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atrisorb
by atrisorb

list_integrations

Check which data sources are available for AI generation by listing connected integrations and their health. Optionally filter by project to see resource bindings and provider coverage.

Instructions

List connected integrations. With a project scope it returns the resources bound to that project plus their health (connection status, provider coverage); without one it returns the sources the API key owner has connected. Use it to check what data a generation can draw on.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoProject id (from list_projects) for project-scoped resources. Omit (or rely on the active project) for the owner's connected sources.
Behavior3/5

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

With no annotations, the description carries the full burden. It explains the behavior difference based on the presence of a project_id and mentions returned data (health, provider coverage). It lacks details on authorization, rate limits, or output format, but is adequate.

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 concise sentences with no wasted words. The first sentence states the action, the second provides context and use case. Information is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of output schema, the description adequately describes what is returned in both modes (resources with health vs connected sources). It covers all necessary information for a list tool.

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 coverage is 100%, and the description adds significant value by explaining the semantic difference between providing or omitting project_id, going beyond the schema's minimal description.

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 the action 'List connected integrations' and distinguishes between two scopes (project vs owner), making the tool's purpose specific and easily understood.

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 advises using the tool 'to check what data a generation can draw on', providing a clear use case. However, it does not mention when not to use it or alternatives among siblings.

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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