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js-cohn
by js-cohn

delete_label

Remove a label from Jelly by providing its label_id to keep your labels organized.

Instructions

Delete a label.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
label_idYes
api_tokenNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

With no annotations, the description alone must disclose behavioral traits such as permanence, side effects, or required permissions. 'Delete a label' reveals nothing about irreversible consequences, whether the label can be deleted if in use, or any other operational behavior. This is a minimal mutation description with zero added transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence with no wasted words, but it is under-specified to the point of unhelpfulness. It lacks necessary context, so the brevity is more a sign of missing information than effective conciseness.

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 tool's simple nature and the presence of an output schema, some return-value information is unnecessary. However, the description fails to provide essential context that would help an agent select and use this tool correctly, such as distinguishing it from remove_conversation_label and explaining the permanence of the action. Overall, the description is incomplete for safe and effective usage.

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%, and the description adds no meaning to the parameters. 'Delete a label' implies the label_id identifies the label, but it does not explain the format, required context, or the purpose of api_token. The description fails to compensate for the lack of schema descriptions.

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 ('Delete') and the resource ('a label'), making the basic purpose obvious. However, it does not differentiate from the sibling tool 'remove_conversation_label', which could also be interpreted as deleting a label from a conversation rather than deleting the label definition itself.

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 like remove_conversation_label. There is no mention of prerequisites, context, or exclusions, leaving the agent to 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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