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CSOAI-ORG

telecom-ai

telecom_ai_compliance

Assess telecom AI systems for regulatory compliance with net neutrality, lawful intercept, spectrum, and customer data rules. Identify potential violations based on system inputs and jurisdiction.

Instructions

Assess regulatory compliance for AI in telecom networks and services. Covers net neutrality, lawful intercept, spectrum, and customer data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
system_nameYesName of the telecom AI system
ai_functionYesFunction (network optimization, predictive maintenance, customer churn, fraud, content filtering)
data_typesYesData processed (CDRs, location, browsing, traffic, metadata)
network_impactYesImpact on network (QoS, routing, throttling, prioritization)
jurisdictionYesOperating jurisdiction (EU, US/FCC, UK/Ofcom, etc.)
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only lists areas covered but does not mention whether the tool is read-only, side effects, or any requirements like authentication. The description lacks important behavioral context.

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 a single sentence that is front-loaded with the core function. It is concise and directly states what the tool does without unnecessary words.

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

Completeness2/5

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

The description lacks information about the output format (e.g., report, score, list). No output schema exists, and the description does not explain what the user can expect as a result. For a compliance tool, this is a significant gap.

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 descriptive parameter descriptions. The tool description adds no additional meaning beyond the schema. Baseline of 3 is appropriate as the schema already defines the parameters well.

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 clearly states the tool assesses regulatory compliance for AI in telecom, and lists four specific areas (net neutrality, lawful intercept, spectrum, customer data). This provides a specific verb+resource and distinguishes the scope.

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 guidance on when to use this tool or when not to use it. No alternatives or prerequisites are mentioned. The description simply states the function without usage context.

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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