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scalix_events_publish

Publish an event to a topic. Provide an event_type (a short name for the kind of event, e.g. 'user.created') and the data payload.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesEvent payload (JSON)
topic_idYesTopic ID to publish to
event_typeYesEvent type/name, e.g. 'user.created'

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / event_type
      Added value: +{
      +  "description": "Event type/name, e.g. 'user.created'",
      +  "type": "string"
      +}
    • changedInput schema / required
      Previous value: -[
      -  "topic_id",
      -  "data"
      -]New value: +[
      +  "topic_id",
      +  "event_type",
      +  "data"
      +]
  2. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations indicate readOnlyHint=false and destructiveHint=false, so the description does not need to restate that this is a mutating but non-destructive operation. However, the description adds little beyond the schema: it gives an example event_type format ('user.created'), but does not describe potential side effects, error conditions, or delivery semantics. It meets the baseline but does not enrich behavioral understanding significantly.

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 long and directly states the purpose and provides a relevant example. Every word earns its place; there is no fluff or unnecessary repetition.

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?

For a simple publish tool with three fully described parameters and no output schema, the description plus schema covers the necessary input context. It could mention whether a confirmation or response is returned, but that is not required given the absence of an output schema. The description is sufficient for an agent to invoke the tool correctly in most scenarios.

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%, and each parameter already has a description (e.g., 'Topic ID to publish to', 'Event type/name, e.g. user.created'). The description reiterates the event_type example but adds no new semantic meaning beyond the schema. Therefore, a baseline of 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 tool's action: 'Publish an event to a topic.' This uses a specific verb and resource, and is distinguishable from sibling tools like scalix_events_topics (which likely lists topics) by its focus on publishing. It also specifies the required inputs (event_type and data payload).

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 explains what the tool does but provides no explicit guidance on when to use it vs. alternatives, nor any exclusions or prerequisites. The usage context is implied by the tool's nature (publishing events) but not spelled out. Sibling tools like scalix_events_topics suggest related functionality, but no comparison is made.

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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