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email_generate_react

Generate React Email components in your project directory for reusable, maintainable email templates.

Instructions

Generate React Email components

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
directoryYesProject directory
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not say whether the tool writes files into the given directory, whether it overwrites existing components, whether it requires network access, or what the api_key is used for. A bare 'generate' gives no side-effect or safety signal.

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

Conciseness3/5

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

At five words, the description is maximally short and well front-loaded. But it is under-specified rather than efficiently concise: it omits context that one or two additional sentences would easily carry, so the brevity costs more than it saves.

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?

For a generator with no annotations, no output schema, and one completely undocumented parameter, the description leaves too much to inference: output format, side effects on the directory, the role of api_key, and how it relates to the email sibling tools. An agent deciding between this and email_generate_html has no basis in the description.

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

Parameters2/5

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

Schema description coverage is only 50% — api_key has no description in the schema and the tool description mentions neither parameter. The description fails to compensate for the undocumented api_key: an agent cannot tell what kind of key is expected, why it is needed, or whether directory should be a project root or an existing components folder.

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 states a clear verb+resource: 'Generate React Email components'. It is unambiguous about the artifact being produced. However, it nearly restates the tool name (email_generate_react), and it does not explicitly differentiate from siblings like email_generate_html or email_generate_system — the word 'React' is the only distinguishing signal, which counts as 'clear but no sibling differentiation' rather than full differentiation.

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 offers zero guidance on when to use this tool versus email_generate_html, email_generate_system, sendgrid_generate_integration, or sendgrid_setup_templates. No conditions, exclusions, or alternative names are mentioned — the agent must guess from the name alone.

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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