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Alpha4-Labs

Loyalteez MCP Server

by Alpha4-Labs

loyalteez_claim_drop

Process a user's reward drop claim over Discord, Telegram, or web. Returns success status, reward amount, position, and remaining claims.

Instructions

Process a drop claim from a user. Returns success status, reward amount, position, and remaining claims.

See also: loyalteez://docs/shared-services/drops-service

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dropIdYesDrop ID from create_drop response
platformYesPlatform: "discord" | "telegram" | "web" | etc.
platformUserIdYesPlatform-specific user ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden for a mutation tool. It discloses the return payload (success status, reward amount, position, remaining claims), which is genuinely useful, but says nothing about idempotency, single-use claim semantics, required permissions, or failure modes.

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

Conciseness5/5

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

Two tight sentences, front-loaded with the action and immediately followed by the return shape. No filler or restatement of the tool name.

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?

With no output schema, the description usefully enumerates return fields, and the parameters are fully documented in the schema. However, for a state-changing claim operation with zero annotations, the absence of any eligibility, duplicate-claim, or error-behavior context leaves meaningful gaps.

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%, with each of the three required parameters documented in the schema itself. The description adds no format or constraint detail beyond it, so the baseline of 3 applies.

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 ('Process a drop claim'), which is meaningfully distinct from siblings like create_drop and redeem_perk. It stops short of explicitly differentiating itself from those siblings, but the action is unambiguous.

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?

No when-to-use condition, no prerequisites, and no mention of alternatives such as create_drop or redeem_perk. The only guidance is a pointer to external docs, which the agent cannot rely on as in-band routing information.

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