Skip to main content
Glama
yunqi-zhilian

云启智联 MCP Server

Official

parse_invoice

Parse Chinese VAT invoices from images or PDFs to extract invoice code, number, date, amount, and buyer/seller information.

Instructions

解析增值税发票图片或 PDF,返回发票代码、发票号码、开票日期、金额、购销方信息等。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYes
file_pathNo
file_urlNo
callback_urlNo
Behavior2/5

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

With no annotations, the description fails to disclose behavioral traits such as whether the operation is read-only, if it requires network access or authentication beyond the api_key, or any potential side effects. It only says 'parse' and returns data, lacking detail on process limitations.

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?

The description is a single sentence that immediately states the verb and resource. It is efficient but could be more structured by separating input requirements from output details.

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?

Given 4 parameters, no output schema, and no annotations, the description is incomplete. It does not explain the required combination of file_path or file_url, nor the asynchronous nature possibly implied by callback_url, nor what the return format looks like.

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

Parameters2/5

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

Schema description coverage is 0%, yet the description does not explain any of the 4 parameters (api_key, file_path, file_url, callback_url). It only mentions the overall purpose, leaving parameter roles ambiguous.

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?

The description clearly states the verb 'parse', the resource 'VAT invoice images or PDF', and lists specific return fields (invoice code, number, date, amount, buyer/seller info). It distinguishes from sibling tools that parse bank receipts, bank statements, or generic documents.

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

Usage Guidelines3/5

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

The description implies usage for invoices but does not explicitly state when to use this tool versus alternatives like parse_bank_receipt. No guidance on prerequisites or when not to use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/yunqi-zhilian/yqzl-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server