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stefanveliki

Vreme Temporal MCP

by stefanveliki

check_activity_appropriateness

Determine if current time is suitable for calls, work, or meetings in any location by analyzing time of day, cultural observances, religious holidays, and local customs across 9 calendar systems.

Instructions

Check if the current time is appropriate for specific activities (calls, work, meetings) in a given location. Takes into account time of day, cultural/religious observances across 9 calendar systems (Shabbat, Ramadan fasting, religious holidays from Hebrew, Islamic, Hindu, Buddhist, and other traditions), work restrictions, and local customs. Perfect for 'Can I call someone in X?' or 'Is it a good time to contact Y?' queries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
locationYesLocation name (e.g., 'Berlin', 'Jerusalem', 'Tokyo')
activityNoOptional: Type of activity to check ('call', 'work', 'meeting'). If omitted, checks all activities.
user_timezoneNoOptional: Your timezone for relative time calculations
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes what the tool considers (time of day, cultural/religious observances, work restrictions, local customs) but lacks details on output format, error handling, or data sources. This is adequate but has gaps for a tool with complex logic.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately sized and front-loaded, starting with the core purpose and following with details and examples. Every sentence adds value, though it could be slightly more concise by integrating the examples more tightly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (multiple cultural systems) and lack of annotations/output schema, the description is moderately complete. It covers the scope and inputs well but does not explain the return values or potential limitations, which is a gap for a decision-making tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

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 parameters. The description adds context by explaining the activity parameter checks 'calls, work, meetings' and implies broader cultural considerations, but does not provide additional syntax or format details beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose with specific verbs ('check if the current time is appropriate') and resources ('activities in a given location'), distinguishing it from sibling tools like query_prayer_times and query_time by focusing on appropriateness rather than raw time data. It provides concrete examples of activities and use cases.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly states when to use this tool with examples like 'Can I call someone in X?' or 'Is it a good time to contact Y?', providing clear context. However, it does not specify when not to use it or explicitly differentiate from alternatives like query_time for basic time queries.

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

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