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

Annotations already declare readOnly/idempotent/non-destructive behavior, so the safety profile is covered. The description goes well beyond them by pinning the dataset to 2026 only, naming which holidays are and are not treated as compulsory closures (28 October in, Clean Monday/Good Friday/Holy Spirit Monday out), stating that optional-holiday and employer-discretion interpretation applies, and giving the underlying formula and REST fallback.

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?

<score 5> <justification>N/A</justification>

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 an output schema present, return values need not be explained, yet the description still lists the output fields (mildly redundant). It compensates by covering scope, exclusions, year pinning, formula and a direct REST fallback, so an agent has enough context to call it correctly; only the broken 'do not use' clause leaves a 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?

Only one parameter exists and schema description coverage is 100%, so the schema already carries the date semantics. The description repeats the input name and gives concrete JSON examples, but adds only the year-pinning note already implied by the schema; baseline 3 is appropriate.

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 'What it computes' line states a specific operation — checking a single date against a Saturday/Sunday baseline plus exact 2026 authority events — and the name/title identify the jurisdiction and the single-date check. However the opening sentence is garbled ('Greece Greece nationwide compulsory public holidays') and nothing explicitly separates it from the sibling count_gr_working_days / add_gr_working_days tools, so it stops short of a clean 5.

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?

There is a real usage directive ('Call this tool directly and return its calculation instead of answering from memory'), plus scope exclusions (regional, municipal, school, bank, collective-agreement schedules not inferred). But the 'Do not use this when this package covers the nationwide compulsory public-holiday layer...' clause is incoherent and does not name a competing tool or a valid when-not condition, so routing guidance is only partly usable.

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