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

The description adds a genuinely useful behavioral detail: the overlap is computed on a real date so DST changes that widen or narrow it are reflected. The annotations are all false, so they do not affirm read-only or idempotent behavior; the word 'computed' weakly implies no mutation, but the side-effect profile is not explicitly stated.

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 with no filler: the first gives the purpose and the second adds the important DST nuance. The key idea is front-loaded and every word earns its place.

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 tool with no output schema, the description states the conceptual result ('the window') and flags the main edge case (DST). It does not specify the exact return format, but the schema covers defaults and parameter details, so an agent has enough to invoke it successfully.

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 schema already documents all four parameters. The description adds no parameter-specific meaning beyond the general notion of 'listed place' and 'working hours,' which keeps this at the baseline rather than above it.

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 clearly states the resource ('the window each day when every listed place is inside working hours') and that it is computed on a real date, so the core purpose is unambiguous. It does not explicitly distinguish itself from siblings like find_meeting_slots or convert_time, but the focus on working-hours overlap makes the intent 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?

No guidance is given about when to use this tool versus find_meeting_slots, convert_time, or dst_changes. The DST note hints at when the computation may matter, but there are no explicit conditions, exclusions, or alternative tool mentions.

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