assign_filament
Assign a filament spool to a printer (or a specific extruder slot).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| source | No | ||
| extruder | No | ||
| printer_id | Yes | The printer ID | |
| filament_id | Yes | The filament IDs (comma-separated for multiple) |
Assign a filament spool to a printer (or a specific extruder slot).
| Name | Required | Description | Default |
|---|---|---|---|
| source | No | ||
| extruder | No | ||
| printer_id | Yes | The printer ID | |
| filament_id | Yes | The filament IDs (comma-separated for multiple) |
Changes observed during successful MCP inspections.
Input schema / properties / source / enumPrevious value: -[
- "changer",
- "tag",
- "filamentpage",
- "viewspool",
- "startprint",
- "slicer",
- "codescanner",
- "slot_action",
- "analysis_fix"
-]New value: +[
+ "changer",
+ "tag",
+ "filamentpage",
+ "viewspool",
+ "startprint",
+ "slicer",
+ "codescanner",
+ "slot_action",
+ "analysis_fix",
+ "todo_list"
+]Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, idempotentHint=false, destructiveHint=false, so the agent knows this is a non-idempotent write that is not destructive. The description adds the extruder-slot targeting detail but says nothing about what happens if the target slot is already occupied (overwrite vs. error), nor any permission requirements. With annotations carrying the safety profile, a 3 is appropriate.
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 short sentence with no filler, and the core action plus optional slot targeting is front-loaded. It is efficient, though its brevity is part of the reason key behavior is undocumented.
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 4-parameter mutation tool with no output schema, the description is thin: it omits the semantics of the source enum, the mapping of multiple filament IDs to extruder slots, and outcome behavior on conflict. Annotations cover safety hints but nothing about success/failure semantics.
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?
Schema coverage is only 50%: printer_id and filament_id are documented, while source (a 10-value enum) and the extruder string array are not. The description's "specific extruder slot" adds a little meaning to the extruder parameter, but it never mentions the source enum or explains how multiple filament IDs interact with multiple extruder entries.
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?
"Assign a filament spool to a printer (or a specific extruder slot)" gives a specific verb (assign) and resource (filament spool -> printer/extruder), which is clearly distinct from read-side siblings like list_filaments or get_filament. It does not explicitly name unassign_filament as the counterpart, but the reciprocity is obvious from the names.
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 gives no conditions for when to use this versus alternatives, and no prerequisites (e.g., printer must be idle, spool must exist). The only hint is the parenthetical about extruder slots, which is functional scope rather than usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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