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kula-ai

@kula-ai/mcp-server

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by kula-ai

list_scorecard_templates

Retrieve a list of scorecard templates configured for your account. Use the template IDs to set scorecards when creating interviews without an interview-plan activity.

Instructions

List scorecard templates configured for the account. Use this to discover scorecard_template_id values to pass to create_interview (only honored when stage_activity_id is NOT set — interview-plan activities own scorecard config).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
limitNo
queryNoFilter by template name (case-insensitive substring)
department_idsNoComma-separated department IDs
office_idsNoComma-separated office IDs
employment_typesNoComma-separated employment types
sort_byNo
sort_orderNo
created_afterNo
created_beforeNo
updated_afterNo
updated_beforeNo
Behavior3/5

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

No annotations are provided, so the description carries full burden. It adds context about the interaction with 'create_interview' but does not disclose the return structure, pagination behavior, or any read-only nature. Adequate but not thorough.

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?

Two sentences, no redundancy. First sentence states core purpose, second adds critical usage context. Every word earns its place.

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?

Given 12 non-required parameters and no output schema, the description could explain response format, pagination, or filtering nuances. It provides the key usage context but is still somewhat minimal for the complexity.

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

Parameters2/5

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

Schema description coverage is only 33%, so the description should compensate, but it adds no parameter-specific guidance. The tool description does not explain the purpose of page, limit, or date filters beyond what the schema minimally provides.

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

Purpose5/5

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

The description clearly states the verb 'List', the resource 'scorecard templates', and the scope 'for the account'. It also distinguishes from siblings like 'get_scorecard_template' by noting the purpose of discovering template IDs for 'create_interview'.

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

Usage Guidelines5/5

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

Explicitly states when to use (to discover template IDs) and when not to (when stage_activity_id is set, as interview-plan activities own scorecard config). This provides clear guidance and an exclusion condition.

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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