gworkspace-mcp

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 states the tool previews without sending and returns a formatted message, which covers the core behavior. However, it lacks details on permissions, rate limits, error handling, or what 'formatted message' entails (e.g., HTML vs. plain text rendering), leaving gaps for a mutation-like operation.

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 extremely concise with two short sentences that are front-loaded and waste no words. Every part earns its place by stating the action, key constraint ('without sending it'), and return value, making it efficient and well-structured.

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 reasonably complete. It covers the purpose and basic behavior, and the output schema likely handles return value details. However, it lacks parameter semantics and deeper behavioral context, slightly reducing completeness for a preview tool that simulates email sending.

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?

The schema description coverage is 0%, so the description must compensate for all 4 parameters. It mentions no parameter details beyond the general context of email previewing. While 'to', 'subject', 'body', and 'html' are self-explanatory for email, the description adds no specific semantics, constraints, or examples, failing to adequately document the inputs.

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 specific action ('Preview an email') and distinguishes it from actual sending operations. It explicitly mentions what the tool does ('without sending it') and what it returns ('formatted message'), making the purpose unambiguous and differentiated from sibling tools like 'send_email' and 'send_html_email'.

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 clear context for when to use this tool ('Preview an email without sending it'), implying it's for testing or verification before actual email dispatch. However, it doesn't explicitly state when not to use it or name specific alternatives like 'send_email', though the context is sufficient for basic differentiation.

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