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SaaS Pro Max

List events

list_events
Read-onlyIdempotent

The raw event feed, newest first, optionally filtered by event name, person, session, or a substring matched across name, path, url, distinct id and properties. This is the tool that answers 'did my integration actually send anything'.

Input Schema

NameRequiredDescriptionDefault
appYesApplication id, or orgSlug/appSlug as returned by list_apps
nameNo
limitNo
cursorNonextCursor from a previous call
searchNo
eventIdNoExact event id, to resolve one event; send it on its own
personIdNo
sessionIdNo
environmentNoEnvironment slug: production, staging or development. Defaults to production.

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?

Annotations already declare readOnly, idempotent, non-destructive, open-world, so the safety profile is covered. The description adds genuine behavioral value with the newest-first ordering and the note that search matches across name, path, url, distinct id and properties. It says nothing about pagination, result volume, or what the feed entries look like.

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 dense sentences with zero filler; the ordering and filter surface come first and the use-case framing closes it. Nothing is repeated from the title or the schema.

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?

With no output schema and nine parameters, the description should say something about pagination via limit/cursor and roughly what an event record contains. It covers filtering well but leaves the agent guessing about result shape and page-walking, which matters for a raw feed tool.

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 only 44% across 9 parameters, so the description has to carry weight and does explain name, person, session and the cross-field search semantics. It leaves limit, cursor, eventId and environment entirely to the schema, and does not say how the filters combine or which take precedence.

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?

States a specific resource ('the raw event feed'), its ordering ('newest first'), and its filtering surface, which lets an agent separate it from the aggregate-style siblings like list_event_names. It never names a sibling tool explicitly, so the differentiation is implied rather than stated.

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 line 'the tool that answers did my integration actually send anything' gives a concrete diagnostic scenario for choosing this tool. There is no when-not guidance or explicit pointer to alternatives such as list_event_names or get_person, so an agent still has to infer the boundaries.

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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