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List collections

data_collections
Read-only

List available data collections with item counts and last activity to locate where data lives, identify user boards, or choose a collection to bind an app.

Instructions

List every data collection that exists (name, item count, last activity). Use when unsure where data lives, what boards the user has, or which collection to bind an app to. Renders no UI.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
collectionsYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Changed2 schema fields changedv0.6.0
    • removedOutput schema / properties / collections / items / properties / last_activity / anyOf
      Removed value: -[
      -  {
      -    "type": "string"
      -  },
      -  {
      -    "type": "null"
      -  }
      -]
    • addedOutput schema / properties / collections / items / properties / last_activity / type
      Added value: +[
      +  "string",
      +  "null"
      +]
  2. First observedv0.5.7

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, covering the safety profile. The description adds useful behavioral context: it guarantees a full enumeration of all collections and explicitly states 'Renders no UI.' No contradiction with 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?

Three concise sentences, each delivering distinct value: what is listed, when to use the tool, and the rendering behavior. The core action is front-loaded with no filler.

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 parameterless listing tool with an output schema and read-only annotation, this description covers scope, use cases, and behavioral nuance. Nothing essential for calling it correctly is missing.

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 has zero parameters, so the schema conveys all there is to know. There is no parameter meaning for the description to clarify; baseline 4 applies.

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 ('List'), a clear resource ('every data collection that exists'), and the returned fields (name, item count, last activity). The phrase 'every data collection' distinguishes it from content-level tools like data_list, which operate on items within a collection.

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?

Provides explicit when-to-use guidance: 'Use when unsure where data lives, what boards the user has, or which collection to bind an app to.' It does not explicitly list exclusions or name alternative tools, but the contexts are concrete enough to guide selection.

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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