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zscaler-mcp-server

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zms_list_resources

Read-only

List ZMS resources (workloads).

Instructions

List ZMS resources (workloads).

Read-only. Returns one row per workload (id, name, type, status, cloud provider/region, OS, IPs). Filter by name/status/type/provider/region/OS. Requires ZSCALER_CUSTOMER_ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
queryNoOptional JMESPath expression applied to the results after the API call, for client-side filtering and projection. Examples: "[?enabled==`true`]", "[*].{name: name, id: id}", "length(@)". Omit to get the full records. IMPORTANT: field names are the keys of the returned records, which are usually snake_case (`custom_category`) even where the Zscaler API documents camelCase (`customCategory`) — guessing the spelling yields an empty list that looks like a real answer. If you have not already seen a record from this tool, call it once without `query` and read the keys off the response.
statusNo
page_numNo
page_sizeNo
sort_orderNo
platform_osNo
cloud_regionNo
resource_typeNo
cloud_providerNo
include_deletedNo
Install Server

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the 'Read-only' line repeats that, but the description adds valuable context: one row per workload, key returned fields, supported filter dimensions, and the ZSCALER_CUSTOMER_ID authentication requirement. Pagination and rate-limit behavior are not disclosed, but this is reasonably transparent for a list tool.

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 short and front-loaded. Every sentence serves a distinct purpose: operation, return shape, filter dimensions, and auth requirement. There is no unnecessary prose or repetition of schema-visible defaults.

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

Completeness4/5

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

Without an output schema, describing returned fields is important and done well. The description does not explicitly mention pagination, sorting, or include_deleted, but those parameters are fairly self-explanatory, and the result shape plus auth are covered. For a moderate-complexity read-only list tool, this is sufficient guidance.

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 only 9%, so the description must compensate. It maps friendly filter names like 'type', 'provider', 'region', and 'OS' to schema concepts (resource_type, cloud_provider, cloud_region, platform_os), which is helpful. However, it omits query, page_num, page_size, sort_order, and include_deleted; the query parameter is thoroughly described in the schema itself, but the others are only self-evident from their names.

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 opens with a specific verb+resource: 'List ZMS resources (workloads).' The parenthetical and the enumerated return fields (id, name, type, status, cloud provider/region, OS, IPs) make the target object unambiguous, distinguishing it from sibling tools like zms_list_agent_groups or zms_list_resource_groups.

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 read-only nature and filterable fields imply its usage: list workloads when you need resource inventory. However, it does not explicitly state when to prefer this over sibling list tools or when not to use it, so the guidance is implied rather than explicit.

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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