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

Annotations already indicate a safe read-only operation. The description adds valuable behavioral context: data currency as of May 2026, the specific states covered, the patchwork nature of obligations, the source (NCSL + Stratalize), and per-call pricing. No contradiction with the annotations.

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

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

The description is front-loaded with the primary use case and contains relevant context, an illustrative example, source, and pricing. Though somewhat verbose, each section contributes useful decision-making information for an agent.

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

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

For a single-parameter read-only tool with no output schema, the description provides adequate context: scope, intended use cases, source, data currency, and cost. It does not detail the exact response structure, but this is a minor gap given tool simplicity and available annotations.

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

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

Schema description coverage is 100%, and the schema already documents the optional `state` parameter including the 'omit for national summary' behavior. The description does not add significant parameter-level meaning beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states what the tool does: maps US state AI regulatory compliance obligations and provides jurisdiction-specific landscape information. It clearly differentiates from sibling tools like get_colorado_ai_act_requirements and get_eu_ai_act_coverage by emphasizing multi-state US coverage.

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

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description opens with 'Use when' and enumerates three concrete scenarios: mapping multistate compliance obligations, advising on jurisdiction-specific deployment requirements, and briefing legal/compliance teams. It provides clear context but does not explicitly mention alternatives or when not to use the tool.

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