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quality_status

Read-onlyIdempotent

Read independent decision-quality alerts and evidence/learning eligibility before treating all-HOLD output as quiet success. Alerts request review and do not modify accounts or send messages.

Instructions

Read independent decision-quality alerts and evidence/learning eligibility.

Check this before treating all-HOLD output as quiet success. Alerts are review requests, not permission to trade. Does not modify accounts or send messages.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "quality_status"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.68.4

TDQS

A4/5.0
Behavior4/5

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

Annotations already establish readOnly, idempotent and non-destructive, so 'Does not modify accounts or send messages' is largely redundant. The genuinely additive content is the interpretive caveat that alerts are review requests rather than permission to trade, which is behavior an agent cannot infer from the safety hints.

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?

Three short sentences, front-loaded with what is read before the usage trigger and caveat. The final sentence restates what the annotations already declare, which is the only wasted line.

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

Completeness4/5

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

With zero parameters, an output schema, and full annotation coverage, the description only needs purpose, trigger, and interpretation. It delivers all three; the term 'evidence/learning eligibility' is left undefined, which slightly underspecifies what the agent will see even though the output schema carries the field detail.

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?

The tool takes no parameters, so there is nothing about which to add meaning; the 4 baseline applies. Schema coverage is 100% and the description correctly does not invent parameter guidance.

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 gives a specific verb and resource: 'Read independent decision-quality alerts and evidence/learning eligibility.' That distinguishes it from a generic 'status' call, though it does not explicitly name the nearest sibling (discipline, decisions, explain_decision) that an agent might confuse it with.

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?

It supplies an explicit usage trigger: 'Check this before treating all-HOLD output as quiet success,' which tells the agent when this tool is warranted. It stops short of naming an alternative tool or a when-not-to-use condition beyond the caution that alerts are not a trade signal.

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