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kaiten_update_sla_rule

Update an existing SLA policy rule by adjusting target time, business calendar, start/finish columns, and notification settings.

Instructions

Update a rule within an SLA policy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoRule type
sla_idYesSLA ID (UUID)
rule_idYesRule ID
calendar_idNoCalendar ID for business hours
estimated_timeNoTarget time in seconds
start_column_uidNoColumn UID where measurement starts
finish_column_uidNoColumn UID where measurement ends
notification_settingsNoNotification configuration for the rule
Install Server

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description must carry the behavioral disclosure burden. It only says 'Update' without explaining whether it is a partial or full replacement, whether it is idempotent, what side effects occur, or what permissions are required. This is a significant gap for a mutation tool.

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?

The description is a single efficient sentence with no redundant wording or filler. It is front-loaded and easy to parse, though it is so brief that it lacks some useful context.

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 that this is a mutation tool with 8 parameters, no annotations, and no output schema, the one-line description is insufficient. It does not explain update semantics, required versus optional field behavior, or the relationship between sla_id and rule_id beyond the schema. An agent would be guessing about common usage details.

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 schema already documents all 8 parameters. The description adds no additional parameter-level meaning, but it does not need to since the schema handles this adequately.

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 states a clear verb ('Update') and resource ('a rule within an SLA policy'), so an agent can tell this modifies an existing SLA rule rather than creating or deleting one. It does not explicitly differentiate from siblings like kaiten_create_sla_rule or kaiten_delete_sla_rule, but the operation is clear enough from the wording.

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?

The description provides no guidance on when to use this tool versus alternatives, nor does it mention prerequisites like the SLA policy already existing or permissions needed. Usage is only implied by the word 'Update' and the tool name, not explicitly stated.

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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