login
Generate a 6-digit device code for authentication. The user must enter this code on the Bonto website while logged in with their SideQuest account.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Generate a 6-digit device code for authentication. The user must enter this code on the Bonto website while logged in with their SideQuest account.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must cover behavioral traits. It mentions the output (6-digit code) and user action but does not disclose code expiration, rate limits, session requirements, or the need to poll check_login afterward. The tool's behavior beyond generating the code is opaque.
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, concise sentence that front-loads the primary action. It is free of unnecessary detail and every word adds value.
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?
With no parameters and no output schema, the description carries the burden of explaining the tool. It states that a 6-digit code is generated and that the user enters it, but it omits what happens after entry or how this relates to sibling tools like check_login, leaving the full authentication flow incomplete.
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?
The tool has zero parameters, so there are no parameter semantics to explain. The description adds context about the code's purpose, which is helpful, and the baseline for 0 params is 4.
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 clearly states the tool's function: 'Generate a 6-digit device code for authentication.' This specifies a concrete action and output, distinguishing it from sibling tools like check_login (which checks login status) and set_token (which sets a token).
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 says 'The user must enter this code on the Bonto website while logged in with their SideQuest account,' which implies it is part of an authentication flow. However, it does not explicitly state when to use this tool versus alternatives or mention when not to use it. There is context but no direct guidelines.
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.
Most tools have clearly distinct purposes, but a few pairs could be confused: get_app vs. get_app_status both report on app state, and update_app vs. set_node_version both modify runtime configuration. Descriptions are detailed enough to mitigate most ambiguity, but the overlap is notable.
Tool names largely follow a consistent verb_noun snake_case pattern (e.g., list_apps, create_app, delete_file). Minor deviations include the bare verb 'login' and the noun-first 'git_info', which break the pattern slightly but are still understandable.
At 37 tools, the set is on the heavy side, well above the typical 3-15 range. However, the server covers a broad PaaS domain (auth, app lifecycle, file management, packages, versions, git, metrics), and each tool addresses a distinct operation. It feels over-engineered in places but not gratuitously so.
The tool surface is impressively complete for a deployment platform: authentication, app CRUD, start/stop/restart, file operations (read/write/delete/rename/search/upload), package management, version snapshots and restore, git remote and push/pull, logs, metrics, and configuration. No critical dead-ends are apparent.