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raheb77

io.github.raheb77/saudi-open-data-mcp

by raheb77

materialize_hot_set

Persist the fixed Wave 1 SAMA hot-set to local snapshots. Enable include_optional for Tier B datasets like 'sama-pos-by-city'.

Instructions

Fetch and persist the fixed Wave 1 SAMA hot-set into local snapshots. Tier B remains opt-in via include_optional.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
include_optionalNoWhether to include optional Tier B hot-set datasets during materialization. Use false for the default Tier A set; true also includes datasets such as 'sama-pos-by-city'.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are present, so the description carries the full transparency burden. It does disclose a persistence side effect ('persist into local snapshots') and notes that Tier B is excluded by default. However, it does not mention whether existing snapshots are overwritten, whether the operation is destructive, or what failure modes exist, leaving a meaningful transparency gap.

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?

Two sentences, the first gives the action and scope, the second clarifies the optional parameter. No filler words; information is front-loaded.

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?

For a single-optional-parameter tool with an output schema, the description covers the core purpose and the one decision point. It leaves out details like what 'hot-set' contains or what a 'snapshot' is, but those are likely domain terms and not required to call the tool correctly. The description is adequate though not exhaustive.

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%, and the parameter's schema description already fully explains include_optional. The description's clause 'Tier B remains opt-in via include_optional' restates this rather than adding new semantic content, so no additional value over the 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 states a specific action ('Fetch and persist') on a concrete resource ('fixed Wave 1 SAMA hot-set') with a clear scope ('into local snapshots'). This clearly distinguishes it from sibling tools like download_dataset or query_dataset, which do not imply local persistence.

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 the tool – when you want to materialize the hot-set locally – but it never explicitly names an alternative or states a condition for choosing this tool over a sibling. The only usage hint is the mention that Tier B is opt-in via include_optional, which is parameter guidance rather than tool-selection guidance.

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