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kagan-sh

Kagan - AI Orchestration Layer

insight_remove

Remove an insight from a task by matching its content text with case-insensitive exact match. Returns removed=True if found and deleted.

Instructions

Remove an insight from a task by matching its content text.

Performs a case-insensitive exact content match. Returns removed=True if a matching insight was found and deleted, removed=False otherwise.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYes
contentYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations, the description discloses key behaviors: case-insensitive exact match, return flag (removed=True/False). However, it does not address edge cases like multiple matches or permissions.

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 concise sentences, front-loaded with the core purpose, then specific details. No wasted words.

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

Completeness4/5

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

For a simple two-parameter tool with an output schema, the description covers the essential behavior and return value. Minor gaps (e.g., handling multiple matches) exist but are not critical.

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

Parameters5/5

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

Given 0% schema description coverage, the description effectively explains the content parameter (case-insensitive match) and implies task_id's role, adding meaning beyond the schema names.

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: remove an insight from a task by matching its content text. It specifies exact case-insensitive matching, distinguishing it from sibling tools like insight_add and insight_list.

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

Usage Guidelines4/5

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

The description explains when to use the tool (to remove an insight via content) but does not explicitly mention when not to use it or provide alternatives.

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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