gas_tracker
Live gas fees for EVM chains (eth, bnb, polygon, arbitrum, base, optimism) with estimated transfer cost in native + USD.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| chain | No | eth |
Live gas fees for EVM chains (eth, bnb, polygon, arbitrum, base, optimism) with estimated transfer cost in native + USD.
| Name | Required | Description | Default |
|---|---|---|---|
| chain | No | eth |
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?
No annotations exist, so the description carries the full burden of behavioral disclosure. It does convey that data is live/current and that output includes native and USD estimates. However, it omits details such as update frequency, units for gas fees, what transaction is assumed for the transfer cost, and possible network-specific behavior.
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, information-dense sentence with no filler. It front-loads the core function, then specifies supported chains and output format. Every element earns its place, and nothing needs to be trimmed.
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?
For a tool with one optional parameter and no output schema, the description is largely sufficient: it states the domain, supported chains, and output form. Minor gaps are the lack of exact gas-fee units and the absence of an explicit statement about the default chain, though the schema already documents the default.
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?
The only parameter chain is fully enumerated in the schema, and the description repeats the chain list while adding that these are EVM chains. This reinforces meaning but does not add substantial detail beyond the enum. The 'native + USD' mention clarifies expected output rather than the parameter semantics themselves.
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 identifies the tool as providing live gas fees for specific EVM chains plus an estimated transfer cost. It lacks an explicit verb like 'get' or 'fetch', but the intent is unambiguous. It distinguishes itself from the sibling price/portfolio/comparison tools by describing a distinct gas-fee function.
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 description explains what the tool does but gives no guidance on when to use it versus alternatives. There is no mention of scenarios where another sibling would be more appropriate, and no exclusions or prerequisites. Usage must be inferred from the tool name and the generic gas-fee description.
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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Each tool targets a distinct action or use case: single price lookup, comparison, conversion, historical data, portfolio valuation, profit calculation, gas fees, search, top lists, and trending. Even get_price and compare_coins are clearly separated by single vs multi-coin scope.
Most tool names follow a clear, identifiable pattern with snake_case and intuitive operation+target naming like compare_coins, get_price, search_coin, and top_coins. A few deviations like convert, gas_tracker, and trending are still readable and not confusing.
Ten tools is well-scoped for a crypto toolkit. Each tool serves a meaningful standalone purpose and the count is neither bloated nor too thin.
The toolkit covers a broad range of crypto needs: pricing, comparisons, conversion, history, portfolio valuation, profit calculations, gas fees, top coins, and trending. Minor gaps exist around exchange-level data or detailed coin metadata, but the core surface is quite complete.