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get_email_log

Retrieve complete email log details including message body and headers from ServiceNow to analyze communication records and troubleshoot email-related issues.

Instructions

Get full details of an email log entry including body and headers

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sys_idYesEmail log sys_id
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 states this is a 'Get' operation, implying read-only behavior, but doesn't disclose any behavioral traits such as authentication requirements, rate limits, error conditions, or what happens if the sys_id is invalid. This leaves significant gaps for a tool that likely accesses sensitive email data.

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 front-loads the core purpose ('Get full details of an email log entry') and specifies key inclusions ('including body and headers'). There is no wasted verbiage or redundancy.

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 simplicity (one parameter, no output schema, no annotations), the description is minimally adequate. It explains what the tool does but lacks behavioral context and usage guidelines. For a read operation, this might suffice, but the absence of output details or error handling information leaves room for improvement.

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?

The input schema has 100% description coverage, with the single parameter 'sys_id' documented as 'Email log sys_id'. The description adds no additional parameter semantics beyond implying the sys_id identifies a specific email log entry. This meets the baseline for high schema coverage.

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 action ('Get full details') and resource ('email log entry'), specifying what details are included ('body and headers'). However, it doesn't differentiate from sibling tools like 'list_email_logs' or 'get_sys_log', which might provide similar or overlapping functionality.

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?

The description provides no guidance on when to use this tool versus alternatives. With sibling tools like 'list_email_logs' (likely for listing) and 'get_sys_log' (possibly for general logs), there's no indication of when this specific email log retrieval is appropriate or what prerequisites exist.

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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