Skip to main content
Glama
peter14l

flutter-orchestrator

by peter14l

scaffold_flutter_offline_resilience

Catch network failures with an automatic fallback interceptor that serves cached mock data, preventing crashes during live demos.

Instructions

Scaffolds an automatic fallback interceptor that catches Wi-Fi drops / network failures and seamlessly serves cached/embedded mock data with zero crash during live stage demos.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cacheDurationMinutesNo
enableDemoMockFallbackNo
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool catches network failures and serves cached/mock data, and implies it prevents crashes, but it doesn't explain the side effects of scaffolding (e.g., code generation, file modifications, or project structure changes). The behavioral claims are somewhat vague but not misleading.

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 one sentence, concise and front-loaded with the core purpose. It contains some marketing-style language ('seamlessly', 'zero crash') that slightly dilutes the technical clarity, but it is not verbose and gets to the point quickly.

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

Completeness2/5

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

Given that there is no output schema and no parameter descriptions, the description must carry the full context for an agent. It explains what the interceptor does but omits how it integrates, what files it touches, how the fallback is configured, and what the agent should expect after invocation. The two parameters are unexplained, leaving the tool only partially understood.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% — neither parameter has a description. The tool description also mentions nothing about `cacheDurationMinutes` or `enableDemoMockFallback`. The parameter names are self-explanatory to an extent, but the description adds no meaning about their behavior, defaults, or interaction.

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 uses a specific verb ('scaffolds') and a clear resource ('automatic fallback interceptor'), and states the purpose: catching Wi-Fi drops and serving mock data for offline resilience. This distinguishes it from sibling scaffold tools by focusing on network failure handling, though it doesn't explicitly say how it differs from alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'during live stage demos' hints at a use case, but there's no explicit guidance on when to use this tool versus alternatives, no prerequisites, and no mention of when not to use it. The agent is left to infer intent from the technical description.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/peter14l/flutter-agent-orchestrator'

If you have feedback or need assistance with the MCP directory API, please join our Discord server