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dgalarza

Buttondown MCP Server

by dgalarza

update_draft

Update an existing email draft by changing its subject, body, slug, audience type, or description.

Instructions

Update an existing draft email

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe email ID to update
bodyNoNew body content (supports markdown)
slugNoNew URL slug
subjectNoNew subject line
email_typeNoNew audience type
descriptionNoNew description
Behavior2/5

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

With no annotations, the description carries the full burden but only says 'update an existing draft email.' It does not disclose whether updates are partial or full, what happens to missing fields, or any side effects. This is minimal behavioral detail.

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 a single sentence with the verb 'Update' front-loaded, and it contains no unnecessary words. It is appropriately concise.

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 mutation tool with 6 parameters and no output schema or annotations, the description is too minimal. It does not explain return values, update semantics (e.g., partial vs full), or any prerequisites, leaving significant gaps.

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?

The schema description coverage is 100%, with each parameter having a clear description and an enum for email_type. The tool description itself adds no parameter details, but baseline 3 is appropriate since the schema provides sufficient semantics.

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 identifies the action (update) and the target resource (existing draft email), which distinguishes it from siblings like create_draft and send_draft. It is specific and unambiguous.

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?

No guidance is provided on when to use this tool versus alternatives. It does not mention create_draft for new drafts or send_draft for sending, leaving the agent without explicit usage context.

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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