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kula-ai

@kula-ai/mcp-server

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by kula-ai

list_milestones

Retrieve hiring milestones (pipeline stage groupings) with filtering by creation or update dates and pagination for efficient recruitment stage management.

Instructions

List all hiring milestones (pipeline stage groupings) in the organization.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number
limitNoItems per page
sort_byNoField to sort by (default: created_at)
sort_orderNoSort direction
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)
Behavior2/5

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

No annotations exist, so the description bears full burden. It only states 'list' (implying read-only) but omits behavioral traits like pagination behavior, data freshness, or permission requirements. The schema hints at filtering but description adds no transparency.

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?

Single sentence with no waste. However, for an 8-parameter tool, slightly more structure (e.g., listing defaults) could improve usability without losing conciseness.

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?

Given the 8 parameters and no output schema, the description is too minimal. It does not explain return format, pagination defaults, or sorting behavior. The schema helps but the description should provide higher-level context for effective tool selection.

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% with each parameter described adequately. The tool description adds no additional meaning beyond the schema, so a baseline of 3 is appropriate.

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 the resource (milestones, defined as pipeline stage groupings). This distinguishes it from sibling list tools that target different entities (applications, candidates, jobs, etc.).

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. With many sibling list tools, explicit usage context would be helpful but is absent.

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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