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send_email

Send emails through Gmail with options for HTML content, CC, and BCC recipients. This tool enables automated email sending from conversational AI interfaces.

Instructions

Send an email via Gmail. Set html=True for HTML body. cc/bcc are comma-separated email addresses.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYes
subjectYes
bodyYes
htmlNo
ccNo
bccNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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 the tool sends email via Gmail but provides no information about authentication requirements, rate limits, error conditions, or what happens when emails fail to send. For a mutation tool with significant real-world impact, this lack of behavioral context is a substantial gap.

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

Conciseness5/5

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

The description is extremely concise with just two sentences that each provide valuable information. The first sentence establishes the core purpose, while the second offers specific parameter guidance. There's no wasted language or unnecessary elaboration.

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 that this is a mutation tool with no annotations, 6 parameters (3 required), and 0% schema description coverage, the description is incomplete. While an output schema exists (which reduces the need to describe return values), the description lacks crucial information about authentication, error handling, and when to use versus sibling tools. It provides basic functionality but misses important operational context.

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?

With 0% schema description coverage for all 6 parameters, the description adds some value by explaining that 'cc/bcc are comma-separated email addresses' and mentioning 'html=True for HTML body'. However, it doesn't explain the purpose or format of 'to', 'subject', or 'body' parameters, leaving significant gaps in parameter understanding.

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 action ('Send an email') and resource ('via Gmail'), making the tool's purpose immediately understandable. It distinguishes itself from sibling tools like 'send_email_preview' and 'send_html_email' by being the primary email sending function, though it doesn't explicitly contrast with these alternatives in the description text itself.

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 like 'send_email_preview' or 'send_html_email'. While it mentions setting 'html=True for HTML body', this is parameter guidance rather than usage context. There's no information about prerequisites, appropriate scenarios, or when other tools might be better suited.

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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