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qso-graph

lotw-mcp

by qso-graph

lotw_dxcc_credits

Query DXCC award credits from Logbook of The World confirmations, with optional filtering by entity code, to track progress toward DXCC awards.

Instructions

Query DXCC award credits from LoTW confirmations.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
personaYesPersona name configured in adif-mcp.
entityNoOptional DXCC entity code to filter by.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only mentions 'Query', implying a read-only operation, but fails to detail return structure, pagination, or any side effects. The presence of an output schema partially mitigates this, but the description adds minimal behavioral context.

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?

The description is a single sentence that is front-loaded and concise. Every word serves a purpose. It lacks waste but could be slightly more informative without becoming verbose.

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

Completeness3/5

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

Given that the tool has only two parameters with full schema coverage and an output schema exists, the description is minimally adequate. However, the lack of usage guidelines and behavioral details (especially without annotations) leaves some gaps in completeness for an AI agent.

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

Parameters3/5

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

Schema description coverage is 100%, so the input schema already describes both parameters ('persona' and optional 'entity'). The description adds no additional meaning beyond what the schema provides. Baseline score of 3 is appropriate.

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

Purpose4/5

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

The description clearly states the verb 'Query' and resource 'DXCC award credits from LoTW confirmations', which distinguishes it from sibling tools like 'lotw_confirmations' or 'lotw_qsos' that likely query different data. It is specific and unambiguous, though a bit terse.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as 'lotw_confirmations' or 'lotw_download'. The description only states what it does, leaving the agent to infer usage context without explicit when-to-use or when-not-to-use instructions.

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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