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ignytehq

plunk-mcp

Official
by ignytehq

plunk_track_event

Track an event for a contact, creating the contact if needed, to drive automation workflows and audience segments.

Instructions

Track an event for a contact (creates the contact if missing). Used to drive workflows and segment filters. Requires PLUNK_PUBLIC_KEY (pk_*) to be set — /v1/track is gated by the public key, not the secret key.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoEvent/contact data. Use {value, persistent: false} to scope to workflows only.
emailYesContact email. Contact is auto-created if missing.
eventYesEvent name, e.g. 'user-signup'
subscribedNoSubscription state to apply. Omit to preserve the contact's current state (new contacts default to subscribed). Pass false to track an event without resubscribing an unsubscribed contact.
Behavior4/5

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

With no annotations present, the description carries the full burden. It discloses that contacts are auto-created if missing and explains that the endpoint is gated by the public key, not the secret key. This is valuable beyond the schema, though it doesn't mention response behavior or idempotency.

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 two sentences, front-loaded with the action and key side effect. It then adds the purpose and the authentication nuance. Every sentence earns its place with no redundancy.

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?

Given no annotations and no output schema, the description provides key contextual details: purpose, auto-creation, and the public key requirement. It could optionally mention response or error behavior, but it is sufficiently complete for an agent to choose and invoke this tool.

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?

The input schema has 100% description coverage for all parameters. The tool description adds no additional parameter semantics beyond what the schema already provides, so the baseline score of 3 applies.

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 opens with a specific verb and resource: 'Track an event for a contact (creates the contact if missing).' This clearly distinguishes it from sibling tools like send_transactional or verify_email. The purpose is unambiguous.

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?

It states the tool is used to drive workflows and segment filters, and it explains the authentication requirement (public key vs. secret key). This provides clear context, though it doesn't explicitly name alternatives or when not to use the tool.

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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