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

Annotations declare readOnlyHint=false, openWorldHint=false, idempotentHint=false and destructiveHint=false, so the mutation/session-creation character must come from the text. The description supplies it ('Returns a session ID and the profiling questionnaire') and adds the 'Informational only - presents a framework, not advice' disclaimer. It does not cover rate limits or what happens to an existing session.

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?

Front-loaded with the core action, then the register mechanics, then the usage triggers, then the return value. The sentence about the Privacy Act's 10 December 2026 disclosure is a long embedded clause that could be trimmed, but overall the density is justified for a zero-parameter entry-point tool.

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?

No output schema exists, and the description explains what comes back (session ID plus questionnaire) and how the flow continues. It stops short of naming the sibling submit_ai_governance_profile as the next step, which would have closed the loop on the multi-tool workflow.

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?

Zero parameters, so the baseline is 4. The description usefully explains that no upfront input is expected because profile facts (industry, size, turnover, states, AI use cases, data types) are matched to the register's fixed categories and confirmed with the user, which is more than the empty schema conveys.

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?

States a specific verb and resource: identifies the Australian legislation applicable to an organisation's AI use and builds a governance framework around it. The two-sentence scope (register-driven applicability, Privacy Act 1988 plus sector instruments) clearly separates it from a plain framework fetch or profile submission.

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?

Explicit routing: 'Use this when an Australian business asks what AI governance it needs, what rules apply to its use of AI, or asks for an AI governance framework or policy structure.' It also handles the subtler case where the profile is already described in conversation, stating details are confirmed rather than re-collected.

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