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Himalaya MCP Server

Himalaya MCP Server

by andasv
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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account_list

Retrieve configured email accounts with details like name, backend type, and default status to manage email access and settings.

Instructions

List all configured email accounts.

Returns a list of accounts with their name, backend type, and default status.

Args: account: Optional specific account name to query.

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": "account_list"
  }
}

Input Schema

NameRequiredDescriptionDefault
accountNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It states the tool returns a list with name, backend type, and default status, which is helpful. However, it doesn't disclose behavioral traits like whether this requires authentication, rate limits, error conditions, or pagination. The description adds some value but leaves gaps.

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 appropriately sized and front-loaded: the first sentence states the purpose, the second explains returns, and the third clarifies the parameter. Every sentence earns its place with no wasted words, making it highly efficient.

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?

Given the tool's low complexity (one optional parameter) and the presence of an output schema (which handles return values), the description is mostly complete. It covers purpose, returns, and parameter semantics. However, it lacks behavioral context like authentication needs, which holds it back from a 5.

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?

Schema description coverage is 0%, so the description must compensate. It explains the 'account' parameter as 'Optional specific account name to query', adding meaning beyond the schema's generic 'Account' title. With only one parameter well-explained, it effectively compensates for the schema gap, earning a 4.

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 clearly states the tool's purpose: 'List all configured email accounts' (verb+resource). It distinguishes from siblings like 'folder_list' or 'envelope_list' by focusing on accounts rather than folders or messages. However, it doesn't explicitly differentiate from all siblings, keeping it at 4 rather than 5.

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 description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, when not to use it, or how it relates to sibling tools like 'envelope_list' or 'folder_list'. The agent must infer usage from the purpose alone.

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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