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Geocode AI

List audit log

list_audit_log
Read-onlyIdempotent

The organization's audit log, newest first: who (a person, an API key, an OAuth client or the system) changed membership, roles, teams, invites, API keys, billing or file sharing, and when. Admins and owners only. Free. Needs an API key or a connected account.

Input Schema

NameRequiredDescriptionDefault
limitNoPage size, at most 100.
actionNoOnly this action, e.g. member.remove or api_key.create.
offsetNo

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 the safety profile is covered. The description adds ordering ('newest first'), the permission gate, and auth requirements — useful context beyond the annotations. It says nothing about pagination behavior or result volume, which is a notable gap for a logged, potentially large dataset.

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

Conciseness4/5

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

Two tight sentences: the resource and its contents come first, then the access constraints. Every clause carries information — the actor types, the change categories, ordering, permission level, cost, and auth. Minor density without wasted words.

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 read-only, three-parameter list tool with no output schema, the description covers scope, ordering, permissions, cost, and auth — enough to call it correctly. The remaining gap is pagination semantics for offset/limit, which matters somewhat for a log-shaped resource but is partially handled by 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 67%: limit and action are documented in the schema, while offset has no description anywhere. The description adds no parameter-level meaning — no guidance on action naming beyond what the schema's example already gives, and no clarification of how offset interacts with the 'newest first' ordering. Baseline 3 is appropriate given partial 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 names the specific resource (the organization's audit log) and enumerates the event categories it covers — membership, roles, teams, invites, API keys, billing, file sharing — plus who performed them. That is concrete enough to distinguish it from siblings like list_members or list_api_keys. It stops short of explicitly naming a non-overlapping sibling, so it lands at 4 rather than 5.

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?

It gives real access guidance: admins and owners only, no cost, requires an API key or connected account. What it omits is when to reach for this versus adjacent tools (e.g. list_members for current state versus this for historical change), so usage is implied rather than directed.

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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