emails_batch_read

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

With no annotations provided, the description carries full burden but only states it's a read operation. It lacks details on permissions required, rate limits, pagination, error handling for invalid IDs, or what data is returned (e.g., full email content vs. metadata). This is inadequate for a batch tool with complex input structure.

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, clear sentence with no wasted words. It's front-loaded with the core action and efficiently conveys the batch nature, making it easy to scan and understand at a glance.

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 complexity (batch operation with nested input objects), lack of annotations, and no output schema, the description is incomplete. It doesn't address behavioral aspects like performance, limitations, or return format, leaving significant gaps for an AI agent to use the tool effectively.

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?

Schema description coverage is 0%, so the description must compensate but adds nothing about parameters. It doesn't explain that 'inputs' is an array of objects with 'id', 'properties', and 'associations', or their purposes (e.g., 'properties' for specific fields, 'associations' for related data). This leaves key semantics undocumented.

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 verb ('Read') and resource ('multiple email records'), specifying it's a batch operation ('in a single request'). It distinguishes from individual read tools like 'emails_get' by emphasizing batch capability, though it doesn't explicitly contrast with 'emails_list' or 'emails_search' for broader queries.

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?

No guidance is provided on when to use this tool versus alternatives like 'emails_get' (for single emails), 'emails_list' (for listing all emails), or 'emails_search' (for filtered searches). The description implies batch reading but doesn't specify use cases like efficiency for multiple known IDs.

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