Recommends a Base transaction priority fee based on recent network activity, at low/medium/high confidence levels. Paid: $0.002 per call via x402.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description bears full responsibility. It discloses a per-call cost ($0.002 via x402), which is valuable. However, it does not mention whether the operation is read-only, any side effects, rate limits, or confirmation behavior. The confidence levels are mentioned but not explained in terms of 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 two sentences long, front-loaded with the main purpose, and includes the cost detail. Every sentence serves a purpose with no wasted words.
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?
While the tool is simple (no parameters, no output schema), the description lacks details about the return format (e.g., is it a single fee number, an object with confidence levels?) and how confidence levels are represented. This leaves ambiguity for an agent invoking the tool.
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 input schema has zero parameters, so the description cannot add semantic value beyond the schema. Per guidelines, baseline score is 4 for zero-parameter tools. The description does not add unnecessary parameter information.
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 states the tool 'Recommends a Base transaction priority fee' based on recent network activity, with specific confidence levels. The sibling tools are for different chains or network health, so this is well-distinguished.
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 the tool is for getting a fee estimate for Base transactions, but does not explicitly state when to use it versus alternatives (e.g., get_network_health_base) or provide guidance on confidence level selection. Usage context is inferred from sibling names.
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.
Each tool is clearly distinguished by its operation type (network health, priority fee, store, retrieve) and, where applicable, the specific blockchain (Base, Ethereum, Solana). No two tools perform the same function on the same target, so an agent can select the correct tool without ambiguity.
All tool names follow a consistent verb_noun pattern using snake_case. The first six tools use 'get_' plus a descriptive noun (network_health or recommended_priority_fee) followed by the chain name, while the storage tools use 'store_' and 'retrieve_' with 'object'. This predictable convention aids agent selection.
With 8 tools, the server is well-scoped. The six network-related tools cover three blockchains across two recurring operations, and the two storage tools provide minimal yet sufficient coverage. The count is within the ideal range and each tool earns its place.
The network health and fee recommendation tools fully cover their immediate purposes. For object storage, only store and retrieve are provided, lacking delete or list operations. While the core workflow (write and read) is functional, the absence of delete is a minor gap that could require workarounds.