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drtagkim

KHU Notebook Research Assistant

by drtagkim

add_source_content

Add text, URLs, or PDFs to a notebook for academic research and knowledge management with the KHU Notebook Research Assistant.

Instructions

Add a specific source (text, url, pdf) to the notebook.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebook_idYes
categoryYes
payloadYesContent or URL
titleNo
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool adds content but doesn't describe what happens during addition (e.g., whether it validates URLs, processes PDFs, requires authentication, has rate limits, or returns confirmation). This leaves significant gaps for a mutation tool with no output schema.

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?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, with every word contributing to understanding the core functionality.

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 complexity (a mutation tool with 4 parameters, no annotations, and no output schema), the description is incomplete. It doesn't address behavioral aspects like error handling, response format, or integration with sibling tools. The agent lacks sufficient context to use this tool effectively beyond basic parameter passing.

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 low (25%), with only the 'payload' parameter having a description. The tool description adds minimal value by mentioning source types (text, url, pdf), which aligns with the 'category' enum, but doesn't explain parameter meanings beyond this. It doesn't clarify what 'notebook_id' refers to or how 'title' is used, leaving most parameters inadequately documented.

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 ('Add') and resource ('specific source to the notebook'), specifying the types of sources (text, url, pdf). It distinguishes from sibling tools like research_notebook_create (which creates notebooks) and research_notebook_list (which lists notebooks), but doesn't explicitly differentiate from other content-related tools like generate_study_material.

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. It doesn't mention prerequisites (e.g., needing an existing notebook), exclusions, or how it relates to sibling tools like generate_study_material or research_deep_search. The agent must infer usage from the tool name alone.

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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