Dataverse MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It correctly identifies this as a creation operation and mentions the solution context prerequisite, but doesn't address important behavioral aspects like whether this operation is reversible, what permissions are required, potential rate limits, or what happens if creation fails. The description provides basic behavioral context but leaves significant gaps.

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

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

The description is perfectly concise with just two sentences that each earn their place. The first sentence states the core purpose, and the second provides essential usage context and prerequisites. There's no wasted language or redundancy.

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

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

Given this is a creation tool with 13 parameters, no annotations, and no output schema, the description provides basic completeness but has significant gaps. It covers the 'what' and 'when' but lacks information about the return value, error conditions, permissions required, or system impacts. For a complex creation operation in Dataverse, more contextual information would be helpful.

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

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

The schema description coverage is 100%, so the schema already documents all 13 parameters thoroughly. The description mentions 'specified configuration' but doesn't add any meaningful parameter semantics beyond what's in the schema. It doesn't explain relationships between parameters or provide usage examples for complex parameters like 'primaryNameAutoNumberFormat'.

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

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

The description clearly states the specific action ('Creates a new custom table') and resource ('in Dataverse'), distinguishing it from sibling tools like 'create_dataverse_column' or 'create_dataverse_solution'. It explicitly identifies what type of entity is being created and for what purpose ('to store business data').

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

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

The description provides clear context for when to use this tool ('when you need to create a new entity to store business data') and includes an important prerequisite ('Requires a solution context to be set first'). However, it doesn't explicitly mention when NOT to use it or name specific alternatives among the sibling tools for similar operations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.