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Glama

gas_now

Current Base network gas price (gwei and wei).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A3.5/5.0
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 behavioral disclosure burden. It does disclose that the value is current and reports both gwei and wei, which is useful. However, it does not mention data freshness, whether the price reflects a specific gas tier, or any caching behavior, leaving some behavioral ambiguity.

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 a single focused sentence with no filler, redundant phrasing, or repeated schema information. It is appropriately front-loaded with the core purpose and unit detail.

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?

Given that the tool has no parameters and a very narrow purpose, the description is largely complete: it names the network, the quantity, and the units. The only minor gap is the lack of an explicit indication of the response structure, since no output schema exists, but an agent can likely invoke and interpret the result given the clear unit specification.

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 tool has zero parameters, and the schema is empty, so there is nothing for the description to explain about inputs. The no-parameter baseline of 4 applies since the description correctly avoids inventing parameter constraints.

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 clearly identifies the tool as returning the current Base network gas price and specifies the units (gwei and wei). It is distinguishable from the sibling tools like address_report, token_balance, and tx_status, which target different data domains. However, it lacks a specific action verb such as 'get' or 'fetch', so it narrowly misses a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no explicit guidance on when to use this tool versus alternatives. While the intended use is inferable from the purpose, there is no mention of conditions, exclusions, or when another tool might be more appropriate. This is essentially purpose-only with no usage 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

A3.9/5.0
Disambiguation4/5

Each tool targets a distinct query type: address snapshot, gas price, token balance, token metadata, and transaction status. The only minor overlap is that address_report includes USDC balance, which could also be retrieved via token_balance, but the descriptions make the intended use clear.

Naming Consistency5/5

All tool names follow a consistent snake_case noun or noun_verb pattern: address_report, gas_now, token_balance, token_info, tx_status. The naming is predictable and clearly indicates the subject and purpose of each tool.

Tool Count5/5

Five tools is well-scoped for a read-only Base chain intelligence server. Each tool covers a meaningful and distinct data need without redundancy or unnecessary bloat.

Completeness4/5

The set covers the core read-only needs for Base chain data: balances, token metadata, gas, and transaction status. Minor gaps exist such as token transfer history or block details, but the current surface handles common queries without major dead ends.