Skip to main content
Glama

chain_heartbeat

$0.09 via x402: one pre-action heartbeat replaces chain-id + block-tip + block-freshness + gas + fee-history + finality calls. One-sixth the price of chain ID + block number + gas separately, with one round trip and more data. Returns an identity-checked HEALTHY/CONGESTED/STALE verdict across Base, Ethereum, Optimism, Arbitrum, Polygon, Gnosis and Robinhood Chain.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNobase|ethereum|optimism|arbitrum|polygon|gnosis|robinhood (default base)
x_paymentNo

Schema Changelog

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

  1. Added

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses the $0.09 x402 pricing, single round trip, supported chains, and verdict output. However, it does not clarify whether x_payment is required, what happens without it, or any error/edge-case behavior.

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 two sentences, dense with actionable information: cost, functional replacement, performance advantage, supported chains, and output type. There is no wasted words; every phrase contributes value.

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 should clarify the return payload. It names the verdict and implies it includes chain-id, block-tip, gas, fee-history, etc., but doesn't specify output format, which chains are defaulted, or payment requirements. It's adequate for a simple understanding but leaves gaps for an agent to invoke it confidently.

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

Parameters2/5

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

The schema describes the chain parameter with enum-like values and default, but x_payment has no description. With 50% schema coverage, the description does not compensate; it mentions 'via x402' in passing but never maps that to the x_payment parameter or explains its format or necessity.

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 clearly states the tool returns an identity-checked HEALTHY/CONGESTED/STALE verdict across supported chains. It uses the specific verb 'Returns' and explicitly lists the individual chain calls it replaces, distinguishing it from sibling chain_* 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 positions this as a 'pre-action heartbeat' and highlights the cost/round-trip benefits over calling chain-id, gas, fee-history, etc. separately. This effectively implies when to use it, though it doesn't explicitly state when not to use it or name alternative tools for narrow use cases.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

C2.7/5.0
Disambiguation2/5

Many tools occupy the same conceptual space: web_scrape vs markdown_web_scraper, post_check vs brand_ai_visibility_check, llm_chat_completions vs post_api_v1_chat_completions, chain_transaction_status vs chain_confirmations, and connect_token vs token_security_check + dex_token_data. Descriptions help in places, but for an agent facing 92 tools these near-overlapping endpoints will frequently cause misselection.

Naming Consistency2/5

Everything is snake_case, but the conventions diverge sharply: get_chain_* and chain_* coexist for the same RPC family, post_* names are HTTP-route artifacts, api_generate reverses noun_verb order, and many names are bare nouns rather than verb_noun. There is no predictable naming pattern an agent can rely on.

Tool Count1/5

At 92 tools this is far beyond the range where an agent can keep the surface coherent, even for a store. The flat tool list mixes products, bundles, aliases, proxies and single-use verticals, so most of the count is noise for any given task. A catalog/search/payment model with fewer exposed tools would fit the storefront purpose better.

Completeness3/5

The server has impressive breadth and covers key storefront/market workflows: catalog, samples, credits, directory listing, notary, and the task lifecycle. But each domain is shallow: there is no chain transaction broadcast, no task update/cancel/dispute, no AI-visibility history, and many verticals are a single tool with no follow-on operation. The surface is broad but not deeply complete.