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ElizioMartins

mcp-emailjs

validate_config

Validates EmailJS credentials and template ID by sending a test email with empty parameters. Returns clear feedback on configuration issues; consumes send quota.

Instructions

Validate EmailJS credentials and template ID. WARNING: EmailJS has no dry-run endpoint, so this performs a real send with empty template params — it consumes send quota and may deliver an email if the template has no required variables. Returns a clear message indicating which part of the configuration is invalid.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
template_idYesEmailJS template ID to validate
service_idNoEmailJS service ID. Overrides EMAILJS_SERVICE_ID env var.
user_idNoEmailJS public key. Overrides EMAILJS_PUBLIC_KEY env var.
accessTokenNoEmailJS private key for extra security. Overrides EMAILJS_PRIVATE_KEY env var.
Behavior4/5

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

With no annotations, the description carries the full burden. It explicitly warns that this tool performs a real send, consumes quota, and may deliver an email, which is critical behavioral information. However, it lacks details about return format or validation criteria beyond a 'clear message'.

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 two sentences long, front-loading the purpose and then providing essential behavioral warning. Every sentence serves a purpose with no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given there is no output schema, the description adequately explains what the tool does and notes important side effects. It could mention what a successful validation returns, but the promise of a 'clear message' is sufficient for most agents.

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?

Schema description coverage is 100%, so baseline is 3. The description adds high-level context but does not elaborate on individual parameter usage beyond what the schema already provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Validate EmailJS credentials and template ID.' This is a specific verb+resource combination that distinguishes it from sibling tools like 'send_email' and 'get_email_history'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides context about the tool's side effects (real send, quota consumption) but does not explicitly state when to use or not use this tool versus alternatives. No direct comparison to siblings is given.

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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