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ecosystem_quick_setup

Set up data sources and scan profile in a single call for ecosystem indexing. Ideal for bootstrapping new projects.

Instructions

One-shot ecosystem setup wizard — create data sources + scan profile in one call.

Use this when bootstrapping a fresh project to ecosystem indexing. Maps to POST /api/ecosystem/quick_setup which creates one DataSource per entry in sources (each enabled by default) and persists either the default ScanProfile or the merged custom_profile override.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queriesNoKeyword / topic list applied to every created data source's ``config.queries`` field. Optional.
sourcesNoData source kinds to enable, e.g. ``['github', 'huggingface']``. Must each be a valid ``DataSourceKind`` value (github / huggingface / npm / pypi / hackernews / producthunt / arxiv / custom). Defaults to ``['github']`` when empty.
use_defaultsNoWhen True (default), persist the built-in default ScanProfile. When False, the API merges ``custom_profile`` over the defaults.
custom_profileNoAdvanced override dict; ignored when ``use_defaults=True``.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries full burden. It states the tool creates data sources and persists a scan profile, and mentions the API endpoint. However, it omits details such as whether existing data sources are overwritten, error handling, or idempotency, leaving room for ambiguity.

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 concise, with two sentences and an API endpoint note. It is front-loaded with the core purpose and efficiently provides necessary details without redundancy.

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?

The tool has an output schema (though not shown) and 4 parameters with full schema coverage. The description explains the combined setup behavior and when to use it. Missing elements include prerequisites, error conditions, and return value details, but it remains fairly complete for a wizard tool.

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

Parameters4/5

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

Schema description coverage is 100%, and the description adds useful context beyond the schema (e.g., 'each enabled by default' for sources, 'advanced override dict' for custom_profile, and that queries apply to all data sources). This provides meaningful guidance for parameter usage.

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 the tool is a 'one-shot ecosystem setup wizard' that creates data sources and a scan profile in one call. It clearly identifies the verb (create) and resources (data sources + scan profile), and distinguishes itself from siblings like ecosystem_data_source_create and ecosystem_scan_profile_update by combining both operations.

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 explicitly says to use this tool 'when bootstrapping a fresh project to ecosystem indexing,' providing clear context. However, it does not specify when not to use it or contrast with alternative tools that handle individual steps.

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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