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

Annotations already cover read-only, idempotent, and non-destructive behavior. The description adds useful behavioral context by stating that it uses a fixed synthetic table (no user data) and by listing the output categories returned: answer, numbers, interpretation, warnings, and next action.

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 two sentences, front-loads the main behavior, and contains no filler. Every phrase ('instant', 'upload-free', 'fixed synthetic survey table') adds meaning.

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 zero-parameter demo tool, the description covers what happens, what data is used, and what is returned. It is slightly vague on the exact shape of the returned 'answer' and what 'next action' means, but nothing essential is missing for calling the tool.

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?

With zero parameters and effectively full schema coverage, the parameter dimension is vacuous. The description still adds semantic context by clarifying that the analysis is upload-free and uses a fixed synthetic table, making it clear why no user input is required.

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 names a specific action ('Run an instant, upload-free tour') and a concrete resource ('a fixed synthetic survey table'), which clearly distinguishes the tool from siblings like analyze_survey or import_dataset. It also enumerates what it returns, leaving little doubt about what a call accomplishes.

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 implies the tool is for exploring the platform without uploading data ('upload-free tour'), but it never explicitly states when to prefer it over alternatives such as get_started or run_analysis_plan. No exclusions or conditions are provided, so the guidance is implicit rather than explicit.

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