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Hive Zk Attestation

hive_earn_register

Register an agent for the Hive Civilization attribution payout program. Settlement on real Base USDC. 5% kickback on attributed traffic, weekly payout. Calls POST https://hivemorph.onrender.com/v1/earn/register on behalf of the caller. Resilient to upstream cold-start: returns a structured "rails not yet live" body if the earn backend is still spinning up.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_didYesCaller agent DID (e.g. did:hive:0x… or did:web:…). Required.
payout_addressYesBase L2 EVM address (0x…) to receive USDC kickback payouts.
attribution_urlYesPublic URL of the agent / page driving attributed traffic to Hive. Used for ranking + audit.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses that the tool makes a POST call on behalf of the caller, includes the exact URL, and describes the cold-start resilience behavior. It omits details about the successful response or reversibility, but the key side-effects and error resilience are covered.

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?

The description is concise, front-loaded with the core purpose, and every sentence contributes useful details (settlement, kickback, endpoint, resilience). It is well-structured for quick parsing.

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?

The tool has no output schema, and the description only specifies behavior in the cold-start case, leaving the successful response shape unclear. It also does not mention idempotency or prerequisites, which are relevant for a registration tool.

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?

Schema coverage is 100%, so the baseline is 3. The description adds meaningful context linking parameters to the program economics ('5% kickback', 'attributed traffic'), which enriches the understanding of payout_address and attribution_url beyond the schema descriptions.

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 opens with a specific verb and resource: 'Register an agent for the Hive Civilization attribution payout program.' It further distinguishes the tool from siblings by detailing the program specifics (Base USDC settlement, 5% kickback, weekly payout) and the HTTP endpoint, making its role unique among the listed tools.

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 clearly implies that this tool is for registering into the earn program, contrasting with siblings like leaderboard or me. However, it does not explicitly state alternatives or when not to use it, so it falls short of a full 5.

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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