email_mark_unread
Mark one or more email messages as unread to flag them for later review.
Instructions
Mark one or more messages as unread.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| message_ids | Yes | Array of message IDs |
Mark one or more email messages as unread to flag them for later review.
Mark one or more messages as unread.
| Name | Required | Description | Default |
|---|---|---|---|
| message_ids | Yes | Array of message IDs |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears full burden. It only states the basic action (mark as unread) without disclosing any side effects, prerequisites, or additional behavioral traits like batch limits or notification implications.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence of 5 words, front-loaded with the core action. No extraneous information; every word is necessary.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (one parameter, no output schema, no annotations), the description is minimally viable. It omits potential constraints like ownership or batch size but covers the essential function.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema covers 100% of parameters with a description stating 'Array of message IDs'. The tool description adds no extra meaning beyond what the schema provides, earning a baseline score.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action 'mark' on the resource 'messages' with the specific state change 'as unread'. It distinguishes from sibling tools like email_mark_read and email_star by using opposite or distinct state verbs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool vs alternatives such as email_mark_read or email_star. Usage context is implied but not explicitly stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Aftab-web-dev/email-mcp-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server