Google Workspace MCP VE

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 'Read,' implying a read-only operation, but doesn't clarify permissions needed (e.g., viewer access), whether it returns structured data or raw text, or any rate limits. For a tool with no annotations, this minimal description is insufficient to inform safe and effective use.

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

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

The description is a single, clear sentence with zero wasted words. It's front-loaded with the core action ('Read speaker notes'), making it easy to parse quickly. This efficiency is ideal for tool selection without unnecessary elaboration.

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

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

Given the tool's moderate complexity (4 parameters, no annotations, but with an output schema), the description is minimally complete. The output schema likely details return values, reducing the need for output explanation in the description. However, the lack of usage guidelines and behavioral transparency for a read operation with access requirements leaves gaps in overall context.

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

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

Schema description coverage is 50%, with two parameters (page_object_id, slide_index) having descriptions that clarify their optionality and relationship. The description adds no parameter semantics beyond the schema, but the schema provides adequate baseline documentation for the required parameters (user_google_email, presentation_id) and the optional ones, justifying a baseline score of 3.

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

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

The description clearly states the verb ('Read') and resource ('speaker notes from a slide'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'get_presentation' or 'update_slides_speaker_notes' that might also involve slides or speaker notes, preventing a perfect score.

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

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., needing access to the presentation), compare it to related tools like 'get_presentation' for broader slide data, or specify use cases (e.g., extracting notes for review). This leaves the agent without context for tool selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.