dataverse_list_choice_column_options

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

Annotations already indicate readOnlyHint=true and idempotentHint=true, covering safety. The description adds behavioral details: it handles both Picklist and MultiSelectPicklist automatically and emphasizes local vs global scope. No contradictions.

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 three concise sentences, front-loaded with the core purpose, and contains no redundant or irrelevant information.

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 the tool's complexity (local vs global, dual column types, OData filter integration), the description is complete. It covers use case, alternatives, and automatic handling, and an output schema exists so return value explanation is unnecessary.

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 itself provides descriptions for all parameters, so baseline is 3. The tool description adds minimal extra parameter meaning beyond the schema (e.g., mentioning that integer values are required for filters, but this is not directly a parameter clarification).

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 verb 'Get' and the specific resource 'option values and labels for a Picklist or MultiSelectPicklist column's LOCAL option set,' distinguishing it from the sibling tool dataverse_get_choice for global choices.

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 explicitly tells when to use this tool ('before filtering records with choice columns'), explains the need for integer values in OData filters, and directs users to dataverse_get_choice for global options, providing clear alternative guidance.

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