service_status
Read Overpass engine readiness, dataset timestamp, billing state, and x402 payment mode. Public. Use geo_data with operation status for the full subsystem report.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Read Overpass engine readiness, dataset timestamp, billing state, and x402 payment mode. Public. Use geo_data with operation status for the full subsystem report.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the burden but does disclose that the tool is 'Public', implying no authentication is required, and 'Read' implies a non-mutating operation. It does not state side effects, rate limits, or failure behavior, though for a zero-parameter status probe the risk surface is small.
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?
Three short sentences, front-loaded with the core capability and followed by access level and the sibling alternative. No filler or redundancy.
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?
There is no output schema, so the description usefully enumerates the return fields (readiness, dataset timestamp, billing state, payment mode), which is the key omitted structured data. A zero-parameter read tool with this field list is adequately covered, though response shape beyond the field names remains unspecified.
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 takes zero parameters, so there is nothing for the description to disambiguate; the baseline of 4 applies. The listed fields add context about scope but no parameter meaning is needed.
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?
States a specific verb (Read) and enumerates the exact resources returned: Overpass engine readiness, dataset timestamp, billing state, and x402 payment mode. This is precise enough to distinguish it from the broad geo_data sibling, which it explicitly names.
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?
Names the alternative directly ('Use geo_data with operation status for the full subsystem report'), giving a clear selection condition: this tool for a quick status read, geo_data for the fuller report. No explicit when-not or prerequisite guidance, but the routing to the sibling is unambiguous.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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