list_recent_transactions
List the most recent transactions across recent blocks
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of transactions to return (1-50, default 10) |
List the most recent transactions across recent blocks
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Number of transactions to return (1-50, default 10) |
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 are supplied, so the description carries the full burden of behavioral disclosure. It only states the listing scope and does not mention ordering guarantees, block-window semantics, pagination, or whether results are final once blocks settle. Minimal operational transparency.
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 front-loaded sentence with no wasted words. It conveys the verb, resource, and scope efficiently.
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 read-only list call with one optional parameter, the description is functional, but no output schema or annotations exist and 'recent' is not precisely defined. An agent can call the tool, but would benefit from more context about response shape and recency semantics.
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?
Schema description coverage is 100% for the single limit parameter, including its range and default. The description adds no parameter details, but the schema already documents them adequately, so the baseline of 3 applies.
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 uses a specific verb ('List') and resource ('most recent transactions across recent blocks'), clearly distinguishing it from siblings like get_transaction (single transaction) and list_account_transactions (account-specific). The scope is immediately understandable.
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?
No when-to-use guidance is provided. The description does not contrast this tool with siblings such as search, list_recent_blocks, or list_account_transactions, so the agent must infer appropriate usage from the name alone.
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 resource or query type: account, block, transaction, program ABI, account history, recent blocks, recent transactions, and cross-entity search. The generic search tool overlaps somewhat with individual getters, but its role as a unified lookup query is clear.
Tool names consistently follow a verb_noun pattern using get_, list_, or search_. This creates a predictable structure where the verb indicates retrieval mode and the noun indicates the target entity.
Eight tools is well-scoped for a read-only blockchain explorer. The set covers core entities without unnecessary redundancy, and each tool earns its place.
The toolset covers the main explorer workflows: fetching accounts, blocks, transactions, ABIs, and paginated history. Minor gaps such as token-specific balance lookups or direct program-account enumeration exist, but they are not critical for general chain exploration.