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get-dx

DX MCP Server

by get-dx

getEntityDetails

Retrieve comprehensive entity details including information, tasks, and scorecards to assess operational readiness and health status.

Instructions

Get comprehensive details about a specific entity including its information, tasks, and scorecards - we can use this to check operational readiness/health of an entity.

Args: identifier (str): The unique identifier for the entity (e.g., 'payment-processing').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
identifierYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It describes a read operation ('Get') but lacks details on permissions, rate limits, error handling, or what 'comprehensive details' entails. The mention of checking 'operational readiness/health' adds some context, but behavioral traits like data freshness or access controls are unspecified.

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 appropriately sized and front-loaded: the first sentence states the purpose clearly, followed by usage context and parameter details. It avoids redundancy, though the 'Args' section could be integrated more smoothly. Overall, it's efficient with minimal waste.

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?

Given the tool has an output schema (which handles return values), a single parameter well-explained in the description, and no annotations, the description is reasonably complete. It covers purpose, usage hint, and parameter semantics, though it could improve by addressing behavioral aspects like permissions or data scope more explicitly.

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 description includes an 'Args' section that explains the single parameter: 'identifier (str): The unique identifier for the entity (e.g., 'payment-processing').' This adds meaning beyond the input schema, which has 0% description coverage, by providing an example and clarifying it's a unique identifier. Since there's only one parameter, this compensates well for the low schema coverage.

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 clearly states the tool's purpose: 'Get comprehensive details about a specific entity including its information, tasks, and scorecards.' It specifies the verb ('Get'), resource ('entity'), and scope ('comprehensive details'), though it doesn't explicitly differentiate from siblings like getInitiativeDetails or getTeamDetails beyond the resource type.

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 provides implied usage context: 'we can use this to check operational readiness/health of an entity,' suggesting it's for health assessment. However, it doesn't explicitly state when to use this tool versus alternatives like listEntities for listing or getScorecardInfo for focused details, nor does it mention prerequisites or exclusions.

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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