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segment_track_event

Record custom user actions like 'Signed Up' or 'Item Purchased' by sending event data to Segment. Use this tool to track user behavior with event name, user ID, and optional properties.

Instructions

Track a custom event in Segment. Use for recording user actions like 'Signed Up', 'Item Purchased', etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
write_keyYesSegment source write key
eventYesEvent name (e.g. 'Item Purchased')
user_idNoUnique user identifier
anonymous_idNoAnonymous ID if user is not logged in
propertiesNoEvent properties as key-value pairs
timestampNoISO 8601 timestamp (defaults to now)
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits beyond the basic action. It lacks information about rate limits, authentication requirements (beyond write_key), error handling, or whether tracking is synchronous or asynchronous. For a tool with no annotations, this is insufficient.

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 with no unnecessary words. It is front-loaded and efficiently communicates the tool's purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a straightforward event tracking tool with no output schema, the description is minimally complete. It explains the core action but omits context about property usage, event naming conventions, or how it compares to similar tools. Given the presence of mixpanel_track_event among siblings, more context would help agents choose correctly.

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?

Schema coverage is 100% with descriptions for all parameters. The description adds an example for the event parameter but does not significantly augment the schema. Baseline of 3 is appropriate as schema already does the heavy lifting.

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 tool tracks a custom event in Segment, with specific examples like 'Signed Up' and 'Item Purchased'. It effectively distinguishes from sibling tools like segment_identify_user, which serves a different purpose.

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?

The description gives clear usage examples ('recording user actions') but does not explicitly state when not to use this tool or compare it to alternatives like mixpanel_track_event. The guidance is adequate but could be more precise.

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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