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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered; the description adds genuinely non-redundant semantics — no arguments, an unmeasured slot is not an error and not a zero, and 'never a certification'. Auth requirements and any caching behavior are unstated, keeping it off a 5.

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?

A single front-loaded sentence that establishes what the tool is before enumerating fields, with no filler or repetition. The field enumeration partly duplicates the output schema, which is the only slack.

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?

An output schema exists, so the return shape needs no further explanation, and the description supplies the key interpretive rule (unmeasured is first-class). What remains missing is the relationship to get_axis and the meaning of 'lab-practice' as an axis family, given the large sibling set.

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?

Zero parameters, so there is nothing to disambiguate; the description correctly confirms the tool takes no argument and that additionalProperties=false is intentional. This is the baseline for a parameterless tool.

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?

Names a specific resource ('the lab-practice axis of the live GSPC board') and states that the tool returns that row rather than computing anything, listing the returned fields. It is clear what the tool yields, but it never differentiates itself from the ~30 sibling axis_* tools or from get_axis, which an agent may reasonably suspect to be the generic way to fetch the same axis.

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?

Usage is only implied: the description says it takes no argument and that an unmeasured axis is a valid answer, which tells the agent how to interpret a result but not when to prefer this tool over get_axis or board_totals. No exclusions or alternatives are named despite a crowded sibling set.

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