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

The description adds useful context beyond annotations: the result is a complete enumeration of searchable activities, and its ids are the valid input vocabulary for find_auspicious_time. It does not address the notable mismatch that readOnlyHint is false for what is described as a pure listing call, nor whether the list is static or server-dependent.

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, zero waste: the first defines scope and return shape, the second gives the call sequencing. Front-loaded and immediately actionable.

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 description needn't explain return values, and it already names the key fields anyway. The only missing piece an agent would want is what 'language' changes and whether the activity set is stable across calls.

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 0% for the single optional parameter 'language', and the description never mentions it, so an agent gets no signal that it controls the language of the label/aliases. With only one param the baseline would be 4, but the complete silence on that param leaves a real gap.

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?

States a specific verb and resource ('List every activity Vedara can search auspicious timing for') and enumerates the returned fields (id, label, category, aliases). It is clearly differentiable from the sibling find_auspicious_time, which consumes rather than produces this list.

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?

Gives an explicit ordering rule: 'Call this before find_auspicious_time and pass one of the returned ids as the activity.' That names the alternative, the sequencing, and the hand-off value, leaving nothing to inference.

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