan (no sign-in needed) or the id of a saved plan (needs sign-in). Write KONG.md and .env.example into the project root, then follow the steps with the user. Values never pass through Kong Reviews: only variable names.

Input Schema

NameRequiredDescriptionDefault
idNoA saved plan id from list_saved_stacks (needs sign-in).
frameworkNoWhat the app is built with: nextjs (default), remix (Remix or React Router), sveltekit, astro, expo (React Native) or node (Express). Picks each service's package, variable names and guide for it. Read it from the project (package.json) when you can.
share_urlNoA plan link from plan_stack, recommend_stack or kongreviews.com.

Output Schema

NameRequiredDescriptionDefault
dataYesThe tool result. Its shape depends on the tool.
staleYes
caveatsYesShow to the user word for word.
sourcesYes
confidenceYes
assumptionsYesUsage and pricing assumptions behind the numbers.
disclosuresYesAlways includes the neutrality note: no vendor pays for a place in the answer. Link its url when you mention how Kong Reviews is paid.
generated_atYes
engine_versionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

Adds real context beyond readOnlyHint/openWorldHint: the two auth modes, the builder_profile non_developer variant where KONG.md becomes a single paste-in prompt, and the privacy guarantee that variable values never pass through Kong Reviews. The 'write KONG.md into the project root' instruction is agent-side file I/O, not a contradiction of readOnlyHint.

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?

Front-loaded with what the pack contains (the highest-value information), then invocation, then next actions. Dense but every clause carries content; the long parenthetical service list is the only slightly heavy part.

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?

Output schema covers return values, so the description's job is inputs, auth, and post-call workflow — all present. For a zero-required-parameter read tool it leaves nothing an agent needs to call it or act on the result unresolved.

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 coverage is already 100%, so baseline is 3; the description adds the sign-in distinction for share_url vs id and the framework default implied by the builder_profile note. It does not add framework-selection detail (reading package.json), which lives in the schema.

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?

Names a specific resource (the build pack for a planned stack) and enumerates exactly what it contains: decisions with runner-up and cost, ordered setup steps, .env.example variable names, KONG.md, acceptance checklist and cost guardrails. An agent knows precisely what comes back without opening the output schema.

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?

Gives the two invocation paths with their auth conditions (share_url = no sign-in, id from list_saved_stacks = needs sign-in) and states the follow-on workflow: write KONG.md and .env.example to project root, then walk the steps with the user. No explicit when-not or named alternative sibling, so not a 5.

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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