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peakacom

peaka-mcp-server

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by peakacom

peaka_list_connections

Read-only

List all data source connections in a Peaka project, including id, name, type, and OAuth callback URLs, to discover wired data sources.

Instructions

List all data source connections in the Peaka project. Returns each connection's id, name, type, and (for OAuth-based connections) callback URL. Useful for discovering what data sources are wired up; pair with peaka_get_connection_detail for connection-specific configuration.

If you do not already know the projectId for the current task, call peaka_list_projects first and ask the user which project to use. Remember the chosen projectId for subsequent calls in this conversation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectIdYesThe Peaka project ID to run against.
Behavior4/5

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

Annotations declare readOnlyHint=true, and the description reinforces a read-only list operation. It adds details about returned fields but doesn't contradict annotations.

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 short paragraphs, each with a distinct purpose: purpose+returns and usage guidance. No filler, front-loaded with the core action.

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?

For a simple list tool with one parameter and no output schema, the description covers purpose, return fields, usage guidance, and references a complementary sibling — complete for effective use.

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 covers the projectId parameter with a brief description, but the description adds significant value by explaining how to obtain the projectId (via peaka_list_projects) — essential for correct 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 clearly states the tool lists data source connections, specifies what it returns (id, name, type, callback URL), and distinguishes it from siblings like peaka_get_connection_detail.

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

Usage Guidelines5/5

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

Explicitly advises when to use (discover data sources), pairs with peaka_get_connection_detail, and instructs on obtaining projectId via peaka_list_projects and user confirmation.

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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