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netlogger-mcp

netlogger-mcp

by qso-graph

Netlogger Set Callsign

netlogger_set_callsign
Idempotent

Stores your amateur radio callsign so NetLogger can identify your station before the first lookup. Set it once to enable user-specific net and check-in queries.

Instructions

Save the user's amateur radio callsign. Needed once, before the first lookup.

NetLogger is told which station is asking, in every request, so it can tell one user from another. Ask the user for their own callsign; don't guess it.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "callsign": "<callsign>"
    },
    "name": "netlogger_set_callsign"
  }
}

Input Schema

NameRequiredDescriptionDefault
callsignYesThe user's callsign (e.g. KI7MT).

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnly=false, idempotent=true, destructive=false, so the write/idempotency profile is covered structurally. The description adds real context beyond that: the callsign is sent with every request to distinguish users, which explains why it must be set first and why it must be accurate. It stops short of saying whether the value persists across sessions or can be overwritten later.

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

Conciseness4/5

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

Three short sentences, front-loaded with the action and its timing. The explanation of why NetLogger needs the callsign is slightly padded but earns some of its space by justifying the 'ask, don't guess' rule.

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?

An output schema exists and annotations cover safety, so the description needn't explain return values. It covers purpose, timing, and value provenance; the only gap is lifecycle behavior — whether re-calling it replaces the stored callsign or whether it is scoped to the session.

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

Parameters4/5

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

Schema coverage is 100% with a single well-documented parameter, so baseline would be 3. The description adds provenance guidance beyond the schema — the value must come from the user, not be inferred — which meaningfully constrains how the agent should populate the field.

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?

States a specific verb and resource — "Save the user's amateur radio callsign" — and immediately clarifies its role as a one-time identity setup step. Against siblings that are all read-only net/checkin queries, this is unmistakably the configuration setter.

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

Usage Guidelines5/5

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

"Needed once, before the first lookup" gives explicit ordering and prerequisite context, and "Ask the user for their own callsign; don't guess it" is an explicit when-not instruction. No alternative tool exists for this purpose, so nothing is left to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.