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Lint an email

lint

Check emailmd markdown for deliverability, accessibility, and readability issues like missing alt text, HTTP links, Gmail clip limit, spam triggers, and more. Fix warnings before sending.

Instructions

Check emailmd markdown for deliverability, accessibility, and readability problems without rendering it: missing alt text, http:// links, Gmail's 102KB clip limit, generic link text, spam-trigger phrases, and more. Fix warnings before sending; suggestions are sometimes intentional (e.g. transactional emails without an unsubscribe link).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
markdownYesThe emailmd markdown document, optionally starting with YAML frontmatter.
partialsNoNamed markdown partials spliced in wherever the document says "::: include <name>".
Behavior4/5

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

Since no annotations are provided, the description carries the full burden. It discloses that the tool checks for problems and does not render, and notes that suggestions can be intentional. However, it does not describe the output format or error behavior.

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

Conciseness4/5

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

The description is concise (two sentences) and front-loads key information. It efficiently lists specific issues, but could be slightly more structured.

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?

Given no output schema, the description fails to explain what the tool returns (e.g., list of warnings, success/failure). It also does not fully explain how the 'partials' parameter works, leaving some gaps for the agent.

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 coverage is 100%, so the baseline is 3. The description adds minor value by mentioning 'emailmd markdown' and partials splicing, but does not significantly enhance parameter understanding 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 checks emailmd markdown for deliverability, accessibility, and readability problems, listing specific issues like missing alt text and http:// links. It distinguishes itself from siblings (render, read_docs) by focusing on linting without rendering.

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 implies using the tool before sending to fix warnings, but does not explicitly state when not to use it or provide direct comparisons to alternatives. The context of 'check without rendering' is useful.

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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