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Smart Quota Orchestrator

Smart Quota Orchestrator

by ElNeMeR70
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

sqo_cloud_hub

List, pull, or publish battle-tested Golden AI Rules and Gotchas for Flutter, Next.js, Laravel, Python, Rust, and Go stacks from a shared community hub.

Instructions

Global Smart Quota Community Hub (https://sqo.elnemer-ai.com/api/presets.php): list, pull, or publish battle-tested Golden AI Rules & Gotchas for Flutter, Next.js, Laravel, Python, Rust & Go.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "action": "<action>"
    },
    "name": "sqo_cloud_hub"
  }
}

Input Schema

NameRequiredDescriptionDefault
ruleNoGolden rule snippet when action='publish'.
stackNoTech stack ('auto', 'flutter', 'nextjs', 'laravel', 'python', 'rust', 'go').
titleNoRule title when action='publish'.
actionYesCloud Hub action.
workspaceNoWorkspace root directory.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv13.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden. It reveals that the tool talks to an external HTTP endpoint (implying network access and possible latency/auth concerns) but says nothing about what 'pull' does to the local workspace, whether 'publish' is irreversible or public, or what errors look like.

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 the resource and the three actions stated immediately, and the endpoint URL is genuinely informative rather than filler. Slightly dense with the stack roll-call, but nothing is wasted.

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?

For a five-parameter tool with no annotations and no output schema, the description should explain the semantics of pull vs list (does pull persist rules into the workspace?) and the scope of publish. Those gaps, plus the unexplained workspace parameter, leave an agent unable to predict side effects.

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%, so the schema already documents all five parameters, including the action enum and stack list. The description merely echoes the stack names and action verbs that the schema defines, adding no new meaning about 'auto' stack detection, workspace usage, or which parameters are ignored for which action.

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?

Names specific verbs (list, pull, publish) against a concrete resource (Golden AI Rules & Gotchas presets) and even names the backing endpoint, so the agent knows this is a remote preset exchange tool. It stops short of differentiating itself from plausibly overlapping siblings such as sqo_hive_mind, sqo_memory_vault, or sqo_init_preset.

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?

There is no guidance on when to choose this tool over its siblings, nor on prerequisites: nothing says whether publishing needs credentials, whether pull writes files locally, or whether list requires a workspace. The three action names are enumerated but their selection criteria are not explained.

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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