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ibkortex

kortex-mcp

Official
by ibkortex

list_collections

Discover available enterprise collections and their version labels before running a query. Returns collection IDs, names, descriptions, and versions to help you select the right dataset.

Instructions

List all collections accessible to this API key.

Returns a list of collections, each containing:

  • id: unique collection identifier (use this in retrieve)

  • nombre / descripcion: human-readable name and description — read these to understand what a collection contains before deciding whether to query it

  • availableVersions: logical version labels you can query (e.g. ["v1", "v2"])

Call this before retrieve to know which collection IDs and version labels are available.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4.9/5.0
Behavior5/5

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

With no annotations, the description carries the full burden. It discloses the API key scope ('accessible to this API key'), describes the return structure in detail (id, nombre/descripcion, availableVersions), and implies a read-only operation via 'List.' The mention of availableVersions as queryable labels adds behavioral context beyond a simple list.

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 front-loaded with the core action, uses a bulleted list for return fields, and adds a clear usage directive at the end. Every sentence serves a purpose, with no redundancy.

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 no parameters and no output schema, this description is complete: it states what is returned, the meaning of each field, and how to use the results as a precursor to retrieval. No additional context is needed.

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 baseline is 4. The description still adds meaning by explaining how the output fields relate to subsequent retrieval, even though no parameter details are needed.

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 opens with a specific verb and resource: 'List all collections accessible to this API key.' It clearly distinguishes from the sibling tool retrieve by stating the id is 'use this in retrieve' and recommending calling this before retrieve.

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?

Explicit usage guidance is provided: 'Call this before retrieve to know which collection IDs and version labels are available.' It also advises reading nombre/descripcion to understand what a collection contains before querying it, which helps agents decide when to proceed.

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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