Skip to main content
Glama
mjyoo2
by mjyoo2

get_tables

Retrieve tables from a specified HWP document using its document ID. Returns table contents and metadata for analysis or extraction.

Instructions

Get tables from the document.

Args: doc_id: Document ID from open_document

Returns: List of tables with metadata

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
doc_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description must carry the behavioral burden. It states the return is a list of tables with metadata, but does not disclose what metadata is included, whether the operation is read-only, what happens with no tables, or any error conditions.

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

Conciseness5/5

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

The description is compact, front-loaded with the main verb/resource, and organized with Args/Returns sections. Every line adds information without redundancy.

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?

For a one-parameter read/list operation, the description covers the essential input and a vague return type. However, it omits what 'metadata' contains and how the returned table references relate to sibling tools such as get_table_data, leaving an agent without full context for downstream calls.

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 the description compensates by explaining that doc_id comes from open_document, which is critical for obtaining it. It does not detail the ID format, but for a single parameter this is meaningful guidance beyond the raw schema.

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

Purpose4/5

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

The description states a clear verb/resource ('Get tables from the document') and clarifies the return shape ('List of tables with metadata'), which distinguishes it from related tools like get_table_data. It does not explicitly name the sibling alternative, so it falls just short of a 5.

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?

The only usage context is 'doc_id: Document ID from open_document,' which hints at a prerequisite but gives no guidance about when to choose get_tables over get_table_data or other table tools. No exclusions or alternative conditions are provided.

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/mjyoo2/hwp-mcp'

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