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send-email

Compose and send emails through Outlook using Microsoft Graph API. Specify recipients, subject, body, and optional settings like CC/BCC, importance, and sent items storage.

Instructions

Composes and sends a new email

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesComma-separated list of recipient email addresses
ccNoComma-separated list of CC recipient email addresses
bccNoComma-separated list of BCC recipient email addresses
subjectYesEmail subject
bodyYesEmail body content (can be plain text or HTML)
importanceNoEmail importance (normal, high, low)
saveToSentItemsNoWhether to save the email to sent items
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 states the action ('composes and sends') but lacks critical details: it doesn't mention authentication requirements, rate limits, error conditions, whether the email is sent immediately or queued, or what happens on success/failure. For a mutation tool with zero annotation coverage, this is a significant 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 a single, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized and front-loaded, making it easy for an AI agent to quickly understand the core function.

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 this is a mutation tool (sending email) with no annotations, no output schema, and 7 parameters, the description is incomplete. It doesn't address authentication needs, error handling, response format, or behavioral constraints that would help an AI agent use it correctly. The 100% schema coverage helps with parameters but doesn't compensate for missing behavioral 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?

The description adds no parameter-specific information beyond what's already in the schema, which has 100% coverage with detailed descriptions for all 7 parameters. According to scoring rules, when schema_description_coverage is high (>80%), the baseline is 3 even with no param info in the description, which applies here.

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 'Composes and sends a new email' clearly states the verb ('composes and sends') and resource ('a new email'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'read-email' or 'list-emails' beyond the basic action, which prevents 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.

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. There's no mention of prerequisites (e.g., authentication status), when not to use it (e.g., for reading existing emails), or explicit alternatives among the sibling tools like 'read-email' or 'search-emails'.

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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