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Manage business labels

manage_labels
Destructive

Manage WhatsApp Business labels. Requires a WhatsApp Business account.

Actions: add - Add a label to a conversation (requires label_name/label_id + conversation_id) remove - Remove a label from a conversation (requires label_name/label_id + conversation_id) create - Create a new label (requires label_name) delete - Delete a label (requires label_name or label_id)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesLabel action to perform
label_idNoLabel ID (alternative to label_name for add/remove/delete)
label_nameNoLabel name (for add/remove/create/delete)
conversation_idNoConversation ID or array of IDs (required for add/remove)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoThe JSON-compatible result returned by the Kaption extension

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, idempotentHint=false and openWorldHint=true, so the safety profile is covered. The description adds the genuine prerequisite that a WhatsApp Business account is required, but does not explain what delete/remove actually destroy or whether they are reversible, leaving the mutation semantics largely to the annotations.

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?

Front-loads the purpose and prerequisite, then presents a scannable action list where every line carries actionable information. No redundant or filler sentences.

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?

An output schema exists, so return values need not be described, and the description covers the account prerequisite and per-action requirements. It is nearly complete, though it omits any note on destructive-action confirmation or error behavior that would round it out.

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

Parameters4/5

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

Schema description coverage is 100%, so the baseline is 3, but the description adds value by mapping required parameters to specific actions (e.g. create needs only label_name, add/remove need conversation_id), a cross-parameter constraint the flat schema does not express. It does not clarify label_id vs label_name precedence beyond the schema's own note.

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?

States a specific verb and resource ("Manage WhatsApp Business labels") and enumerates the four concrete actions with their effects, so an agent immediately understands scope. It does not name or contrast with siblings like manage_notes or manage_lists, so it falls short of the 5 bar for explicit sibling differentiation.

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?

Each action is annotated with the parameters it requires (add/remove need label_name/label_id + conversation_id; create needs label_name), which effectively tells the agent when to pick each action. There is no guidance on when not to use the tool or what alternative to prefer, so it stops short of 5.

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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