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

No annotations are provided, so the description carries the full behavioral disclosure burden. It does add one meaningful trait — missing inputs silently fall back to documented defaults — and implies a pure computation with no side effects. However, it never explicitly states the operation is read-only/non-persistent, nor what happens on invalid input, even though one parameter is an enum and all values have bounded ranges.

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 tight sentences, front-loaded with the imperative verb and resource name. The semicolon-delimited output list is compact and scannable, and the defaults note earns its place as a real behavioral cue. Only minor reorganization (labeling the list as outputs) would improve it.

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 5-parameter calculator with no annotations and no output schema, the description covers the core: what is computed and how missing inputs are handled. But it leaves gaps that matter — the format/structure of the returned calculation results, whether the nightWork enum values materially change the outputs, and any edge-case behavior on out-of-range inputs.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds some meaning beyond the schema by framing the parameters as inputs to four named calculations, which helps an agent anticipate what the numbers produce. This added value is modest, and 'Cycle length in days' could be misread as a requestable input rather than a computed output, slightly muddying the semantics.

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?

Uses a specific verb ('Run') plus a named resource ('Shift pattern generator calculator') and enumerates what it computes: cycle length, average working hours per week, hours under the 48-hour limit, and crews needed. This clearly states the tool's function and avoids tautology. It doesn't explicitly contrast with sibling 'calculator_describe', but the imperative 'Run' versus the sibling's 'describe' verb makes the distinction mostly inferable.

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 no when-to-use guidance, no exclusion criteria, and no mention of alternatives — notably 'calculator_describe', which likely relates to the same calculator and would be a candidate for confusion. The only usage-adjacent note is that missing inputs fall back to defaults, which is a parameter behavior, not a tool-selection guideline.

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