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asgard-ai-platform

MCP Universal EC E-Invoice Server

assign_branch_tracks

Assign invoice track ranges to a branch for Taiwan e-invoice management using head and branch tax IDs, invoice type, period, and track details.

Instructions

Assign invoice track ranges to a branch (E0401). Returns the API response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
head_banYesHead company tax ID (HeadBan).
branch_banYesBranch company tax ID (BranchBan).
year_monthYesYear-month period (YYMM format).
invoice_typeYesInvoice type code.
invoice_trackYesInvoice track (2 uppercase letters).
invoice_end_noYesEnding invoice number for the main track.
invoice_begin_noYesBeginning invoice number for the main track.
branch_track_itemsYesList of branch track items. Each item: {InvoiceBeginNo, InvoiceEndNo, InvoiceBooklet}.
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full burden. It states the tool 'returns the API response' but does not disclose behavioral details such as whether the operation is destructive, idempotent, or requires specific permissions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Description is a single informative sentence without wasted words. It is front-loaded with the core action and result, but could be expanded slightly without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 8 required parameters, no output schema, and no annotations, the description is too brief. It does not explain what a track range is, the meaning of parameters like branch_track_items, or any constraints, leaving the agent underinformed.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% with each parameter having a description. The tool description adds no additional meaning beyond the schema, meeting the baseline for high coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states the action 'assign invoice track ranges to a branch' and references the specific system code E0401. This distinguishes it from sibling tools like create_invoice or cancel_invoice.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives. Sibling tools like get_assignment_info or get_downloaded_track_ranges exist but no context is provided about prerequisites or when assignment is appropriate.

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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