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Kenny-666

Dynamics 365 MCP Server

by Kenny-666

list_all_entity_definitions

Retrieves basic definitions—logical and display names—for every entity in the system, helping you discover available Dataverse tables before querying or modeling data.

Instructions

List basic definitions (logical name, display name, etc.) for all entities in the system.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations at all, the description carries the full disclosure burden and says nothing about side effects, permissions, or result volume. It gives no warning that this may return a large unpaginated dump of every entity in the environment, nor any indication of whether the data is cached or freshly read.

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?

One front-loaded sentence with no preamble or filler, and the scope ('all entities') appears before the field list. The trailing 'etc.' is the only soft spot, adding vagueness without adding detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a zero-parameter read tool this is close to sufficient, but with no annotations and no output schema the description should still tell the agent the shape and scale of the response and how to follow up for richer metadata. As written the agent knows what it lists but not what it will get back.

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 takes zero parameters, so there is nothing for the description to disambiguate and the baseline of 4 applies. The description's mention of returned fields is a small bonus rather than required parameter information.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description pairs a specific verb ('List') with a specific resource ('basic definitions... for all entities') and enumerates the returned fields (logical name, display name), so an agent knows exactly what it gets. It does not, however, distinguish itself from overlapping siblings such as get_entity_metadata_summary or get_model_definition.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use, no when-not-to-use, and no mention of the many sibling tools that surface entity metadata. The only hint is the word 'all' plus 'basic', which implicitly signals bulk shallow enumeration versus a detailed metadata call, but the agent must infer that itself.

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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