mempool_tx
Inspect a single unconfirmed Bitcoin transaction currently in the mempool.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| txid | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ok | Yes | ||
| data | No | ||
| error | No | ||
| endpoint | Yes | ||
| status_code | Yes |
Inspect a single unconfirmed Bitcoin transaction currently in the mempool.
| Name | Required | Description | Default |
|---|---|---|---|
| txid | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| ok | Yes | ||
| data | No | ||
| error | No | ||
| endpoint | Yes | ||
| status_code | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. 'Inspect' implies a read-only operation, but it doesn't state whether the tool can fail (e.g., if txid is not in mempool), whether it handles confirmed transactions differently, or what side effects (if any) exist. No mention of rate limits or data freshness.
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 with no fluff, front-loading the action and target. It is appropriately sized for the tool's simplicity and contains no redundant information. Every word earns its place.
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?
The tool is simple (one parameter) and an output schema exists, which likely describes return values. However, with no annotations and no parameter semantics, the description is minimal but sufficient for basic invocation. It lacks context about edge cases (e.g., confirmed transactions, invalid txids) and usage prerequisites, making it adequate but with clear gaps.
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 one required parameter (txid) with no description, and the tool description provides zero information about it. With 0% schema description coverage, the description should compensate, but it doesn't explain what a txid is, its format, or how to obtain it. The parameter is completely unexplained.
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 ('Inspect') and resource ('a single unconfirmed Bitcoin transaction currently in the mempool'), making its scope clear. This distinguishes it from sibling tools like mempool_stats (which covers stats) and tx_status (which likely handles confirmed transactions). The phrase 'currently in the mempool' reinforces the unconfirmed scope without ambiguity.
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 or alternative tools are mentioned. The description implies it's for unconfirmed mempool transactions, but it doesn't explicitly state when to use this over tx_status, tx_verify, or other sibling tools. There is no exclusion of confirmed transactions or mention of prerequisites.
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.
Several tool clusters have unclear boundaries: address_evidence_pack, address_intelligence, address_risk, risk_check, wallet_detail, wallet_summary, and wallet_trust_safety all return address-related intelligence with subtle differences. Similarly, pulse_dormant, chain_awakenings, and dormancy_flushes all describe dormant-coin reactivation events, and whale_alerts overlaps heavily with pulse_whales. Agents will likely struggle to select the correct tool without deep domain knowledge.
Tool names predominantly follow a snake_case convention with domain-prefix patterns (address_*, batch_*, entity_*, mempool_*, pulse_*, timestamp_*, tx_*, wallet_*). There are minor deviations like op_return_decode (object-verb ordering) and some noun-only names, but overall the pattern is predictable and readable.
With 44 tools, this is a large surface that exceeds the 'too many' threshold in the calibration scale. While the server covers a broad Bitcoin intelligence domain, the sheer number of tools—especially with overlapping functionality—makes it feel bloated and difficult to navigate.
The tool set covers virtually every major aspect of Bitcoin intelligence: address analysis, entity rollups, mempool state, network stats, mining pools, on-chain pulse events, transaction verification, timestamping, and batch operations. There are no obvious dead ends or missing capabilities for the stated purpose.