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list_email_logs

Retrieve and filter outbound email logs to monitor sent and failed messages by state, recipient, or subject.

Instructions

List outbound email log entries to track sent/failed emails

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoFilter by state: sent, failed, ready, sending, ignored
recipientNoFilter by recipient email address
subjectNoFilter emails by subject (partial match)
limitNoMax records to return (default 25)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'track sent/failed emails' which implies read-only behavior, but doesn't disclose pagination, rate limits, authentication needs, or what happens with large datasets. For a list tool with zero annotation coverage, this is a significant gap in behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded with the essential information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (list operation with filtering), 100% schema coverage, and no output schema, the description is minimally adequate. It covers the basic purpose but lacks details on behavior, usage context, and output format, which would be helpful for an agent to use it effectively.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all four parameters with their purposes. The description doesn't add any parameter-specific information beyond what's in the schema, maintaining the baseline score of 3 for adequate but not enhanced parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('List') and resource ('outbound email log entries') with a specific purpose ('to track sent/failed emails'). It distinguishes from other list_* tools by focusing on email logs, though it doesn't explicitly differentiate from potential similar tools like get_email_log (which appears to be singular retrieval).

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. The description doesn't mention prerequisites, limitations, or when to choose this over other email-related tools (like get_email_log for single entries). It simply states what it does without context.

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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