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chain_estimate_gas

$0.09 via x402: estimate the gas a transaction will use (eth_estimateGas) across 6 chains — the pre-send read tx-building, trading and settlement agents make to size gas and avoid out-of-gas reverts. Pass to (+ optional from/value/data).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toYesRecipient/contract address 0x...
dataNoCalldata 0x...
fromNo
chainNobase|ethereum|optimism|arbitrum|polygon|gnosis (default base)
valueNoWei (hex or decimal)
x_paymentNo

Schema Changelog

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

  1. Added
  2. Removed
  3. Added
  4. Removed
  5. 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 cost ('$0.09 via x402') and labels the operation as a 'pre-send read', implying no side effects. It lacks details on output format, error behavior, or rate limits. The mention of 'read' and cost adds some transparency, but it's not comprehensive.

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

Conciseness4/5

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

The description is concise and packs essential info into two sentences, but the structure is slightly awkward: leading with the cost ('$0.09 via x402:') before the purpose, and the 'Pass to' phrase is cryptic. Still, every piece contributes and it's appropriately short.

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?

For a tool with no output schema and no annotations, the description covers purpose, use case, cost, and basic invocation. It does not describe what the return value looks like (e.g., gas units in wei) or any edge cases. Given the tool's moderate complexity, this is adequate but leaves gaps.

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

Parameters3/5

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

Schema coverage is 67%, with descriptions for to, data, chain, and value but not from or x_payment. The description adds 'Pass to (+ optional from/value/data)', clarifying to as required and listing the main optional parameters, but it omits chain and x_payment. It does not provide extra meaning for the undocumented parameters, though the cost note hints at x_payment's role.

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 estimates gas usage for a transaction via eth_estimateGas across 6 chains. It uses a specific verb ('estimate'), resource ('gas a transaction will use'), and distinguishes from sibling tools like chain_gas_price or chain_transaction_status by focusing on pre-send estimation. The method name and chain scope are explicit.

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 gives clear context: it is the 'pre-send read tx-building, trading and settlement agents make to size gas and avoid out-of-gas reverts.' This implies when to use it (before sending a transaction) and that it is a read operation. However, it does not explicitly name alternatives or say when not to use it, though the context effectively differentiates it from sibling chain tools.

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

C2.7/5.0
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.