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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is fully covered elsewhere. The description adds no behavioral context beyond the demographic framing: nothing about whether an ad_account_id must be resolved first, how date_preset defaults or constrains results, or whether the call is expensive/open-world in practice.

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?

Two short sentences, front-loaded with the core purpose. Minor redundancy in restating 'age and gender' twice, but there is no filler or buried lead.

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?

There is no output schema, yet the description never says what 'results' contains (rows per age×gender combination, which metrics, any row limits or level aggregation). For a reporting tool with four parameters and no return-value documentation, the definition leaves the agent guessing about the shape and cost of the response.

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 coverage is 75%, with date_preset carrying no description at all and campaign_id/adset_id minimally labeled. The description mentions no parameters, so it does not compensate: it never says date_preset is required, that ad_account_id comes from list_ad_accounts, or that campaign/adset IDs act as optional narrowing filters.

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 states a specific verb+resource: a performance breakdown of Meta ad results segmented by age and gender demographics. It is clearly distinct in subject matter from siblings such as get_ad_performance_by_device or get_audience_insights, though it never explicitly names those alternatives.

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 only usage signal is the vague clause 'Use for audience optimization analysis,' which implies a context but gives no when-not conditions. It does not tell the agent to prefer get_audience_insights, get_ad_performance_by_device, or get_ad_performance_by_placement for adjacent questions.

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