Hardened Google Workspace MCP

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'batch updates' but doesn't clarify whether this is a destructive operation, what permissions are required, whether changes are reversible, or if there are rate limits. The description lacks critical behavioral context needed for safe invocation.

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 efficiently structured with a clear opening statement followed by parameter and return value sections. Each sentence serves a purpose, though the parameter explanations could be more informative given the 0% schema coverage. No wasted words, but could benefit from more substantive content.

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?

For a mutation tool with 3 parameters and no annotations, the description is minimally adequate. The presence of an output schema reduces the need to document return values, but critical behavioral aspects (permissions, destructiveness, error handling) are missing. The 0% schema description coverage means parameters are poorly documented, leaving significant gaps.

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 0%, so the schema provides no parameter documentation. The description adds basic semantic context for each parameter (e.g., 'user's Google email address', 'ID of the presentation', 'List of update requests'), but doesn't explain the structure of update requests, valid formats, or examples. This provides minimal value beyond the bare parameter names.

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 action ('Apply batch updates') and resource ('to a Google Slides presentation'), making the purpose evident. However, it doesn't explicitly differentiate from sibling tools like 'update_doc' or 'modify_doc_text', which could cause confusion about when to use this specific presentation-focused tool versus other document editing tools.

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?

No guidance is provided about when to use this tool versus alternatives. With many sibling tools for document/presentation editing (e.g., 'update_doc', 'modify_doc_text', 'create_presentation'), the description offers no context about prerequisites, when batch updates are appropriate, or what distinguishes this from single-update operations.

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