base_nonce
Read the latest transaction nonce for a Base address.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| address | Yes |
Read the latest transaction nonce for a Base address.
| Name | Required | Description | Default |
|---|---|---|---|
| address | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With empty annotations, the description carries the behavioral burden. 'Read' correctly conveys a non-mutating operation, and 'latest' indicates current-state behavior, but the description does not disclose return format, edge cases, or address type constraints beyond what the schema implies.
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 one short sentence with no wasted words. The verb is front-loaded, and every remaining word adds purpose or scope without repeating schema or annotation information.
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 simple single-parameter read operation with no output schema, the description is largely sufficient: it conveys the chain, the input, and the conceptual return value. It does not state explicit output typing or usage caveats, but the low complexity makes the overall context adequate.
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 schema provides only a regex pattern for the required 'address' parameter with 0% description coverage. The description adds meaningful semantic grounding by clarifying that the address is a Base address and that the tool returns its latest transaction nonce, compensating for the sparse schema.
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 states the verb 'Read' and a specific resource, 'latest transaction nonce', for a Base address. This clearly differentiates it from sibling tools that target block numbers, balances, or transaction details.
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 implies it should be used when an agent needs the current nonce for a Base address, but it gives no explicit when-to-use, when-not-to-use, or alternative guidance. The usage context is inferred rather than stated.
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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