print_invoices
Retrieve invoice data for printing by providing the invoice unique ID.
Instructions
Get invoice data for printing (საბეჭდი ფორმის მონაცემები)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| inv_id | Yes | Invoice unique ID |
Retrieve invoice data for printing by providing the invoice unique ID.
Get invoice data for printing (საბეჭდი ფორმის მონაცემები)
| Name | Required | Description | Default |
|---|---|---|---|
| inv_id | Yes | Invoice unique ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the agent knows it's safe. The description adds 'for printing' but does not disclose response format or any side effects. It does not contradict annotations, so a score of 3 is adequate.
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 extremely short and front-loaded with the main purpose. It is concise but lacks explanatory depth, which is acceptable for a simple tool.
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 read tool with one parameter and no output schema, the description covers the basic intent. However, it does not hint at the output format (print-ready data), which would help an agent. Thus, minimally complete.
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 description coverage is 100% (the single parameter 'inv_id' is described). The tool description adds no parameter information, so baseline 3 is appropriate.
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 retrieves invoice data for printing, aligning with the name. However, among many sibling get_invoice tools, it does not explicitly differentiate itself beyond mentioning 'printing', so it's slightly lacking in distinction.
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 given on when to use this tool versus alternatives like get_invoice, get_invoice_d, etc. The description lacks any contextual cues for selection.
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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