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Portkey MCP by usefulapi

List audit logs

portkey_list_audit_logs
Read-only

List audit log entries (admin actions across the organization). Portkey: GET /audit-logs.

Input Schema

NameRequiredDescriptionDefault
page_sizeNoNumber of records per page. Default 50.
current_pageNoPage number (0-based) for pagination. Default 0.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

B3.2/5.0
Behavior3/5

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

readOnlyHint=true already establishes this is a safe read. The description adds useful scope context (organization-wide admin actions) that the annotation does not convey, but it omits pagination/ordering behavior and any retention or volume characteristics of audit logs.

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 short, front-loaded sentences with no filler. The trailing 'Portkey: GET /audit-logs' is mildly redundant but cheap and provides endpoint traceability.

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?

For a simple read-only paginated list this covers the essentials, but with no output schema the description does not hint at what an audit entry contains (actor, action, timestamp, resource), leaving the agent to discover the shape empirically.

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 100% and both parameters (page_size, current_page) are fully documented in the schema with defaults. The description adds nothing about pagination semantics, so the baseline 3 applies.

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 verb and resource ('List audit log entries') and adds scope clarification ('admin actions across the organization') plus the backend endpoint mapping. This is enough for an agent to identify it as the audit-log listing tool rather than a generic log tool, though it never names which sibling it differs from.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No statement of when to use this versus alternatives, no prerequisites (e.g., admin permissions), and no guidance on pagination strategy. Usage is only loosely implied by the parenthetical scope note.

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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