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List audit logs

list_audit_logs
Read-onlyIdempotent

Who changed what on the account (keys, team, webhooks, spend limit, numbers, consent, settings), newest first.

Input Schema

NameRequiredDescriptionDefault
actorNoActor id (exact) or part of the actor email (case-insensitive)
limitNo
actionNoOne action, or a group prefix with a trailing dot (team., api_key.)
cursorNo
target_typeNoTarget type, e.g. api_key, member, invite, webhook, number, phone
created_afterNoEntries at or after this time (ISO 8601)
created_beforeNoEntries at or before this time (ISO 8601); a bare date means the end of that day (UTC)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so safety is covered. The description adds one genuinely useful behavioral fact — default sort is newest first — but says nothing about pagination via cursor, retention window, or the size of the result set.

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?

One sentence, zero filler, and the highest-value information (what activity is recorded and in what order) is front-loaded. Nothing here could be cut without losing signal.

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 7 all-optional filter params, no output schema, and a cursor-based paging model, the description should at least indicate that results are paginated and that unfiltered calls return the whole account history. It covers subject matter well but leaves the invocation mechanics to the schema.

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 71%: actor, action, target_type and the date bounds are documented inline, but limit and cursor have no description at all. The description does not compensate for those gaps or explain the action-prefix grouping syntax, so it adds only the ordering hint beyond the schema.

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 names a specific resource (account audit trail) and enumerates exactly what it covers — keys, team, webhooks, spend limit, numbers, consent, settings — plus ordering (newest first). That separates it from generic siblings like list_events, though it never names an alternative explicitly.

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?

Usage is only implied: an agent can infer this is the tool for security/change-history questions because of the 'who changed what' framing and the resource list. There is no statement of when not to use it, and no pointer to related tools such as list_events or list_webhook_deliveries.

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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