direct.hf.create_text_ads_bulk

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

No annotations are provided, so the description carries the full disclosure burden and falls short. It does not explain that this is a mutation, what apply/dry_run actually control (preview vs commit), whether it requires Direct Client-Login permissions, or what happens on partial failure across a batch. The presence of apply and dry_run flags in the schema suggests meaningful behavior the description never addresses.

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?

It is a single front-loaded sentence with no wasted words, which is good. However, at this level of brevity it becomes under-specification rather than conciseness for a six-parameter batch mutation, so it cannot score higher.

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 six-parameter bulk-write tool with no annotations, no output schema, and 33% schema coverage, the description is far too thin. It does not tell the agent how to build the ads payload, how dry_run/apply interact, or what a successful batch response looks like.

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 only 33%, and the description compensates for none of it. It hints at an ad group and multiple ads, loosely mapping to adgroup_id and the ads array, but says nothing about the shape of the ads objects, apply/dry_run semantics, or account_id vs direct_client_login. The undocumented parameters remain fully opaque.

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 concrete verb and resource: create multiple TextAds, scoped to an ad group. That distinguishes it from sibling create_ads and update_ads_text_bulk by the bulk-create intent, though it never names those siblings explicitly. The 'Human-friendly' prefix is filler that adds no distinguishing information.

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?

There is no when-to-use guidance, no prerequisites, and no mention of the alternatives (direct.create_ads, direct.hf.update_ads_text_bulk). 'Human-friendly' vaguely implies a higher-level wrapper over a raw API call, but the agent gets no condition for choosing this tool.

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