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ssolanky

cxone-wfm-intraday-mcp

by ssolanky

resolve_intraday_entity

Maps a user-friendly queue name to its official canonical ID for intraday workforce management workflows.

Instructions

Resolve a user-friendly name (e.g. 'billing', 'GE') to a canonical queue.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
Behavior2/5

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

No annotations are provided, so the description carries full responsibility. It does not mention any behavioral traits such as side effects, permissions needed, error handling, or what happens if the name cannot be resolved.

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

Conciseness5/5

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

The description is a single concise sentence with no wasted words. It front-loads the action and includes helpful examples.

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 simple one-parameter tool with no output schema, the description covers the basic purpose. However, it lacks details on possible name formats, error cases, or what a 'canonical queue' represents, leaving some ambiguity for the agent.

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?

Although schema coverage is 0%, the description adds significant meaning to the 'name' parameter by explaining it is a 'user-friendly name' and the tool resolves it to a 'canonical queue'. This clarifies the parameter's purpose beyond the bare schema.

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 verb 'resolve' and the resource: converting a 'user-friendly name' to a 'canonical queue'. The examples ('billing', 'GE') aid understanding. However, it does not differentiate from sibling tools, though siblings appear to serve different purposes.

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?

No guidance is provided on when to use this tool versus alternatives. Sibling tools are listed but no context is given about their use cases or when to prefer one over another.

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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