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zpa_get_lss_log_format

Read-only

Retrieve pre-configured LSS log format templates (CSV, JSON, TSV) for a specific source log type to verify which fields ZPA serializes into the SIEM stream.

Instructions

Get the pre-configured LSS log format templates (csv / json / tsv) for a given source log type. Useful for confirming exactly which fields ZPA serializes into the SIEM stream (read-only).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
log_typeYesHuman-readable LSS log type (e.g. `user_activity`, `audit_logs`, `app_connector_metrics`). Use `zpa_list_lss_log_types` to discover the valid values.
serviceNoThe service to use.zpa

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint=true, and the description reinforces this with '(read-only)' and mentions 'pre-configured' templates. This adds context about the non-destructive nature without contradicting annotations.

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?

Two concise sentences, front-loaded with the core purpose. Every word contributes value with no redundancy.

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

Completeness5/5

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

Given the tool has only 2 parameters, an output schema, and clear annotations, the description provides sufficient context for use. It covers the purpose, usage context, and safety (read-only), making it complete.

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 coverage is 100% with both parameters described. The description does not add significant semantic value beyond the schema, only relating log_type to 'given source log type'. Baseline 3 applies.

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

Purpose5/5

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

The description uses specific verb 'Get' and resource 'pre-configured LSS log format templates' with explicit formats (csv/json/tsv). It clearly defines what the tool does and distinguishes it from sibling get_* tools by focusing on log format templates.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description states it is 'useful for confirming exactly which fields ZPA serializes into the SIEM stream', providing a clear use case. However, it does not explicitly mention when not to use or alternative tools like zpa_list_lss_log_types, though the context implies it.

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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