About the Open Humanizer

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

With no annotations provided, the description carries the burden of behavioral disclosure. It clearly communicates that the tool returns descriptive information about the model's background and the endpoint, implying a read-only informational operation with no side effects. It does not elaborate on output format, but for a simple informational tool the scope is adequately disclosed.

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 a single well-structured sentence that front-loads the core action and resource before listing the specific topics covered. Every clause contributes meaningful scope information, and there is no filler, repetition, or unnecessary detail.

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 zero-parameter informational tool, the description is largely complete: it tells the agent what the tool will explain and which endpoint detail is included. It does not mention an output format or explicitly distinguish itself from the sibling, but given the simple nature of an 'about' tool and no output schema, nothing critical is missing.

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?

The tool has zero parameters, so the baseline of 4 applies. There is no parameter meaning to add because the schema is empty and the description correctly focuses entirely on what the tool does rather than trying to document nonexistent inputs.

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 uses the specific verb 'Describe' with a clear resource, 'the GoHumanize Open Humanizer', and enumerates the exact aspects covered: what it is, training, publication locations, and server endpoint. This makes the tool's purpose immediately distinct from the sibling 'humanize_text', which clearly performs a transformation rather than providing background 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?

The description clearly frames this as an informational tool for learning about the model, which is a distinct context from using 'humanize_text' to actually rewrite text. However, it does not explicitly state when not to use this tool or name the sibling as the alternative for text humanization, so the routing is implied rather than explicit.

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