zerodom_fill_node

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

With no annotations, the description carries the full behavioral burden. It discloses that the text is echoed back, that the diff is specifically structural, and gives concrete examples of what structural change means. It does not cover every side effect, but it provides meaningful transparency.

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 compact and front-loaded. Both sentences earn their place: the first states the operation, and the second clarifies the meaning of the diff output.

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 tool is simple and has an output schema, so return-value explanation is less necessary. However, with no annotations and no parameter documentation, the description leaves node_id semantics and the relationship to sibling tools implicit, creating a noticeable gap.

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% and the description does not explain node_id at all. Text is only implied by 'Type text,' and there is no discussion of node_id format, how to obtain it, or how the two parameters relate. The property names themselves carry the only meaning.

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 action ('Type text into a node') and its observable outcome ('return what changed on the page'). This clearly distinguishes it from sibling tools like click, read, find, and parse.

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 context of use is clear: it is for entering text into a node and checking structural side effects such as validation errors or autocomplete. It does not explicitly mention alternatives or say when not to use it, but the behavior is distinct enough from the siblings.

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