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gas_state

Requires a ChainHelix API key as bearer token, or 2 cents per call paid over Binance b402 in USDT, USDC, USD1 or U on BNB Smart Chain, or over x402 in USDC on the Base network. Network load per chain: latest transaction count, MEV count and rate, average gas and large transaction count, against the 24 hour average of each. Omit chain for all nine

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
chainNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral disclosure burden. It does disclose API key requirements, a per-call cost model, and the effect of omitting chain. Still, it does not explicitly state that the operation is read-only, nor does it mention rate limits or side-effect risk, so some behavioral ambiguity remains.

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

Conciseness3/5

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

The text contains necessary info but front-loads a dense, payment-related sentence about authentication and costs before stating the actual purpose ('Network load per chain'). It could be structured more clearly, though no information is redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single optional parameter with both an input enum and an output schema, the description covers access control, pricing, supported metric scope, and across the behavior. The main missing piece would be a direct statement that the tool is read-only, but the context and schema make that sufficiently clear.

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 description coverage is 0%, but the description adds essential parameter behavior: omitting 'chain' fetches all nine chains. The single enum-based parameter is also self-descriptive in the schema, so the combination is sufficient for an agent to understand how to supply or omit it.

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?

The description identifies the resource as per-chain network/gas load and enumerates specific metrics (latest transaction count, MEV count and rate, average gas, large transaction count). It clearly conveys what the tool provides, but it lacks an explicit retrieval verb like 'gets' or 'returns', and it does not differentiate from sibling tools such as congestion or market_state.

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 description explains how to use the chain parameter with 'Omit chain for all nine' and implies the tool is for network-load data. However, it gives no explicit when-to-use-this-vs-another-tool guidance or exclusions, so the usage context is inferred rather than directed.

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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TDQS

A3.5/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but some overlap exists among report tools (situation_report, deep_report, market_state) and spec tools (attest_spec, proof_spec). These could confuse an agent selecting the most appropriate endpoint.

Naming Consistency4/5

Tool names use consistent snake_case and are descriptive, but follow mixed patterns: verb_noun for actions (buy_key, list_attestations) and bare nouns or noun phrases for data endpoints (prices, congestion, wall_map). This is readable but not fully uniform.

Tool Count3/5

With 26 tools, the set is heavy and covers multiple domains (attestation, market data, key management, webhooks). It sits just above the borderline for comfort, but the breadth is justifiable given the server's multi-purpose nature.

Completeness5/5

The tool surface provides full lifecycle coverage for attestation (create, read, verify), key management (buy, claim, status), and webhooks (register, status, unregister), plus a wide range of market data endpoints. There are no obvious gaps or dead ends.

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