OECD-Search
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| XBY_APIKEY | Yes | 你的实际apikey (Your actual API key) |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| search_dataflowsC | Search for OECD datasets (dataflows) by keyword. Returns matching datasets with their IDs, names, and descriptions. |
| list_dataflowsC | List available OECD dataflows (datasets), optionally filtered by category. Use this to browse datasets by topic area. |
| get_data_structureB | Get the metadata and structure of a specific OECD dataset. Returns dimensions, attributes, and valid values for querying data. |
| query_dataA | Query actual statistical data from an OECD dataset. ⚠️ IMPORTANT: Defaults to last 100 observations (max 1000) to protect context window. Use filters, time periods, or last_n_observations to control data size. Large datasets (e.g. SOCX_AGG) can have 70,000+ observations - always specify limits! |
| get_categoriesA | Get all available OECD data categories (17 categories covering all topics: Economy, Health, Education, Environment, etc.) |
| get_popular_datasetsB | Get a curated list of commonly used OECD datasets across all categories. |
| search_indicatorsC | Search for specific economic or social indicators by keyword (e.g., "inflation", "unemployment", "GDP"). |
| get_dataflow_urlA | Generate an OECD Data Explorer URL for a dataset. Use this to provide users with a direct link to explore data visually in their browser. |
| list_categories_detailedB | Get all OECD data categories with example datasets for each category. Returns comprehensive information about all 17 categories. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 9 tools
Most tools have distinct purposes, such as get_categories for category lists, query_data for data retrieval, and search_dataflows for dataset searches. However, get_categories and list_categories_detailed overlap significantly in purpose, both retrieving categories with only minor differences in detail level, which could cause confusion in selection.
All tool names follow a consistent verb_noun pattern using snake_case, such as get_categories, query_data, and search_indicators. This uniformity makes the tool set predictable and easy to navigate, with no deviations in naming conventions.
With 9 tools, the server is well-scoped for OECD data exploration, covering browsing, searching, querying, and metadata retrieval. Each tool serves a clear function, and the count aligns with typical server sizes, avoiding bloat or insufficiency.
The tool set provides comprehensive coverage for data discovery and access, including category listing, dataset browsing, searching, and data querying. A minor gap exists in update or management operations, but this is reasonable for a read-only data search server, and agents can work effectively with the available tools.