ga4_user_demographics

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

With no annotations provided, the description alone must convey behavioral traits. It only says 'get', implying read-only, but does not disclose potential limitations, required permissions, date handling, or what the response contains. This minimal transparency leaves significant assumptions.

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 a single, concise sentence of 11 words, directly stating the tool's purpose. It is perfectly front-loaded and contains no unnecessary verbiage, earning a top score for conciseness.

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?

The description is adequate for a simple query tool, especially with complete schema parameter documentation. However, with no output schema and no annotations, it lacks guidance on return format, date usage, and required propertyId, leaving some gaps in completeness.

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%, so all parameters are already documented. The description adds marginal value by listing 'country, city, or language' which matches the dimension enum, but it does not provide additional meaning or usage context beyond the schema.

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 clearly states the tool's function: getting user demographics breakdown by country, city, or language for a GA4 property. This distinguishes it from sibling tools like ga4_top_pages or ga4_run_report, which have different focuses.

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 usage for demographic breakdowns but does not explicitly state when to use it versus alternatives or mention any exclusions. There is no direct comparison to sibling tools, though the tool name and description provide enough context for an informed guess.

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