0G Network Health
get_0g_healthCheck the live status of all 5 0G components: Storage, Chain, Compute, KV, DA.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_0g_healthCheck the live status of all 5 0G components: Storage, Chain, Compute, KV, DA.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate a read-only, idempotent, open-world operation. The description adds specific behavioral context by naming the 5 components and emphasizing 'live' status, implying real-time data. This goes beyond the annotations without contradicting them.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no wasted words. It conveys all essential information efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity (no parameters, no output schema), the description fully covers what the agent needs: what components are checked and that the status is live. No additional context is necessary.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
There are no parameters, so the baseline is 4. The description appropriately focuses on the tool's action and scope, requiring no parameter explanation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool checks live status of all 5 0G components (Storage, Chain, Compute, KV, DA), using a specific verb and resource. This distinguishes it from sibling tools which are all commerce/payment related.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The tool's purpose is self-evident as a health check, and the sibling context shows no overlapping tools. However, it does not explicitly state when to use it or mention alternatives/exclusions, so it earns a 4 rather than a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools overlap in the product discovery and payment status domains. discover_merchants, search_products, and get_merchant_profile all relate to finding products/merchants, though descriptions clarify intended use. Similarly, check_paywall, get_checkout_status, and verify_receipt all deal with payment status/verification, creating potential agent confusion.
Most tools follow a consistent lowercase verb_noun pattern (check_paywall, create_checkout, download_product, get_0g_health, etc.). The one outlier is agent_wallet_status, which is a noun phrase instead of verb-first, but it still uses underscores and fits thematically.
13 tools is within the ideal range and the server covers payments, product discovery, and verification. A few tools like get_0g_health and setup_instructions feel tangential to the core payment flow, making the set slightly heavier than necessary but still reasonable.
The payment lifecycle is well covered: discover/search products, pay via checkout or direct merchant payment, download digital goods, and verify receipts. Minor gaps exist such as no explicit refund or transaction history tool, but agents can work around these by using existing verification and wallet status tools.