update_queue_comment
Edit an approval comment you authored.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| comment | Yes | ||
| item_id | Yes |
Edit an approval comment you authored.
| Name | Required | Description | Default |
|---|---|---|---|
| comment | Yes | ||
| item_id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are present but weak (readOnlyHint false, destructiveHint false). The description adds the ownership constraint, implying permission enforcement. It does not disclose whether the comment is fully replaced, how non-owned comments are handled, or any side effects like notifications.
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?
A single, front-loaded sentence with no wasted words. It efficiently conveys the core action and a key constraint, making it easy to parse quickly.
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 update operation, the description is too sparse. The ambiguity around item_id and lack of error/edge-case information leave the agent uncertain about correct invocation. There is no output schema, so the description must do more to explain input semantics and limitations.
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 0% schema description coverage, the description must clarify parameters, but it does not. 'comment' is self-explanatory from context, but 'item_id' is ambiguous—it could refer to the queue item or the comment ID. The description does not compensate for this ambiguity.
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 edits an approval comment that the user authored. The verb 'Edit' is specific, and 'approval comment' identifies the resource, distinguishing it from add/delete/approve/deny tools. The ownership constraint 'you authored' further clarifies scope.
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 phrase 'you authored' implies this tool is for modifying only your own comments, which gives contextual usage guidance. However, it does not explicitly mention when to use alternatives like add_queue_comment or delete_queue_comment, so exclusions are missing.
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.