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Microsoft Fabric RTI MCP Server

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kusto_list_entities

Read-only

Retrieve a list of all entities—databases, tables, views, functions, and graphs—from a Kusto cluster by specifying the cluster URI and entity type.

Instructions

Retrieves a list of all entities (databases, tables, external tables, materialized views,
functions, graphs) in the Kusto cluster.

:param entity_type: Type of entities to list: "databases", "tables", "external-tables",
"materialized-views", "functions", "graphs".
:param database: The name of the database to list entities from.
Required for all types except "databases" (which are top-level).
:param cluster_uri: The URI of the Kusto cluster.
:param client_request_properties: Optional dictionary of additional client request properties.

:return: List of dictionaries containing entity information.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cluster_uriYes
entity_typeYes
databaseNo
client_request_propertiesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds minimal behavioral context beyond listing the return type. It does not discuss pagination, limits, or error handling.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is structured with a clear purpose then parameter details. However, the docstring format (':param' and ':return') is slightly verbose. It could be more concise without losing clarity.

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?

For a listing tool with multiple entity types, the description covers the core functionality and dependencies adequately. It lacks edge-case context like handling of missing required database or system entities, but an output schema exists to specify return format.

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

Parameters5/5

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

Schema description coverage is 0%, but the description fully compensates by clearly defining each parameter, including valid entity_type values, when 'database' is required, and the purpose of client_request_properties.

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 verb (Retrieves), the resource (list of all entities), and the scope (in the Kusto cluster). It enumerates specific entity types, distinguishing it from sibling tools like kusto_query or kusto_describe_database_entity.

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 explains the role of the 'database' parameter for different entity types but does not provide when-to-use or when-not-to-use guidance relative to other tools. No explicit alternatives or exclusions are mentioned.

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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