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Jedox MCP Server

by emilabd247

Get Jedox Cell Value

jedox_get_cell_value
Read-onlyIdempotent

Retrieve a single cell value from a Jedox cube by specifying the database, cube, and an ordered path of element names per dimension.

Instructions

Read a single cell value from a Jedox cube.

Args:

  • database_id: Numeric ID of the database

  • cube_id: Numeric ID of the cube

  • path: Array of element names, one per dimension in cube order. IMPORTANT: Use jedox_get_cube first to confirm dimension order. Example for a cube with dimensions [Accounts, Periods, Regions]: path = ["Revenue", "Jan 2025", "North"]

Returns: { path, value, type }

  • type: "numeric" or "string"

  • value: number or string

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
database_idYes
cube_idYes
pathYesOne element name per cube dimension, in the exact order the cube was created. Use jedox_get_cube to confirm dimension order.
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and openWorldHint=true. The description adds value by specifying the return value structure (path, value, type) and indicating that value can be numeric or string. No contradictions.

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 extremely concise, consisting of a one-line purpose followed by clearly sectioned Args and Returns. Every sentence adds value with no repetition or fluff.

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 read-only tool with comprehensive annotations, the description is complete. It covers input requirements (including the critical path order), expected output format, and provides a practical example. 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?

Schema coverage is only 33% (path has a description). The description adds meaning by stating that database_id and cube_id are numeric IDs and that path is an array of element names in cube dimension order. It also warns about dimension order and suggests using jedox_get_cube, which goes beyond the schema.

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 'Read a single cell value from a Jedox cube,' using a specific verb and resource. It distinguishes from siblings like jedox_get_cell_range (range query) and jedox_set_cell_value (write operation).

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?

It includes explicit guidance on the path argument, instructing users to 'use jedox_get_cube first to confirm dimension order.' However, it does not explicitly state when to use this tool vs. alternatives like get_cell_range, though the single-cell scope is implied.

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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