get_automation_email_queue

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

The description includes authentication method ('Authenticated via API key'), rate limits ('max 10 concurrent requests'), safety ('Read-only, safe to retry'), and return structure, all beyond the non-existent annotations. No contradictions.

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 structured into clear sections: purpose, usage, authentication/limitations, arguments, returns, and example. Every sentence adds value, and the most important information is front-loaded.

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 complexity and the presence of an output schema (though not shown), the description covers all necessary context: prerequisites, authentication, rate limits, return format, and an example. It is fully adequate for the AI agent to use the tool correctly.

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 provides detailed explanations for both parameters beyond the schema, including example values and how to obtain them (e.g., 'Obtain from list_automations'). This compensates for the 0% schema description coverage.

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 'Retrieve the queue of subscribers about to receive a specific automation email', specifying the action (retrieve) and resource (automation email queue). It distinguishes from sibling tools like 'get_automation_emails' by mentioning it as a prerequisite.

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 explicitly says 'Use to see who is waiting to receive a particular email in a workflow' and 'Use get_automation_emails first to find email_id values within the workflow', providing clear when-to-use and prerequisites.

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