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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 burden. It tells the agent which authentication/payment paths are accepted, lists the computed network load values, and says that omitting chain expands results to all chains. It does not explicitly state whether the request is read-only, how the output is structured, or what errors can occur, so the disclosure is incomplete.

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 is dense and contains no filler, but the leading sentence is heavily focused on billing/auth and large enough that the core meaning of the tool appears only later. The final sentence about omitting chain is well placed after the data description, but the overall ordering could be more agent-friendly.

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 one-parameter, possibly optional tool, the description covers the input flexibility, the auth/payment constraints, and a useful list of output metrics. It does not describe the exact response format, but the enumeration of metrics and the 'all chains' default are enough for an agent to choose and invoke the tool safely in most cases.

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?

The schema already defines chain as a string enum with nine values, and the description adds the most important semantic beyond the schema: if chain is omitted, data for all nine chains is returned. That disambiguates the default behavior of the single optional parameter.

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 implies a network-load resource by spelling out the metrics (transaction count, MEV count, average gas, large transaction count) without a strong verb such as 'get' or 'return'. It still distinguishes the tool from siblings like market_state because it specifically describes gas/network load data across nine named chains.

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 does not explicitly state 'use this when you need network load' or name alternative tools for similar data, so it lacks strong selection guidance. It does provide one clear usage instruction: omit chain to get all nine networks, which gives some practical direction.

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

C2.9/5.0
Disambiguation2/5

Several tools occupy nearly the same territory: market_state, situation_report, and deep_report all present overlapping per-chain market analysis at different comprehensiveness levels. attest_spec and proof_spec are also near-identical, and attest_status, attestation_stats, and list_attestations use similar attestation vocabulary. Most data tools have unique jobs, but the overlapping report and verification tiers create real misselection risk.

Naming Consistency3/5

The server consistently uses snake_case but mixes noun-style data endpoints like prices and wall_map with command-style actions like attest, buy_key, and verify_reveal. Report names are also uneven: market_state, situation_report, and deep_report signal only vague depth differences. The set is readable but does not follow a single predictable convention.

Tool Count2/5

With 29 tools, this exceeds the heavy threshold and spans roughly four distinct functional areas: market data, attestation, key management, and webhooks. Each tool may earn its place individually, but the overall menu is too large for one MCP server; splitting it into data and attestation/administration servers would be clearer.

Completeness4/5

The attestation lifecycle is well covered with creation, status, listing, reveals, stats, and independent verification, and the key purchase and webhook workflows are also complete. The main gaps are historical-depth data, explicit key revocation, and a direct hire action despite hireable agents being listed, but agents can generally work around these. Core workflows do not dead-end.

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