Duplicate an email
yardstick_email_templates_duplicateduplicate an email. Use email_type for a built-in type or custom template key.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| email_type | Yes | ||
| request_id | No | ||
| idempotency_key | No |
yardstick_email_templates_duplicateduplicate an email. Use email_type for a built-in type or custom template key.
| Name | Required | Description | Default |
|---|---|---|---|
| email_type | Yes | ||
| request_id | No | ||
| idempotency_key | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=false, idempotentHint=false, and destructiveHint=false, so the safety profile is known. The description adds nothing beyond the action itself: it does not explain what the duplicate operation creates, whether the original is affected, or any side effects, leaving behavioral disclosure thin for a write 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 two short sentences with no filler, front-loading the action and following with the only parameter hint. It is efficient, though the second sentence mixes parameter guidance with an unfinished thought about template keys.
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 mutation tool with no output schema and 0% schema coverage, the description is too sparse. It omits what happens to the original template, what the duplicate returns, and the roles of request_id and idempotency_key, leaving the agent without enough context to invoke it confidently.
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 0%, so the description must compensate. It partially explains email_type as either a built-in type or a custom template key, which is helpful, but request_id and idempotency_key are entirely undocumented in both schema and description, leaving two of three parameters semantically empty.
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 states a clear verb ('duplicate') and resource ('an email'), matching the title and tool name. It does not distinguish this tool from sibling alternatives like email_templates_create or email_templates_read, but the core action is unambiguous.
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?
There is no guidance on when to use this tool versus alternatives such as creating a new template or reading an existing one. The sentence about email_type is parameter usage, not situational guidance, so the agent gets no context on when duplication is appropriate.
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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