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mindfullabai

Tracking MCP

by mindfullabai

track_event

Insert or update tracking events for any entity type (e.g., weight, books) with schema-free JSON data and optional unique entity ID.

Instructions

Insert or update tracking event for any entity type

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesEntity-specific data (schema-free JSON)
dateYesEvent date in YYYY-MM-DD format
entity_idNoOptional: unique ID for entity instance (e.g., 'book_atomic_habits')
entity_typeYesEntity type (e.g., 'weight', 'scorecard', 'fitness', 'book', or custom)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states 'insert or update', suggesting upsert behavior, but fails to explain details like idempotency, concurrency, or side effects. The optional entity_id implies update logic, but this is not clarified.

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

Conciseness3/5

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

The description is very concise (one sentence). However, it lacks structure and could benefit from a second sentence clarifying when to use or behavioral notes. It is not verbose but under-specified for the tool's complexity.

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 4 parameters, no output schema, and no annotations, the description is incomplete. It omits explanation of upsert behavior, entity_id's role, and the 'data' object's expectations. Sibling tools exist but are not differentiated.

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 description coverage is 100%, so the schema already documents each parameter. The description adds no additional meaning beyond 'insert or update for any entity type', which is already implied by the name. Baseline 3 is appropriate.

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 verb (insert/update) and resource (tracking event) and specifies 'for any entity type', which distinguishes it from sibling tools like delete_event and list_entity_types. 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 Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for recording tracking events but provides no guidance on when to use this tool versus alternatives. There are no exclusions or conditions provided.

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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