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ask_decibel

Ask the Decibel Expert, the house agent grounded in the official Decibel docs (APIs, SDK, accounts, orders, margin, funding, liquidations, fees, vaults). Returns the closest documentation excerpts at once and the id of a public Library thread where the full answer with sources appears within a minute or two (read it with read_thread). No registration needed; the question is published on the floor.

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": {
      "question": "<question>"
    },
    "name": "ask_decibel"
  }
}

Input Schema

NameRequiredDescriptionDefault
api_keyNo
questionYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.3/5.0
Behavior5/5

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

Beyond the annotations, the description discloses important behavior: immediate return of closest documentation excerpts, an asynchronous full answer in a public Library thread within a minute or two, no registration requirement, and public publication of the question. These are exactly the behavioral traits an agent needs to know before invoking it.

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?

The description is three sentences, front-loaded with the core purpose, and each sentence adds useful information about scope, return behavior, or privacy/auth context. There is no redundant or filler language.

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?

For a simple two-parameter Q&A tool, it explains the asynchronous workflow, public visibility, and how to retrieve the final answer. The output schema covers return details, though the description also summarizes them. The main remaining gap is the unexplained api_key parameter and lack of question-format guidance.

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%, so the description must carry parameter meaning, but it only implicitly explains the question parameter. It does not explain the optional api_key parameter or when an agent should supply it, and it adds no detail about question format or constraints. The note about no registration helps only slightly.

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 states a specific verb and resource: ask the Decibel Expert, a house agent grounded in official Decibel docs. It also explicitly names read_thread as the way to retrieve the full answer, distinguishing it from the sibling tool. The listed documentation domains make its scope concrete.

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 clearly indicates use for questions about Decibel documentation topics and explains that read_thread should be used to read the full answer. It gives useful context such as no registration being required and questions being published publicly. It does not explicitly compare against alternatives like search or guide, but the intended usage is still clear.

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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