getDataType

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

Annotations already declare readOnlyHint=true, destructiveHint=false, etc. The description adds useful context: return format (JSON with message array), and error behavior (empty or 404). This adds value beyond annotations.

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?

Description is brief, front-loaded with purpose, uses bullets for clarity, and every sentence adds value. No wasted words.

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?

For a simple read operation with rich annotations and one parameter, the description fully covers what an agent needs: purpose, parameter, return shape, and error handling. No gaps given the simplicity.

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?

Only one parameter (data_id) with 100% schema coverage. The description merely restates it as required, adding no new semantic information beyond the schema's description ('Data type primary key').

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 explicitly states the verb ('Get'/'Fetch'), the resource ('single data type record'), and highlights it's read-only. It distinguishes from the sibling 'listDataTypes' by noting it fetches one record vs enumerating many.

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?

Provides clear when-to-use ('fetching one data type's record by ID'), specifies required parameter ('data_id'), and references an alternative tool ('listDataTypes' for enumeration).

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