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googlarz

Proton Mail Bridge MCP

by googlarz

render_template

Read-only

Render a saved email template, substituting {{variable}} placeholders with provided values. Unfilled placeholders stay literal and are listed, so you can pass the result to send_email.

Instructions

Render a saved template's subject and body, substituting {{variable}} placeholders with the given values. Placeholders left unfilled stay literal (e.g. {{firstName}}) and are listed in missingVariables. Pass the result to send_email.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe template id.
variablesNoMap of variable name to replacement value, e.g. { "firstName": "Alex" }.
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description adds useful behavioral context: unfilled placeholders remain literal and are listed in missingVariables. This goes beyond the schema by explaining what happens during rendering, though the return format is not fully enumerated.

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?

Two sentences with no filler. The action is front-loaded, and every sentence adds value: purpose, behavior, and next step are covered efficiently.

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?

For a simple tool with two parameters and no output schema, the description covers purpose, behavior, and usage. The return value is implied (rendered subject/body and missingVariables) but not explicitly stated as a structured output, leaving minor ambiguity.

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 the schema already documents both parameters. The description's mention of placeholder substitution aligns with the variables parameter but does not add significant parameter-level detail beyond the schema.

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 function with a specific verb ('Render') and resource ('saved template'), and distinguishes it from sibling tools like send_email by framing rendering as a preparatory step ('Pass the result to send_email').

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

Usage Guidelines4/5

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

The description provides clear usage context by instructing to pass the result to send_email, implying when this tool should be used. It does not explicitly name alternative tools to avoid or exclude scenarios, but the intended workflow is unambiguous.

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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