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UliRCS

mastr-mcp-server

by UliRCS

search_gas_production_public

Search for gas production and storage units including biogas plants, Power-to-Gas, LNG terminals, fossil gas producers, and gas storage with 30 filter keys.

Instructions

Search gas production and storage units (Gaserzeugung) — no auth required.

Find biogas plants, Power-to-Gas (hydrogen/methane), LNG terminals, fossil gas producers, and gas storage units. 30 filter keys including gas technology and unit type (producer vs. storage).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo1-based page number.
filtersYesFilter dict with optional operator suffixes on each key. Operators: '=' (eq, default), '!=' (neq), '%' (contains), '!%' (not contains), ':' (starts with), '$' (ends with), '>' (gt), '<' (lt), '?' (is null), '!' or '!?' (is not null). Supported filter keys: name, mastr_number, mastr_operator, location_mastr, dso_mastr, operator_name, dso_name, postcode, city, landkreis, street, bundesland, municipality, municipality_key, landmark, parcel, country, longitude, latitude, status, commission_date, current_location_date, shutdown_date, planned_date, registration_date, last_update, gas_production_capacity, gas_technology, unit_type, dso_check. Dropdown fields (status, bundesland, country, gas_technology, unit_type, dso_check) accept label or MaStR ID. gas_technology values: 'Biomethan-Erzeugung', 'Förderung fossilen Erdgases', 'Liquefied Natural Gas', 'Power-to-Gas (Methan)', 'Power-to-Gas (Wasserstoff)'. unit_type values: 'Gaserzeugungseinheit', 'Gasspeichereinheit'. Example: {'gas_technology': 'Power-to-Gas (Wasserstoff)', 'status': 'In Betrieb'}
page_sizeNoPage size (max 5000).
Behavior4/5

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

With no annotations, the description covers key behavioral aspects: it is a read-only public search (no auth), details filter operators and dropdown fields, and provides an example. It does not mention rate limits or pagination behavior beyond default page size, but these are less critical for search.

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 efficient: two short paragraphs, bolded key phrase, and bullet-like listing. Every sentence adds value without redundancy, making it easy to scan.

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?

The tool has no output schema and nested objects. The description focuses on input parameters and search scope but does not explain return fields or structure. For a search tool, this is adequate but could mention typical response fields (e.g., unit details, capacity).

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

Parameters5/5

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

The schema has 100% description coverage with each parameter documented. The description adds significant value by listing filter key categories (gas technology, unit type) and explaining operators, dropdown values, and an example, greatly enhancing understanding beyond 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 clearly states it searches gas production and storage units (Gaserzeugung), listing specific types like biogas, Power-to-Gas, LNG, fossil gas, and storage, and explicitly says no auth required. It distinguishes from sibling tools like search_power_generation_public by targeting gas-specific entities.

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

Usage Guidelines4/5

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

The description indicates it is for public data (no auth) and lists the types of units, implying use for gas-related searches. However, it does not explicitly state when not to use it or provide direct comparisons to siblings, but the context from sibling names (power, actors, consumption) gives guidance.

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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