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mickaelxd
by mickaelxd

add_file_to_knowledgebase

Upload a transcription file to a knowledge base, enabling AI-driven queries and retrieval on the transcribed content.

Instructions

Add a Transkriptor transcription file to an AI Chat knowledgebase.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
order_idYes
knowledge_base_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It only states the basic action without explaining side effects (e.g., whether it replaces existing files, whether it requires specific permissions, or what happens if arguments are invalid). The behavior around duplicate files or error conditions is completely opaque.

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, concise sentence that immediately conveys the core functionality. It is front-loaded and contains no extraneous words. However, it sacrifices completeness for brevity, missing critical details that could be added without much length.

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?

With 2 required parameters, no annotations, and an output schema not detailed, the description is insufficient. It does not explain prerequisites (e.g., file must exist, KB must exist), error handling, or what the output represents. The tool is a mutation with no behavioral context, leaving the agent underinformed.

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

Parameters2/5

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

Schema description coverage is 0%, so the description should compensate by explaining parameters. However, it gives no details about 'order_id' or 'knowledge_base_id'. While the parameter names are somewhat self-explanatory ('order_id' likely refers to a transcription order, 'knowledge_base_id' to the KB), no additional semantics are provided to confirm valid values or formatting.

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 ('Add') and the resource ('Transkriptor transcription file to an AI Chat knowledgebase'), specifying the verb and resource distinctly. It differentiates from sibling tools like create_knowledgebase (which creates a KB) and chat_with_knowledgebase (which chats), making the tool's purpose unambiguous.

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 does not mention prerequisites (e.g., the file must already be transcribed via transcribe_local_file, or the knowledgebase must exist via create_knowledgebase), nor does it indicate when not to use it or what conditions trigger its use.

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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