send_quote_email
Send a quote to a client via email using the quote ID.
Instructions
Send a quote to the client by email
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| quote_id | Yes | Quote ID (hashed string) |
Send a quote to a client via email using the quote ID.
Send a quote to the client by email
| Name | Required | Description | Default |
|---|---|---|---|
| quote_id | Yes | Quote ID (hashed string) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, but it only states the action without mentioning side effects, required permissions, idempotency, or what happens upon success/failure.
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 a single, clear sentence with no wasted words. It is appropriately concise and front-loaded, though it could be expanded with minimal context without losing conciseness.
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 tool with one required parameter and no output schema, the description is complete enough to convey the primary action. However, it lacks important behavioral details like whether the quote must be in a specific state, which reduces completeness.
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 100% for quote_id, so the baseline is 3. The description does not add any information about the parameter beyond what the schema provides, but also does not hinder understanding.
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 (send) and the resource (quote via email). It distinguishes from sibling tools like send_invoice_email by specifying 'quote' instead of 'invoice', but does not elaborate on the recipient or prerequisite state.
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 on when to use this tool versus alternatives such as send_invoice_email or approve_quote. The description lacks any context about prerequisites or recommended usage scenarios.
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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curl -X GET 'https://glama.ai/api/mcp/v1/servers/ambaloo/invoiceninja-mcp'
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