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kula-ai

@kula-ai/mcp-server

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by kula-ai

list_application_notes

Retrieve notes associated with a specific job application, with options for pagination, sorting, and filtering by date ranges.

Instructions

List notes on a specific application.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
application_idYesApplication ID
pageNoPage number
limitNoItems per page
sort_byNoField to sort by (default: created_at)
sort_orderNoSort direction (default: desc)
created_afterNoISO 8601 datetime lower bound on created_at
created_beforeNoISO 8601 datetime upper bound on created_at
updated_afterNoISO 8601 datetime lower bound on updated_at
updated_beforeNoISO 8601 datetime upper bound on updated_at
Behavior2/5

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

With no annotations, the description should disclose behavioral traits. It only states 'List notes' which implies read-only, but it does not mention pagination, sorting, filtering, or potential performance implications. The schema includes many parameters for filtering and ordering, but the description is silent on how they affect behavior.

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

Conciseness3/5

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

The description is a single sentence, which is concise but under-specified. It efficiently states the basic purpose but lacks important details for a tool with many parameters. It is not verbose but also not optimally informative.

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 tool has 9 parameters and no output schema, the description is incomplete. It does not explain the return format, default values, or how parameter combinations work. The context signals indicate high complexity, yet the description provides minimal context.

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 description coverage is 100%, so the baseline is 3. The description adds no additional semantic meaning beyond the schema fields. It does not explain how the parameters interact or provide examples.

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 action (List) and resource (notes on a specific application). It is specific enough to distinguish from tools like create_application_note or update_application_note, but does not differentiate from potential sibling tool get_application which might also include notes.

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 usage guidance is provided. There is no indication of when to use this tool versus alternatives like create_application_note or get_application. The context signals show many sibling tools, but the description does not help an agent decide between them.

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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