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

Beyond the annotations, the description discloses substantial behavioral traits: all inputs are validated before any write, every error is reported at once, nothing is created on failure, and all components commit atomically. It also documents the ValueError condition when publish=True and the URI is already taken, including that the message suggests an alternative.

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 front-loaded with the core action, then follows with requirements and behavioral guarantees in a logical order. It is efficient and avoids repetition, though the Raises section is slightly docstring-like and could be trimmed.

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 complex 12-parameter creation tool with nested objects and an existing output schema, the description covers the essential required inputs, atomic commit behavior, and error reporting. It does not explain all parameter interactions (e.g., greeting overriding empty_state is left to the schema), but the key behavioral context is present.

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 the schema already documents each parameter thoroughly, including defaults, enums, and nested field definitions. The description reinforces the required nature of welcome screen and data_collection but adds no new semantics beyond what the schema provides.

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 opens with a specific verb and resource: 'Create a fully-configured, data-collecting AI agent in one call.' It distinguishes itself from partial-management siblings by emphasizing all-in-one creation ('not a bare shell'), but it does not explicitly name an alternative such as gnosari_update or the gnosari_manage_* 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?

It clearly states the context: use this to produce a live-ready intake agent, with welcome screen and data_collection template as required. It also notes when to set greeting (which suppresses the empty state) and when to use publish=True, but it does not describe when *not* to use this tool or point to specific alternatives.

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