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Measure.events Analytics

log_checkin

Log agent activity to a site's analytics. Use this to record deployments, content updates, or any agent action on the site.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNoAdditional context
agentNoAgent name
actionYesWhat the agent did (e.g. 'published article')
site_keyYesThe site's tracking ID
timestampNoISO8601 timestamp (defaults to now)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It implies a write operation (logging), but does not disclose potential side effects, prerequisites (e.g., site must exist), rate limits, or return behavior. For a mutation tool, this is a moderate gap.

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?

Two sentences, front-loaded with the main purpose and followed by usage examples. Every word earns its place; no fluff.

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?

The description is adequate for a simple logging tool, but lacks mention of return values (no output schema) and prerequisites like needing a site created via 'create_site'. For a write operation, this is a clear gap.

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 parameters are already well documented. The description adds minimal extra meaning beyond examples of actions, which slightly overlaps with the schema's example 'published article'. Baseline 3 is appropriate.

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 tool logs agent activity to a site's analytics, with examples like deployments and content updates. It uses a specific verb and resource, but does not explicitly differentiate from the sibling tool 'track_event', which may also log actions.

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 says 'Use this to record deployments, content updates, or any agent action on the site,' providing clear use cases. However, it does not mention when not to use it or alternatives, such as preferring 'track_event' for user events.

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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