Skip to main content
Glama
hshen-ai

zscaler-aiguard-control-plane-mcp

by hshen-ai

check_application_references

Check whether an LLM application is referenced by any active match rules to safely remove or modify it.

Instructions

Check if an LLM application is referenced by any active match rules.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
app_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description carries full burden. It implies a read-only check but does not explicitly state non-destructive behavior, auth needs, or rate limits. Adequate but minimal.

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?

Single sentence, front-loaded with action and resource. No redundancy; every word earns its place.

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?

Given an output schema exists (not shown), description needn't detail return values. The tool is simple, and the description covers purpose adequately. However, mentioning output format would be slightly more 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?

Schema coverage is 0%, requiring description to compensate. The single parameter 'app_id' is not explained beyond its type; no guidance on how to obtain it (e.g., from list_llm_applications).

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 tool checks if an LLM application is referenced by active match rules, using a specific verb and resource. It distinguishes from sibling tools like list_llm_applications or update_match_rule.

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 explicit guidance on when to use this tool versus alternatives. It does not mention prerequisites or scenarios like before deleting an app, despite context from siblings suggesting its utility.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/hshen-ai/zscaler-aiguard-control-plane-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server