get_login_status
Check whether ManaBuy is currently logged in for this MCP server.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Check whether ManaBuy is currently logged in for this MCP server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the transparency burden. It adds useful scope clarification ('for this MCP server') and the verb 'Check' implies a non-mutating read, but it does not disclose return type, side effects, or error behavior. No contradiction exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single clear, front-loaded sentence with no redundant information. Every word contributes to understanding the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple zero-parameter status query, the description provides sufficient context. It clearly states what is checked and the scope, though it does not explicitly describe the return value; the phrase 'whether' strongly implies a boolean result, making this a minor gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
This tool takes no parameters, so the schema fully covers parameter semantics. The description has no need to add parameter details, and the baseline for zero-parameter tools is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb 'Check' and clearly identifies the resource: ManaBuy login status for this MCP server. It distinguishes itself from sibling actions login_manabuy and logout_manabuy by focusing on state inspection rather than mutation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for verifying whether the server is logged in, but it gives no explicit when-to-use context, prerequisites, or references to alternative tools. It is minimally adequate but lacks clear guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a distinct action or resource: auth (login/logout/status), product discovery (search/detail), ordering (quote/create/status/detail). There is no functional overlap that would cause an agent to select the wrong tool.
All tool names follow a consistent verb_noun pattern in snake_case, such as search_products, create_order, get_login_status. Even login_manabuy and logout_manabuy fit the pattern with the domain as the object.
With 9 tools, the server is well-scoped for the ManaBuy ordering domain. Each tool covers a necessary step in the workflow without redundancy or bloat.
The set covers product discovery, quoting, order creation, order status/detail tracking, and session management. A notable gap is the lack of a cancel order or list orders capability, but the core purchasing flow is complete.