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compare_stations

Read-onlyIdempotent

Compare Gilgit-Baltistan stations on one variable to see average yearly values and per-decade trends ordered by elevation, from low to high.

Instructions

Compare all stations on one variable: the average yearly value and the trend per decade, low to high elevation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_yearNo
variableYes
start_yearNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and closed-world behavior, so the safety profile is covered. The description adds genuinely non-structured behavioral context: results are aggregated across all stations and returned ordered low to high elevation, which an agent could not infer otherwise.

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?

One tight sentence with the core action front-loaded and no redundant padding. It is efficient, though it could have spent a few words covering the year-range parameters instead of nothing at all.

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?

An output schema exists, so return values need not be explained, and annotations cover safety. However, for a tool with zero schema-description coverage, the omission of any guidance on the year parameters and the 'variable' vocabulary leaves real gaps for correct invocation.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must carry all parameter meaning. It hints at the required 'variable' ('on one variable') but says nothing about start_year, end_year, their defaults, their accepted range, or the accepted variable names/formats, leaving two of three parameters undocumented.

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?

States a specific verb ('Compare') and resource ('all stations') plus the exact computed outputs (average yearly value, trend per decade) and ordering. This separates it from list_stations and climate_trend, though it does not explicitly name a sibling to distinguish against.

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?

The description gives no when-to-use context, no prerequisites, and no guidance on choosing between this and siblings like climate_trend or list_stations. Usage is only implied by the word 'compare'.

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