save_queue_group
Create a new queue group or update an existing one.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Create a new queue group or update an existing one.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide minimal insight (readOnlyHint=false, destructiveHint=false). The description does not disclose behavioral details such as whether update overwrites existing fields, auth requirements, rate limits, or what happens if the group already exists. The agent is left guessing about side effects and return behavior.
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 action. Every word earns its place; there is no redundancy or fluff.
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?
The description is too brief given the tool's nature. It doesn't explain how the target queue group is identified (since the schema has no parameters), what input is expected, or what the output/return value is. With no output schema and no additional context, the agent lacks critical information for correct invocation.
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 input schema has zero parameters, so the baseline is set to 4. The description adds no parameter-level detail, but with no parameters to document, this is acceptable. The agent is not misled, but also gains no extra semantics from the description.
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 action ('Create a new queue group or update an existing one') with a specific verb and resource. It distinguishes from sibling tools like delete_queue_group and reorder_queue_group, though it doesn't define what a queue group is or how the target group is identified.
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?
No guidance is provided on when to use this tool vs alternatives. It doesn't mention prerequisites, typical scenarios, or situations where create vs update semantics apply. The description simply states what the tool does without contextual direction.
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 are clearly separated by resource and action, but several overlapping queue-related tools exist—get_next_queue_item vs get_next_queue_items_for_printers, list_queue vs list_pending_queue_items, and inspect_printer_queue—which could cause misselection. list_custom_fields vs list_custom_fields_for and add_to_queue vs create_print_job add further ambiguity.
Names overwhelmingly follow a verb_noun snake_case pattern with consistent resource nouns like print_job, queue_item, folder, and filament. Minor inconsistencies exist, such as add_to_queue vs create_folder/create_print_job, save_queue_group vs update/create, and the slightly odd home_printer and send_back_for_revision.
With 74 tools, this is far beyond the recommended MCP server size and makes the toolset unwieldy to navigate, even for a broad domain. This clearly falls into the extreme 50+ tool category.
Core operational workflows—queue, print jobs, files, filament, and printer control—are well represented. However, printer lifecycle management is missing (no add/update/delete printer), and maintenance management is limited to a read-only dashboard with no corresponding actions.