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lj22503

InvestBrain

reminder_set_reminder

Set condition-based reminders for stock prices, times, or valuation ratios so InvestBrain alerts you when your criteria are met.

Instructions

Set a reminder with trigger condition.

Args:
    condition: Reminder condition, e.g.:
        - {"type": "price", "ticker": "贵州茅台", "operator": "below", "value": 1400}
        - {"type": "time", "cron": "0 9 * * 5"}  # Every Friday 9am
        - {"type": "pe_ratio", "ticker": "贵州茅台", "operator": "below", "value": 20}

Returns:
    dict: Created reminder with ID

Input Schema

NameRequiredDescriptionDefault
conditionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It discloses that a reminder is created and returned with an ID, and gives condition examples, but does not describe persistence, duplicate handling, permissions, notification behavior, or error cases.

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 action and uses a clean Args/Returns structure. The examples are useful rather than redundant, though the formatting is slightly verbose for a single-parameter tool.

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?

The tool has one nested object parameter and no output schema. The description explains the condition shape with examples and briefly states the return value, which is enough for correct invocation, though more detail on supported condition types and side effects would improve completeness.

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

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but the description compensates strongly with concrete condition examples covering price, time/cron, and pe_ratio triggers including fields like ticker, operator, value, and cron. This adds substantial meaning beyond the bare object schema.

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

Purpose4/5

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

States a specific verb and resource: "Set a reminder with trigger condition." It is clear what the tool does and distinguishable from reminder listing/deletion siblings by name, though it does not explicitly differentiate itself from them.

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

Usage Guidelines2/5

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

Provides no guidance on when to use this tool versus alternatives such as reminder_get_reminders or reminder_delete_reminder. Usage is only implied by the tool name and the word "Set."

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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