Latest Base block
data_blockLatest block number, timestamp, tx count, gas utilization. $0.001 per call.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
data_blockLatest block number, timestamp, tx count, gas utilization. $0.001 per call.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the description is not required to restate the safety profile. It adds the price and that the data reflects the 'Latest' block, which signals a changing result, but it does not disclose response format or units. This is acceptable but not richly informative.
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 compact line that front-loads the returned values and ends with the pricing call-out. Every token earns its place, and there is no filler for a tool this simple.
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 zero-parameter, read-only lookup, the listed fields are mostly sufficient, but the description omits the network context ('Base' appears only in the title), the timestamp unit, and the gas utilization format. Since there is no output schema, a bit more detail about the response would round it out.
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 tool has zero parameters and schema coverage is 100%, so the baseline of 4 applies. The description does not need to explain parameters because there are none, and it correctly implies a no-input invocation.
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 enumerates the tool's output: 'Latest block number, timestamp, tx count, gas utilization.' This makes the resource and purpose obvious even without an explicit verb. It does not, however, explicitly differentiate itself from sibling data_* tools by naming any alternative.
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?
There is no guidance about when to use this tool versus siblings like data_gas or data_token_supply, and no exclusions or conditions of use. The only extra contextual note is the price, '$0.001 per call,' which implies a cost consideration but not a usage scenario.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools are cleanly separated by domain prefix (data_, security_, validate_, verify_) and describe distinct outputs. A couple of pairs like token_verdict vs verify_token or data_portfolio vs wallet_dossier could be confused until descriptions are read, but the descriptions resolve the ambiguity.
The majority of tools follow a predictable prefix_subject pattern, e.g. data_block, security_tls, validate_iban, verify_payment. A few outliers like html_to_markdown, text_diff, wallet_dossier, and token_verdict use different conventions, but the overall system remains readable.
20 tools is on the heavy side for the typical MCP server and sits in the 16–25 'feels heavy' zone. Most tools have a legitimate purpose, but the five validate_* identifier tools plus two generic utilities could feel like surface area bloat.
The server covers a broad and coherent read/validation domain: chain data, token safety, payments, security checks, and identifier validators. Minor gaps exist, such as lack of detailed historical transaction/activity data and no general network/domain security scan beyond email, TLS, and typosquat.