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List connected adapters

liquid_list_adapters
Read-onlyIdempotent

Retrieve local list of connected adapters to obtain adapter IDs for data fetching or verify API status before connecting.

Instructions

List the adapters already connected on this machine (read from ~/.liquid) — read-only, no network call, no LLM. Each entry has its adapter_id, service name, source url and endpoint paths. Call this to find an adapter_id for liquid_fetch / liquid_query / liquid_estimate, or to check whether an API is already connected before calling liquid_connect.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
adaptersNoConnected adapters with adapter_id, service, url, endpoints.
errorNo
Behavior5/5

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

Annotations already indicate readOnly, destructive, idempotent hints. Description adds 'read-only, no network call, no LLM' and specifies data source (~/.liquid), providing context beyond annotations. No contradiction.

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 sentences, each earning its place. First states function, second provides usage context. No wasted words, well-structured.

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 zero parameters, rich annotations, and presence of output schema, the description fully covers what the tool does, its data source, fields in output, and when to use it. Complete for the task.

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?

No parameters; schema coverage is 100%. Baseline is 4 per the rule. The description does not need to add param info, and it is clear that no parameters exist.

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 'List the adapters already connected' with specific verb and resource. It distinguishes from siblings by noting it's read-only, no network, no LLM, and explicitly names sibling tools for context.

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?

Provides explicit usage guidance: 'Call this to find an adapter_id for liquid_fetch / liquid_query / liquid_estimate, or to check whether an API is already connected before calling liquid_connect.' This directly tells when to use and implies when not to.

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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