Skip to main content
Glama
seandkendall

productivity-mcp

by seandkendall

list_drafts

Retrieve pending email drafts, with optional account filter and result limit.

Instructions

List pending email drafts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations, the description must convey behavioral context, but it only states the generic list operation. It does not mention authentication, whether drafts are ordered, or that the 'limit' parameter controls pagination.

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 single sentence is concise and front-loaded, but it lacks any additional structure (e.g., parameter hints or usage notes). It earns its place but could be more informative without bloat.

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 the presence of an output schema and two optional parameters, the description is incomplete. It does not explain the expected return format, behavior of 'account' (null means primary?), or the effect of 'limit'.

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

Parameters1/5

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

The schema has 0% description coverage, and the description adds no information about the 'account' or 'limit' parameters. The agent must infer their meaning from names alone, which is insufficient.

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 'List pending email drafts' clearly states the verb (list) and the resource (pending email drafts), distinguishing it from siblings like 'list_emails' which lists all emails.

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 (e.g., 'list_emails' for all emails, 'save_draft' for saving). There are no exclusionary notes or context for typical use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/seandkendall/productivity-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server