bulk_mark_read
Mark multiple emails as read in a specified folder by providing the folder name and email IDs.
Instructions
Mark multiple emails as read (adds \Seen).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| folder | Yes | ||
| email_ids | Yes |
Mark multiple emails as read in a specified folder by providing the folder name and email IDs.
Mark multiple emails as read (adds \Seen).
| Name | Required | Description | Default |
|---|---|---|---|
| folder | Yes | ||
| email_ids | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Without annotations, the description carries the full burden. It discloses that it adds the \Seen flag, which is the core behavior, but lacks details on error handling, reversibility, or authorization requirements, leaving gaps for an AI agent.
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 with no unnecessary words, efficiently communicating the core purpose without overhead.
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?
The description is too minimal for a bulk operation with no output schema. It does not explain return behavior, partial success handling, or how failures are reported, leaving the agent underinformed.
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 description adds no explanation for the two required parameters (folder and email_ids). With 0% schema description coverage, the agent must rely solely on parameter names, which is insufficient for correct invocation.
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 as read) and the scope (multiple emails), distinguishing it from siblings like mark_read (singular) and bulk_mark_unread (opposite action).
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 implies usage for multiple emails but does not explicitly state when to use this tool versus alternatives like bulk_mark_unread or mark_read, nor does it mention any prerequisites or caveats.
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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