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io.github.AIops-tools/symantec-clouddlp-aiops

io.github.AIops-tools/symantec-clouddlp-aiops

by AIops-tools

clouddlp_data_identifiers

Read-only

Lists Cloud DLP data identifiers to help you review classification labels used in DLP policies and incidents.

Instructions

[READ] List data identifiers.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "clouddlp_data_identifiers"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior2/5

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

The '[READ]' prefix merely restates the readOnlyHint=true annotation that already declares this is a safe read, so it adds no new behavioral information. Nothing is said about result size, pagination, ordering, or whether all identifier types are returned, which matters 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.

Conciseness4/5

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

A single short sentence, front-loaded with a bracketed mode tag; nothing is padded or buried. The only waste is the redundant '[READ]' marker that duplicates the annotation.

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?

With no parameters and no output schema, the definition is arguably callable as-is, but it leaves key context unstated for a list operation: whether results are paginated or truncated, and how they relate to the singular sibling. It is minimally adequate rather than complete.

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

Parameters4/5

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

The tool takes zero parameters, and the empty schema is fully described, so there is nothing for the description to clarify. Baseline 4 applies for a parameterless tool.

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 gives a specific verb (List) and resource (data identifiers), so the operation is unambiguous. It does not, however, distinguish itself from the singular sibling clouddlp_data_identifier, which an agent must infer retrieves one identifier rather than listing them.

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?

There is no when-to-use guidance, no mention of the alternative clouddlp_data_identifier for fetching a single record, and no statement of what the listing covers (built-in vs. custom identifiers). The agent must guess from the name alone.

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