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ryanmichaeljames

Dataverse MCP Server

dataverse_list_async_operations

Read-onlyIdempotent

List system job records in Dataverse with filtering by state, status, or operation type. Returns key fields including IDs, timestamps, and status labels.

Instructions

List asyncoperation (system job) records in the Dataverse environment.

Returns asyncoperationid, name, operationtype, statecode, statuscode, message, friendlymessage, startedon, completedon, createdon, modifiedon, and _regardingobjectid_value. Also includes statecode_label and statuscode_label for human readability. Filter by state_code (0=Ready,1=Suspended,2=Locked,3=Completed), status_code (0=WaitingForResources,10=Waiting,20=InProgress,21=Pausing, 22=Canceling,30=Succeeded,31=Failed,32=Canceled), or operation_type (raw int). Use dataverse_get_async_operation for full details on a specific job.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate read-only, idempotent, and non-destructive. The description adds context by listing returned fields and explaining filter parameters, but doesn't disclose pagination or performance characteristics.

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?

Description is concise: one line for purpose, one for returned fields, one for filters, and one for sibling guidance. No wasted words and front-loaded with key information.

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?

Output schema exists, so return value documentation is not required. The description covers purpose, available fields, and filters adequately for a list operation.

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 high (each parameter has descriptions). The description adds value by listing common operation_type integers and clarifying state_code/status_code values, but many details are already in 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 'List asyncoperation (system job) records' and lists returned fields. It distinguishes from sibling 'dataverse_get_async_operation' by noting that tool provides full details on a specific job.

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?

The description specifies when to use this tool vs. the get tool: 'Use dataverse_get_async_operation for full details on a specific job.' This provides clear alternative guidance, though it doesn't explicitly state when not to use it.

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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