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tumf

fastmcp-gsuite

by tumf

create_gmail_reply

Create a reply to an existing Gmail email. Optionally send immediately or save as draft with CC support.

Instructions

Create a reply to an existing Gmail email message.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idYesThe EMAIL of the Google account. Choose from:
original_message_idYesThe ID of the original email message to reply to.
reply_bodyYesThe body text of the reply.
sendNoIf True, sends the reply immediately. If False, saves as draft.
ccNoOptional list of email addresses to CC.
Behavior2/5

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

No annotations are provided, so the description must disclose behavior. It only says 'Create a reply' but does not mention that the tool can either send immediately or save as draft based on the 'send' parameter. It also does not describe side effects (e.g., modifying sent mail) or authentication requirements. The behavioral transparency is poor.

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 a single sentence that front-loads the key purpose. It is concise and to the point, with no unnecessary words. However, it could be restructured or supplemented with a brief example of usage.

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?

Given that there is no output schema, the description should clarify what the tool returns (e.g., the ID of the created reply/draft). It also lacks information about error handling or limitations. The tool has 5 parameters and some complexity (send/draft), but the description provides no completeness beyond the basic purpose.

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

Parameters3/5

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

Schema coverage is 100% with each parameter having a description. The tool description does not add any additional meaning beyond what is already in the schema. The baseline of 3 is appropriate since the schema already provides adequate parameter semantics.

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 verb 'Create' and the resource 'reply to an existing Gmail email message'. It specifies the scope (reply to existing message) but does not explicitly differentiate from the sibling tool 'create_gmail_draft', which might create a new draft or a reply draft. The ambiguity reduces clarity slightly.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., 'create_gmail_draft' vs 'send' parameter). There are no mentioned prerequisites like having the original message ID. The description offers no context for selection among sibling tools.

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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