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aibtcdev
by aibtcdev

pillar_direct_dca_status

Check active DCA schedules with chunk progress (completed, pending, failed) and next execution time to monitor your dollar-cost averaging status.

Instructions

Check your DCA schedule status. Shows all active DCA schedules (up to 10) with chunk progress (completed, pending, failed) and next execution time.

Tip: call earning_opportunities to see how to put your assets to work.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.77.0

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does disclose the meaningful behavioral facts: this is a read-only status check, results are capped at 10 active schedules, and each entry reports completed/pending/failed chunk progress plus next execution time. It stops short of stating prerequisites (wallet connection, ownership scoping) or behavior when no schedules exist.

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 functional content is front-loaded in two tight sentences with no redundancy. The third "Tip" sentence is promotional rather than operational and does not help an agent call the tool, so it marginally dilutes an otherwise efficient description.

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?

There is no output schema and no annotations, so the description must supply both return shape and behavior; it does a fair job on return shape but is silent on whose schedules are returned (connected wallet? address?) and on the empty-result case. For a zero-param read tool that gap is tolerable but real.

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

Parameters4/5

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

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description correctly implies the call is unfiltered and implicitly scoped to the caller's own schedules.

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+resource ("Check your DCA schedule status") and enumerates the returned data: up to 10 active schedules, chunk progress states, and next execution time. It is clear on its own, but it does not distinguish itself from the similarly named sibling pillar_dca_status (or pillar_dca_leaderboard/partners), leaving the agent to guess which DCA status tool applies.

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

Usage Guidelines3/5

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

The imperative "Check your DCA schedule status" implies a usage context, and the inclusion of "next execution time" hints at monitoring use, but there is no explicit when-to-use vs when-not guidance and no named alternative. The closing tip points at earning_opportunities, which is a cross-sell rather than a routing alternative, so it does not help tool selection.

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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