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io.github.qso-graph/cq-zones-mcp

by qso-graph

Cq Zones Valid On

cq_zones_valid_on

Check whether a CQ zone (1–40) was valid on a specific date. Helps standardize zone-validity answers across owner-list servers.

Instructions

Whether a CQ zone was valid on a date. CQ's list gives no validity window, so every zone it lists is valid; the tool exists so every owner-list server answers the same questions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesA CQ zone number, 1 to 40.
on_dateYesThe date, YYYY-MM-DD.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden, and it discloses a genuinely non-obvious trait: CQ's list has no validity window, so every listed zone is valid. That tells the agent the expected answer before it calls. It stops short of describing unknown/out-of-range code handling or confirming read-only semantics.

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?

Two sentences, front-loaded with the operation before the rationale. The second sentence is somewhat meta but earns its place by explaining the always-valid semantics. No wasted text.

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, so return-value explanation is unnecessary, and the description supplies the key semantic quirk an agent needs. For a simple two-required-param boolean query, it is nearly complete, only missing error/edge-case behavior.

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%: code is documented as 1-40 and on_date as YYYY-MM-DD. The description adds no format or range detail beyond that, so the baseline 3 applies.

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 states a specific operation on a specific resource: whether a CQ zone was valid on a given date. It is clear and self-contained, but it does not explicitly differentiate itself from siblings like cq_zones_lookup or cq_zones_search, so an agent must infer the distinction.

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 rationale 'so every owner-list server answers the same questions' implies the tool is the canonical validity check, but it never states when to prefer this over cq_zones_lookup or cq_zones_search. Usage is implied rather than spelled out.

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