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lifedb_adapters

List all data source adapters and their manifest details—name, modality, mode, and idempotency mechanism—to see which inputs your local timeline can ingest.

Instructions

列出全部数据源 adapter (adapters/*.manifest.json): 名称/模态/模式/幂等机制。 manifest 即插件契约, 见 docs/PRODUCT.md §3。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It does disclose the data source (adapters/*.manifest.json) and the returned attributes, but never states that this is a side-effect-free read or anything about auth/scope. Adequate but incomplete for a zero-annotation tool.

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 tight sentences with the verb and resource front-loaded; the field list is compact and every clause earns its place.

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?

An output schema exists, so return values need no prose explanation, and the description adds the manifest-as-plugin-contract framing. It is nearly complete, only missing an explicit read-only cue.

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?

The tool takes no parameters, so the baseline is 4. There is nothing for the description to clarify beyond confirming the call needs no arguments.

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?

States a specific verb (列出/list) and resource (data source adapters), and enumerates the returned fields (名称/模态/模式/幂等机制). This clearly separates it from sibling tools that query, export, or ingest data.

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

Usage Guidelines3/5

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

Implies usage (discovering available adapters) but never states when to reach for this versus siblings like lifedb_ingest_jsonl or lifedb_stats, nor any prerequisites. The docs/PRODUCT.md §3 pointer is a reference, not usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.