get_queue_item_cost
Calculate the estimated cost of a queue item, optionally for a specific printer.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| item_id | No | ||
| mms_map | No | ||
| printer_id | No | ||
| queue_item_id | Yes |
Calculate the estimated cost of a queue item, optionally for a specific printer.
| Name | Required | Description | Default |
|---|---|---|---|
| item_id | No | ||
| mms_map | No | ||
| printer_id | No | ||
| queue_item_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds no behavioral context beyond the annotations, which already declare the tool read-only, idempotent, and non-destructive. Since annotations cover the safety profile, the description is not contradictory but also provides no extra context like return format or computational assumptions.
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 sentence that efficiently conveys the core purpose and an optional variant. No filler or redundant information is present.
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?
Given the tool has four parameters, no output schema, and zero schema descriptions, the description is too sparse to be fully useful. It does not explain the role of 'mms_map' or the difference between 'item_id' and 'queue_item_id', leaving the agent to guess or probe.
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?
With schema description coverage at 0%, the description must compensate for undocumented parameters. It only hints at 'printer_id' via 'optionally for a specific printer' but leaves 'item_id', 'mms_map', and the required 'queue_item_id' unexplained, which is a significant gap for a tool with four parameters.
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 ('Calculate') and resource ('estimated cost of a queue item'), clearly distinguishing it from sibling tools like 'estimate_file_cost' or 'get_queue_item'. The optional printer specificity also aligns with one parameter, making the purpose unambiguous.
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 explicit guidance is given on when to use this tool versus alternatives. The description implies usage for queue item cost estimation but does not mention exclusions, prerequisites, or when to choose a different tool like 'estimate_file_cost' or 'get_queue_item'.
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.