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zdx_get_deeptrace_cloudpath_metrics

Read-only

Get curated, nested time-series cloud-path metrics captured during a ZDX deep trace for a specified device and trace ID.

Instructions

Get cloud-path metrics captured during a ZDX deep trace (curated, nested time-series JSON). Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoOptional JMESPath expression applied to the results after the API call, for client-side filtering and projection. Field names are exactly what the Zscaler API returns. Examples: "[?enabled==`true`]", "[*].{name: name, id: id}", "length(@)". Omit to get the full records.
trace_idYes
device_idYes
Behavior3/5

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

The description adds context about the output format ('curated, nested time-series JSON') beyond the readOnlyHint annotation. However, it does not disclose other behavioral traits like pagination, result limits, or any side effects. With annotations covering safety, this is sufficient but not exemplary.

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

Conciseness4/5

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

The description is extremely concise: one sentence plus 'Read-only'. It is well-structured for a simple tool, though slightly more detail on output could be added without harming conciseness.

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 complexity of nested time-series data and the lack of an output schema, the description is minimally helpful. It hints at the output format but omits details like fields, pagination, or error handling. This is adequate for a low-complexity tool but not complete.

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

Parameters2/5

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

Input schema covers 3 parameters with only 33% description coverage (only query has a description). The tool description adds no additional meaning for device_id and trace_id. For a low-coverage schema, the description should compensate but fails to do so.

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 clearly states the action 'Get' and the resource 'cloud-path metrics captured during a ZDX deep trace'. The parenthetical about curated nested time-series JSON adds specificity. Among sibling tools, this uniquely identifies the cloud-path metrics variant.

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

Usage Guidelines3/5

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 vs. alternative deep trace tools (e.g., events, health metrics). Usage is implied only by the tool name and context, but no explicit when/when-not or alternatives are given.

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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