generate_names

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

Without annotations, the description carries full burden. It details the naming convention and parameter values, which is sufficient for a name generation tool. However, it does not explicitly state that no side effects occur or that the output is a formatted string, but these are reasonably inferred.

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 well-structured with a brief intro, convention block, and args list. It is front-loaded but the args list is slightly lengthy; however, every sentence adds necessary value. It could be slightly more concise, but it's not wasteful.

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?

Given the tool's simplicity and lack of output schema, the description covers all necessary aspects: purpose, naming convention per object type, and detailed parameter values. It is complete for an AI agent to select and invoke the tool correctly.

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 0%, so the description fully compensates by listing each parameter with its allowed values (e.g., objective options, audience_type patterns). It adds meaning beyond type and default, providing the naming convention and examples, which is excellent.

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 generates correctly named Meta Ads objects following a specific naming convention. It provides distinct patterns for campaign, ad set, and ad, making its purpose unambiguous and differentiating it from sibling CRUD tools.

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 implicitly conveys that the tool is used to generate names before creating objects, but it does not explicitly state when to use it versus alternatives or what not to use it for. The context is clear, but exclusion guidance is missing.

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