Get label settings
get_label_settingsLabel size and file format, packing list, logo, QR codes, address correction, export format.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_label_settingsLabel size and file format, packing list, logo, QR codes, address correction, export format.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and a closed-world scope, so the safety profile is covered without description help. What the description does contribute is a hint at the content of the returned settings (label size, packing list, logo, QR codes, address correction, export format), which is genuinely useful since no output schema exists, but it says nothing about whether the values are account defaults, whether they are editable via update_label_settings, or what shape they take.
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?
Twelve words, no filler, no repetition. It is efficient, though the fragmentary form means it is not front-loaded with a purpose statement the way a strong definition would be.
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 zero-parameter, read-only, closed-world getter whose safety profile is fully covered by annotations, the definition is minimally viable. However, with no output schema, the description should clarify that these fields are the returned settings values and note their relationship to update_label_settings; as written, an agent could misread the list as inputs.
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 takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The field list it does provide is not a parameter list and should not be read as one.
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 is a bare noun-phrase list ('Label size and file format, packing list, logo, QR codes, address correction, export format') with no verb, so it never explicitly states that it retrieves settings. It does add specificity beyond the name by naming which settings categories are covered, which is enough to distinguish it from siblings like update_label_settings, but the action itself must be inferred.
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?
There is no indication of when to call this tool, no prerequisites, and no mention of the obvious counterpart update_label_settings or of get_tracking_email_settings as a related settings reader. The agent must infer usage purely from the tool name and sibling list.
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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