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theonlytruebigmac

N-central MCP Server

list_org_units

Read-only

Retrieve organization units with filtering, sorting, and pagination. Use 'all: true' for complete results or 'format: csv' for spreadsheet output.

Instructions

Retrieve a list of all organization units. Returns one page by default — set all: true to auto-paginate. Use format: "csv" for spreadsheet-ready output.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNumberNoPage number (starts at 1)
pageSizeNoNumber of items per page (max 200)
selectNoFilter expression (FIQL/RSQL predicate) — despite the "select" name, this filters rows, it does NOT pick fields. Syntax: `field==value`, join predicates with `;` for AND. Example: `soId==50` returns only the SO with that ID. Not all fields are queryable; unsupported ones error with "Field not found: X".
sortByNoField to sort results by
sortOrderNoSort order: ASC, asc, ascending, natural, desc, descending, reverse
allNoAuto-paginate: fetch every page and return the combined list. Ignores pageNumber/pageSize. Use for complete results; omit to return a single page (cheaper, safer for large environments).
formatNoOutput format: "csv" or "json". Default varies by tool — list_* default to json; report_* default to csv.
Behavior4/5

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

Annotations indicate readOnlyHint=true and destructiveHint=false, so the description's 'Retrieve' aligns. It adds important behavioral details beyond annotations: default single-page return, auto-pagination with all:true, and format options. No contradictions 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?

The description is concise at three sentences, with the main purpose front-loaded. Every sentence adds essential information (default behavior, auto-pagination, format option), and there is no wasted text.

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?

With 7 parameters and no output schema, the description covers key usage points: pagination control, filtering via select, and output format. It lacks detail on sortBy/sortOrder and the exact return structure, but these are adequately described in the schema. Overall, it provides sufficient context for correct invocation.

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 description coverage is 100%, baseline 3. The description adds value by explaining the all parameter's effect on pagination, the format parameter's CSV use case, and the select parameter's filtering behavior with an example. This enhances understanding 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 the tool retrieves a list of all organization units. It distinguishes from sibling tools like list_org_unit_children by focusing on the full list, and the parameter details further clarify its scope.

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 description provides guidance on pagination and output format (csv vs json), which helps in parameter selection. However, it does not explicitly state when to use this tool over other list tools (e.g., list_org_unit_children), leaving the agent to infer based on the tool name.

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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