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chyinan

MCP Word Commander

by chyinan

read_tables

Extract table data from Word documents. Returns JSON formatted content for specified or all tables.

Instructions

读取 Word 文档中的表格内容。

Args: file_path: 文档路径 table_index: 指定读取第几个表格 (0-based),不指定则读取所有表格

Returns: JSON 格式的表格数据。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
table_indexNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so description must fully disclose behavior. It states returns JSON table data but omits details like how missing table index is handled, performance implications, error behavior, or data format specifics. This is insufficient for a no-annotation tool.

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 concise with three main lines, then numbered Args/Returns. Front-loaded with purpose. Could be slightly more compact but overall efficient.

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

Completeness3/5

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

Output schema exists but is not shown; description notes JSON return format. For a tool with no annotations, it should mention potential errors, supported document formats, or edge cases. However, given output schema likely covers structure, description is minimally adequate but not comprehensive.

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

Parameters4/5

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

Schema coverage is 0%, but description adds meaningful explanations for both parameters: file_path is document path, table_index specifies which table (0-based) or all if omitted. Default behavior of table_index (null means all) is implied. Adds value beyond the raw schema.

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 tool reads table content from a Word document, including both the verb 'read' and the resource 'tables'. It distinguishes from sibling tools like read_document_structure, get_images_info, etc., which perform different operations.

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. The description does not mention prerequisites, when not to use it, or mention sibling tools. Implicit usage is clear but lacks explicit direction.

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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