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space-mcp-server

space-mcp-server

by AiAgentKarl
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

get_usage_stats

Retrieve usage statistics for the MCP server, including total tool calls, calls per tool, and first and last call timestamps.

Instructions

Nutzungsstatistiken des MCP-Servers abrufen.

Zeigt: Gesamtanzahl Tool-Aufrufe, Aufrufe pro Tool, erster und letzter Aufruf.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_usage_stats"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It correctly identifies the tool as retrieving statistics, implying a read-only operation. However, it does not explicitly state that it is non-destructive or describe any side effects, but the nature is clear from the context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: two short sentences, front-loaded with the action, with no unnecessary words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no parameters and no output schema, the description provides adequate information about what is displayed. It could mention whether the statistics are cumulative or reset, but overall it is sufficient for the tool's simplicity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is empty (no parameters), so schema description coverage is 100% trivially. The description adds value by explaining what the tool returns, going beyond the schema which offers no information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'Nutzungsstatistiken des MCP-Servers abrufen' (retrieve usage statistics of the MCP server) and lists the specific metrics shown (total calls, per tool, first and last call). This distinguishes it from sibling tools which all deal with NASA data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives is provided. However, the description implies its use case (retrieving server usage stats), and since all siblings are unrelated NASA tools, the context is clear enough.

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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