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js-cohn
by js-cohn

remove_conversation_label

Remove a label from a conversation by providing conversation ID and label ID.

Instructions

Remove a label from a conversation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
label_idYes
api_tokenNo
conversation_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations available, the description carries the full burden of disclosing behavior, but it only states the action without explaining consequences. It fails to clarify whether removing a label deletes the label itself or merely detaches it from the conversation, or whether any permissions are required.

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, concise sentence of six words. It is front-loaded with the action and contains no unnecessary information.

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?

Despite being a simple operation, the description lacks essential context: no annotations, no parameter explanations, and no clarification of whether the label is deleted or just unlinked. The presence of an output schema does not compensate for the absence of behavioral and usage context.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must compensate for parameter meaning. It does not mention any parameters, leaving even the purpose of 'api_token' unexplained. The parameter names are somewhat self-explanatory, but the description adds no value to the structured schema.

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 uses a specific verb ('remove'), a resource ('label'), and a target ('conversation'), making it immediately clear what operation is performed. It also distinguishes itself from the sibling tool 'add_conversation_label' which performs the opposite action.

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 guidance is provided regarding when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or how it differs from related tools like 'add_conversation_label' or 'delete_label'.

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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