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kula-ai

@kula-ai/mcp-server

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by kula-ai

list_rejection_reasons

Retrieve all configured rejection reasons for your organization, with filtering by date, status, or group.

Instructions

List all rejection reasons configured in the organization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number
limitNoItems per page
sort_byNoField to sort by (default: created_at)
sort_orderNoSort direction (default: desc)
created_afterNoFilter by created date (ISO 8601, inclusive lower bound)
created_beforeNoFilter by created date (ISO 8601, inclusive upper bound)
updated_afterNoFilter by updated date (ISO 8601, inclusive lower bound)
updated_beforeNoFilter by updated date (ISO 8601, inclusive upper bound)
enabledNoFilter by enabled status
groupNoFilter by rejection reason group
Behavior2/5

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

With no annotations, the description bears full burden but only says 'list all rejection reasons'. It does not disclose pagination, sorting, filtering, or any behavioral traits beyond the bare action.

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?

One sentence, no wasted words, front-loaded with the key action and resource. Very concise.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite lacking output schema and having 10 parameters, the description is minimal. It does not explain what rejection reasons are, that results are paginated, or any details about the response.

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

Parameters3/5

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

Schema coverage is 100%; all parameters are described in the schema. The description adds no additional meaning beyond the schema, so baseline of 3.

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 action (list) and resource (rejection reasons) with scope 'in the organization'. It is specific and distinguishable from sibling tools.

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 on when to use this tool versus alternative list tools. Does not provide context 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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