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vancealexander

Cross-Platform PowerPoint MCP Server

create_presentation

Create new PowerPoint presentations across Windows, macOS, and Linux through natural language commands in Claude Desktop.

Instructions

Create a new PowerPoint presentation.

Returns:
    Dictionary containing new presentation ID and metadata

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool creates a presentation and returns metadata, but lacks critical details: whether this requires specific permissions, if it's idempotent, what happens on failure (e.g., if PowerPoint isn't running), or any rate limits. For a mutation tool with zero annotation coverage, this is a significant gap.

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 appropriately sized with two sentences: one for the action and one for the return value. It's front-loaded with the core purpose. However, the second sentence about returns could be omitted since an output schema exists, making it slightly redundant.

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?

Given the tool's complexity (a mutation with no parameters) and the presence of an output schema, the description is minimally adequate. It covers the basic purpose and return, but lacks behavioral context (e.g., side effects, error handling) that's crucial for a creation tool without annotations. It doesn't fully compensate for the missing annotations.

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 no parameter documentation is needed. The description doesn't add parameter details beyond the schema, but that's appropriate here. It does mention the return value ('Dictionary containing new presentation ID and metadata'), which provides useful output semantics, though an output schema exists.

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 as 'Create a new PowerPoint presentation' with a specific verb ('Create') and resource ('PowerPoint presentation'). It distinguishes itself from siblings like 'open_presentation' or 'get_presentations' by focusing on creation rather than retrieval or modification. However, it doesn't explicitly differentiate from all siblings (e.g., 'initialize_powerpoint' might also involve creation).

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., whether PowerPoint must be initialized first), when not to use it (e.g., for updating existing presentations), or direct alternatives among siblings (e.g., 'open_presentation' for existing ones). The agent must infer usage from context 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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