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

With no annotations provided, the description carries the full burden of disclosing behavior—return format, side effects, prerequisites, or whether this is a pure computation. It discloses nothing beyond the name. An agent cannot know whether this tool computes a value, expects input data, or returns an explanation.

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 extremely short, but this is under-specification rather than genuine conciseness. The two repeated phrases carry no informational value and do not earn their place—there is no useful content to be concise about.

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?

Adjusted R-squared is a nontrivial statistical concept that requires data inputs and produces a computed value, yet the description provides no context about inputs, outputs, or relationship to sibling tools. With no output schema and no annotations, an agent has essentially no information to decide whether or how to invoke this 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?

The input schema has zero parameters, and schema description coverage is 100% (empty schema). Per the baseline for 0 params, the description is not required to explain parameters. However, the description also fails to confirm that the tool intentionally takes no input, which would have clarified the unusual zero-parameter schema for a statistical metric.

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 'Adjusted R Squared: Adjusted R Squared' is a pure tautology—it merely restates the tool name in a label/value format. It provides no verb, no resource, and no statement of what the tool actually does, so an agent cannot determine its function from the description alone.

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?

No guidance is given for when to use this tool versus alternatives like x402-r-squared or x402-r2-score. The description contains no context, no exclusions, and no pointers to related tools, leaving the agent to guess based solely on the name.

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