base_transaction
Read and summarize a Base transaction plus receipt: status, value, gas, fee, logs and contract creation.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| hash | Yes |
Read and summarize a Base transaction plus receipt: status, value, gas, fee, logs and contract creation.
| Name | Required | Description | Default |
|---|---|---|---|
| hash | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are empty, so the description bears full responsibility. It says 'read', implying read-only, but doesn't disclose it explicitly. It also doesn't mention error handling, network implications, or whether the entire receipt is returned. The field list is a useful hint but not enough to understand side effects or safety.
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 sentence, front-loads the verb and resource, and lists the receipt fields in a compact way. Every word adds value, and there is no redundant phrasing.
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 one-parameter read tool with no annotations or output schema, the description covers the core purpose adequately but omits any mention of typical edge cases like a non-existent transaction or large log data. More importantly, it doesn't clarify that this is a safe, read-only operation, which would set appropriate expectations. It's the minimum viable description.
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 only provides a name and pattern for `hash`, and the description's field list (status, value, gas...) implies the hash is a transaction hash, providing helpful context. However, the description doesn't directly describe the `hash` parameter or formats. Since the parameter is simple and the description adds some context, this is a pass.
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 a verb ('Read and summarize'), a specific resource ('a Base transaction plus receipt') and the exact receipt fields covered ('status, value, gas, fee, logs and contract creation'). This distinguishes it from the sibling 'base_*' tools, but it doesn't explicitly name an alternative, so it loses one point.
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 gives no guidance about when to use this tool versus siblings. While the 'base_' prefix suggests a family, there's no explicit mention of alternatives or conditions. The agent must infer from the tool name and schema.
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 have clearly distinct targets—Base reads, web research, opportunity search, and gating—but a few overlapping 'verify' and 'gate' tools could blur boundaries for an agent, especially verify_commercial_truth and verify_deadline_eligibility. Descriptions do differentiate them, so misuse is unlikely with careful prompting.
All names use snake_case and are internally consistent for the base_* cluster, but outside of that, some tool names are nouns while others are verbs (e.g., domain_intelligence, web_read, vendor_verification). This mixed convention makes it less predictable than a strict verb_noun pattern.
21 tools is on the high side of the comfortable range, but the server covers a broad scope: blockchain reads, web/content intelligence, opportunity discovery, commercial verification, and preflight gates. Each tool has a distinct role, though a few feel marginal rather than essential for a leaner setup.
The set covers the main workflows you'd expect: reading blockchain state, researching and verifying web snippets, tracking opportunities, and blocking bad actions with a fee preflight. The notable gap is an explicit execution step—there is no actual sending, bidding, or payment action beyond the x402 preflight. That is a reasonable boundary for a read/preflight tool suite.