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douglasgan

asktian MCP Server

asktian_best_time_for_action

Identify optimal time windows for actions like negotiations or launches. Receive top 3 favorable times and times to avoid, based on your birthdate.

Instructions

Find the most auspicious time windows in the next N days for a specific action. Use this when the user asks 'when should I do X', 'should I move this meeting', 'is tomorrow a good day to launch', 'when should I have the hard conversation', etc. Returns top 3 best windows and any windows to avoid. This is the most useful tool for real-time decision support inside any AI assistant — it lets you give specific scheduling advice instead of vague reflections.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
birthdateYesISO YYYY-MM-DD birthdate of the person taking the action.
actionNoWhat kind of action. Pick the closest match; use 'generic' if unsure.
range_daysNoHow many days ahead to search. Default 7. Max 30.
Behavior4/5

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

No annotations exist, so description carries full burden. It discloses the return format (top 3 windows + windows to avoid) and real-time decision support context, but does not explicitly state it is read-only or non-destructive.

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 front-loaded with the core purpose and includes concise usage examples. The final sentence is somewhat self-promotional but still adds context about the tool's value; minor trimming could improve.

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

Completeness4/5

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

For a simple query tool, the description covers purpose, usage triggers, and return format. No output schema exists, but the description explains what is returned. It is adequate given the tool's complexity.

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 baseline 3 is justified. The description does not add extra parameter details beyond what is already in the schema, but the enum action parameter gets helpful guidance ('pick closest match').

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 finds 'most auspicious time windows' for a specific action, distinguishing it from siblings like asktian_compatibility or asktian_today_energy which handle different tasks.

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?

Provides explicit examples of when to use ('when should I do X', etc.) and implies use over sibling tools by focusing on scheduling advice, but lacks explicit 'when not to use' instructions.

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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