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get_document_info

Extract key document statistics including paragraph count, headings, footnotes, comments, and images from Microsoft Word documents for structural analysis and content auditing.

Instructions

Get overview stats: paragraph count, headings, footnotes, comments, images.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a read-only operation by using 'Get,' but doesn't specify if it requires document access permissions, has rate limits, returns data in a specific format, or handles errors. This is a significant gap for a tool with no annotation coverage.

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 a single, efficient sentence that front-loads the core action ('Get overview stats') followed by a specific list of metrics. Every word earns its place, with no redundancy or waste, making it highly concise and well-structured for quick understanding.

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

Completeness4/5

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

Given the tool's low complexity (0 parameters, no annotations, but with an output schema), the description is reasonably complete. It clearly states what metrics are retrieved, and since an output schema exists, it doesn't need to detail return values. However, it lacks behavioral context like permissions or error handling, which slightly reduces completeness.

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?

The input schema has 0 parameters with 100% coverage, so the schema fully documents the lack of inputs. The description appropriately adds no parameter information, as none are needed, and instead focuses on what the tool returns. This exceeds the baseline of 3 by efficiently using the description space for output context.

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 clearly states the tool's purpose with a specific verb ('Get') and resource ('overview stats'), listing concrete metrics like paragraph count, headings, footnotes, comments, and images. It distinguishes itself from siblings like get_comments or get_footnotes by aggregating multiple document metrics into a single overview, though it doesn't explicitly name these alternatives for full differentiation.

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 description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., requiring an open document), exclusions, or compare it to sibling tools like audit_document or get_headings, leaving the agent to infer usage from the tool name and listed metrics alone.

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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