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SplitHub

Official

splithub_alerts

Create and manage alert rules for experiments and analytics: list, add, enable, disable, delete, or dry-run tests for SRM, winners, traffic changes, quotas, and event counts.

Instructions

Alert rules (SplitHub Cloud; they fire on Pro, a rule added on another plan is saved switched off). action list (default): rules with condition, params (params.progress { total, fired, month? } on usage and event_count is read-only), enabled; channels; history (recent alerts). add: condition + params. Experiment conditions (experiment = one key, omit for every running one): srm (broken split), winner (minVisitors?), loser (lift %, minVisitors?), exposures (visitors), conversions (conversions), duration (days), no_events (hours). Account: quota (percent of the monthly allowance), usage (every: alert each time this month's billed events cross another multiple, e.g. 1000). Analytics (property required): traffic_drop / traffic_spike (percent vs the same 24 hours a week before), goal_silent (goal, hours), event_count (event, any event when omitted; count; repeat = every count instead of once). Experiment rules may also pause, finish or dropLoser (winner / loser). enable, disable, delete, test (dry run: what would fire now, nothing sent): rule = id, the start of it, or the name. Where alerts go (email, Slack, Discord, webhook) is set in the dashboard.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo
goalNo
liftNo
nameNo
ruleNorule id, id prefix or name (enable, disable, delete, test)
countNo
eventNo
everyNo
hoursNo
pauseNo
actionNo
finishNo
repeatNo
enabledNoadd: false saves it switched off
percentNo
propertyNo
visitorsNo
conditionNo
dropLoserNo
experimentNo
conversionsNo
minVisitorsNo
cooldownHoursNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
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 behavioral burden. It discloses some traits (rules fire on Pro, rules added on other plans are saved off, test is a dry run, where alerts go is set in the dashboard), but it omits critical details like required permissions, side effects of delete, rate limits, and what the response looks like. This is a significant gap for a 23-parameter mutation tool.

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

Conciseness2/5

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

The description is a single dense paragraph with semicolons and parentheticals, lacking front-loading or logical grouping. Information is packed but not organized, making it hard to parse quickly. It is not concise; many clauses could be clarified or split into structured sections.

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 the tool's complexity (23 parameters, no annotations, no output schema), the description should be more complete. It covers many aspects but misses key details like return values, pagination for list, and the full parameter space. The lack of an output schema means the description should explain what list returns, which it doesn't.

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 only 9%, so the description must compensate. It attempts to explain many parameters (e.g., condition types, params.progress behavior, action-specific fields like rule), but the explanations are terse, cryptic, and incomplete—cooldownHours and other parameters are not mentioned. It adds some value but falls short of full compensation for the low schema coverage.

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 it manages alert rules and enumerates the actions (list, add, enable, disable, delete, test), making the tool's purpose specific. It doesn't explicitly differentiate from siblings, but no other alert-related tools exist among the siblings, so 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 through the action list and some context (e.g., rules fire on Pro, test is dry run), but it never explicitly states when to use this tool versus alternatives or what the alternatives would be. Since there are no overlapping siblings, the guidance is adequate but not explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.