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NSTOK AI Software Factory MCP Server

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by nstok-id

get_app_context

Retrieve full architecture and composition details for a generated or production app by name, so agents can reuse components, models, and templates.

Instructions

Get full application architecture and composition details for a generated or production app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appNameYesApplication repository name (e.g. "Nstok-app-q", "Nstok-app-w")

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. The word 'Get' implies a read, but it never states that the operation is read-only, mentions side effects, permission/auth requirements, rate limits, or whether results can be cached or are costly to fetch. For a context tool with zero annotation coverage, this is a notable gap.

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?

A single front-loaded sentence with no wasted words. It is efficient, though being one generic sentence it also contributes to the thin overall specification.

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?

No output schema exists, so the description should say more about what 'architecture and composition details' actually contains and how it should feed downstream planning tools. Combined with the absence of annotations, the definition is minimal but not misleading for a single-parameter read tool.

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 appName parameter is already documented with examples in the schema. The description adds no syntax, format, or sourcing guidance beyond what the schema provides, so the baseline of 3 applies.

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?

States a specific verb (Get) and resource (application architecture and composition details), and scopes it to 'generated or production app'. However, it does not distinguish itself from close siblings like get_project_context or get_feature_context, leaving the app/project boundary to inference.

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?

Usage is only implied by the phrase 'for a generated or production app'; there is no explicit when-to-use, no conditions selecting it over get_project_context/get_feature_context, and no prerequisites. Adequate but with clear routing gaps.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.