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Ichimoku Signal

Send feedback (free)

feedback

Report a bug, a missing feature or anything else about this service, in a structured way. Free. A person reads every report; nothing is run or changed automatically.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNobug, feature (something missing) or other
contactNoOptional: how to reach you about it
messageYesWhat happened or what you need
endpointNoOptional: the route or tool it is about, e.g. /v1/token

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesReport id, to refer to it later
noteNo
typeNo
serviceNo
receivedYestrue: a person will read it

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "http://json-schema.org/draft-07/schema#",
      +  "additionalProperties": true,
      +  "properties": {
      +    "id": {
      +      "description": "Report id, to refer to it later",
      +      "type": "string"
      +    },
      +    "note": {
      +      "type": "string"
      +    },
      +    "received": {
      +      "description": "true: a person will read it",
      +      "type": "boolean"
      +    },
      +    "service": {
      +      "type": "string"
      +    },
      +    "type": {
      +      "type": "string"
      +    }
      +  },
      +  "required": [
      +    "received",
      +    "id"
      +  ],
      +  "type": "object"
      +}
  2. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations declare readOnlyHint=false and openWorldHint=false, so the agent already knows this is a self-contained write. The description meaningfully supplements that by stating 'nothing is run or changed automatically' and that a human reviews every report, which reframes the write as non-impacting. It stops short of describing turnaround, rate limits, or error handling.

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?

Three short sentences, zero filler, with the core action front-loaded and the qualifying details (free, human-reviewed, non-automatic) following. The 'Free.' fragment earns its place as a decision-relevant fact.

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 an output schema present, the description need not explain return values, and it covers the essentials of what the tool does and how submissions are handled. A brief note on expected follow-up (e.g., no ticket ID or reply guarantee) would round it out, but nothing needed to invoke it correctly is missing.

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 one parameter carries an enum, so the schema fully documents type, contact, message, and endpoint. The description's only nod to parameters is the vague phrase 'in a structured way', which adds no detail beyond the schema. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific verb (report) and a precise resource (a bug, missing feature, or anything else about the service), so an agent immediately knows this is the feedback channel. It is unmistakably distinct from the market-data siblings (market_scan, price_levels, trade_setups), which are all analysis tools.

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 by enumerating the reportable categories (bug / feature / other), which maps onto when an agent should reach for it, but it never states when-not to use it or any alternative escalation path. The 'Free' and 'a person reads every report' notes add context but not selection guidance.

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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