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app_up

Plans or executes the app-aware deployment workflow from a local path or repository URL, returning a result envelope with graph steps, resources, diagnostics, and next actions.

Instructions

Plan or run the canonical app-aware run402 up workflow from a local path or repo URL. Delegates to the SDK and returns the shared app-up result envelope with graph steps, resources, diagnostics, and next_actions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dirNoWorkspace directory to inspect when source is omitted.
yesNoApprove non-interactive prerequisite, spend, and local-write prompts.
nameNoProject/app instance name, for example kysigned2.
tierNoBootstrap tier if account readiness is needed.
sourceNoLocal app directory or public Git repository URL. Defaults to the current directory.
dry_runNoPlan only. No gateway mutation, build execution, release commit, local link write, or prune.
manifestNoExplicit manifest path. Defaults to run402.json, then advanced release-only manifests.
build_modeNoOverride app build mode.
project_idNoExisting project id to install into.
allow_pruneNoApprove destructive managed-resource prune steps.
max_spend_usdNoMaximum spend app_up may approve for readiness steps.
idempotency_keyNoRoot idempotency key for resumable app-up graph mutations.
allow_shell_buildNoApprove shell-string build commands after review.
Behavior2/5

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It mentions delegation to the SDK and a result envelope, but does not disclose side effects, auth requirements, or what 'plan only' entails (the dry_run parameter covers that in schema, but not in the main description). Lack of transparency on mutation behavior is a significant gap.

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?

The description is two sentences (55 words), front-loading the core action and following with delegation details. Every sentence adds value without redundancy.

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 tool with 13 parameters and no output schema or annotations, the description provides a reasonable high-level overview but omits details on SDK return structure, step lifecycle, and how parameters like dry_run affect behavior. Adequate but not thorough.

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 100%, so each parameter has a description. The main description adds value by explaining the high-level workflow and the return envelope ('graph steps, resources, diagnostics, next_actions'), which compensates for the lack of an output schema. Baseline 3 plus extra context.

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?

The description clearly states the tool plans or runs the app-aware workflow, specifying the resource ('run402 up') and source ('local path or repo URL'). It distinguishes from siblings by naming the canonical workflow, though it could explicitly differentiate from related tools like 'deploy'.

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 implies usage for planning or running the up workflow, but does not provide explicit when-to-use or when-not-to-use guidance, nor does it suggest alternatives among the many sibling tools.

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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