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word_append

Append content to Microsoft Word documents using AI agents. Connect Claude, Cursor, or Windsurf to insert text and data into existing Word files on macOS.

Instructions

Append content to a Word document

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

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 but fails to explain critical traits: how content is passed (given zero parameters), whether the operation creates files if missing, formatting requirements, or side effects. It only repeats the tool name's implied action.

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 single sentence is efficient and front-loaded with the key verb. However, extreme brevity becomes a liability given the lack of schema documentation and annotations, leaving the agent without sufficient context to invoke the tool correctly.

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?

Critical information is missing: with no output schema, no annotations, and an empty parameter schema, the description should explain how the target document and content are specified (e.g., active document, clipboard, context). Without this, the tool is effectively unusable based on the description alone.

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 contains zero parameters, triggering the baseline score of 4. The description does not add parameter-specific semantics, but no compensation is required given the empty schema.

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

Purpose3/5

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

The description states the basic action (append content) and target resource (Word document), but fails to clarify how the tool identifies which document to modify given the empty parameter schema. It minimally distinguishes from siblings like word_create and word_read through the verb choice, but offers no scope clarification.

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

Usage Guidelines1/5

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 like word_create or word_write_cell. It does not mention prerequisites, required application state (e.g., 'active document'), or workflow constraints.

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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