network_mempool
Mempool size time series (number of pending transactions). window in 1h,24h,7d,30d,90d,1y,5y.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| window | No | Time window, one of 1h, 24h, 7d, 30d, 90d, 1y, 5y. Example: 30d | 24h |
Mempool size time series (number of pending transactions). window in 1h,24h,7d,30d,90d,1y,5y.
| Name | Required | Description | Default |
|---|---|---|---|
| window | No | Time window, one of 1h, 24h, 7d, 30d, 90d, 1y, 5y. Example: 30d | 24h |
Changes observed during successful MCP inspections.
Input schema / properties / window / descriptionAdded value: +"Time window, one of 1h, 24h, 7d, 30d, 90d, 1y, 5y. Example: 30d"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is fully covered by structured data. The description adds the semantic of what is measured (pending transaction count over a window), which is useful given there is no output schema. It does not add anything else about behavior, which is acceptable here.
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?
Two short sentences with the resource and metric front-loaded; nothing is padded. The second sentence largely duplicates the schema's window enum, which is minor but not harmful.
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 whose annotations cover safety, the definition is close to sufficient. However, with no output schema, it does not describe the shape of the series (resolution, number of points, aggregation method), which an agent might need to interpret results.
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% and the single 'window' parameter already documents the allowed values and an example. The description restates the same enumeration, adding no default value, format, or interpretation detail beyond the schema, so baseline 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 states a specific resource and metric: a mempool-size time series counting pending transactions. That clearly distinguishes it from siblings like network_hashrate, network_blocktime, or pool_distribution. It lacks an explicit verb (e.g. 'returns'/'fetches') but the intent is unambiguous.
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 on when to use this tool versus an alternative, and no prerequisites or exclusions are mentioned. The only usable context is the metric name itself, which happens to be unique among the listed siblings, so usage is inferred rather than stated.
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.