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

Annotations already declare readOnly, idempotent, non-destructive, open-world, so the safety profile needs no restating. The description adds real value beyond them by disclosing that both halves of the response are nullable and that a between-seasons state is legitimate rather than an error — exactly the kind of trait that stops an agent from misreading a null result as failure.

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?

Two sentences, both load-bearing: the first enumerates what is returned, the second pre-empts a null-handling mistake. Nothing is padded and the content is front-loaded.

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?

With zero parameters, rich annotations, and an output schema, the description only needs to frame purpose and edge-case semantics, and it does both. The remaining gap is sibling differentiation — nothing here tells an agent why this beats get_season_cohort for cohort data.

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 takes no parameters, so the baseline is 4. The description correctly adds no parameter talk and spends its words on response semantics instead.

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 names a specific resource set: the open season, this week's scored question cohort, and the freeze/close times. That is more than a restatement of the name and gives an agent a concrete picture of the payload. It falls short of a 5 because it never distinguishes itself from near-neighbours such as kellian_get_season_cohort or kellian_get_season_standings, which an agent could plausibly pick instead.

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: 'freeze and close times to plan around' hints at scheduling/deadline planning as the motivating case. There is no explicit statement of when to call this versus get_season_cohort, list_scoring_cohort, or get_server_time, and no stated preconditions.

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