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Dplooy

by com.dplooy.api
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Get data collection

get_data_collection
Read-only

Get one Dplooy Data collection: its field schema, rows, public URL, and the canonical fetch snippet.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "collectionId": "<collectionId>"
    },
    "name": "get_data_collection"
  }
}

Input Schema

NameRequiredDescriptionDefault
collectionIdYesThe collection ID

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

The readOnlyHint annotation already covers the safety profile, and the description adds useful behavior by listing exactly what the response contains: field schema, rows, public URL, and fetch snippet. This is especially valuable because there is no output schema.

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?

The description is a single front-loaded sentence with no filler. The main purpose is stated first, and the colon efficiently introduces the enumerated return contents.

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 low complexity, single parameter, and readOnly annotations, the description is complete enough for an agent to select and invoke the tool. It explains what will be returned despite the lack of an output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the description does not need to compensate for undocumented parameters. The description adds contextual meaning by framing collectionId as identifying 'one Dplooy Data collection,' but it adds no format or syntax details.

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 states a specific verb, resource type, and scope: 'Get one Dplooy Data collection.' It also enumerates the returned content (field schema, rows, public URL, fetch snippet), which clearly distinguishes it from sibling tools like list_data_collections.

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?

The singular 'one' implies this tool is for retrieving a single collection by ID, while sibling list_data_collections is for multiple collections. However, there is no explicit when-to-use guidance, exclusions, or mention of alternatives.

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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