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Record and retrieve amateur radio QSO/contest logbook data. Get or set fields such as call, frequency, and exchange, or access full ADIF records.

Instructions

Logbook (QSO / contest) fields. operations: get (field=...), set (field=..., value=...), clear, last_record, all_records.

Settable fields: call, name, qth, locator, serial_number, exchange, rst_in, rst_out. Gettable fields also include frequency, time_on/off, serial_number_sent, state, province, country, band, notes, az. last_record / all_records return ADIF.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fieldNo
valueNo
operationYes
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 discloses that some fields are settable and some are gettable, and that last_record/all_records return ADIF. However, it does not mention any side effects, permissions, or error handling.

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 very concise, using two sentences to convey operations and field categories. It is front-loaded with the purpose and enumerates efficiently. No wasted 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 output schema, the description partially explains return values (ADIF for last_record/all_records) but omits return formats for get, set, clear. It covers all operations and field lists, making it mostly adequate for a multi-operation tool.

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?

The input schema has 0% description coverage, so the description must compensate. It does so by explaining the 'operation' parameter values and listing which fields are valid for 'field' in get vs set contexts. This adds significant meaning beyond the bare schema.

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 is for Logbook fields and lists specific operations (get, set, clear, last_record, all_records). It distinguishes from sibling tools like 'frequency' or 'status' by specifying the context of QSO/contest log fields.

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?

The description implies when to use each operation via the list of fields and operations, but does not explicitly state when not to use it or provide alternatives. For example, it doesn't guide against using 'set' when only read access is needed.

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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