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list_api_keys

Read-onlyIdempotent

List Portkey API keys to audit access scopes, rate limits, defaults, expiration, and creation mode. Supports pagination and workspace filtering.

Instructions

List Portkey API keys for auditing access, scopes, defaults, limits, and expiration. Use this for API keys only; use list_virtual_keys for provider keys. Returns total plus id, type, status, workspace/user scope, limits, defaults, alert emails, and creation mode.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page_sizeNoNumber of results per page (max 100)
current_pageNoPage number for pagination
workspace_idNoFilter by workspace ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
okYesWhether the tool call succeeded and returned structured data
dataNoStructured success payload when ok is true
errorNoStructured error payload when ok is false
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the basic safety is covered. The description adds value by detailing the kind of data returned (scopes, limits, expiration), which helps set expectations beyond the annotations.

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 sentences, front-loaded with purpose, and the second sentence provides differentiation and return summary without any wasted words. Every sentence serves a clear function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of a full output schema and annotations covering safety, the description succinctly covers the tool's purpose, differentiation, and the key aspects of its return data. No gaps remain for a competent agent to use this tool effectively.

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% with all parameters documented. The description does not add new information about the parameters themselves, but it mentions the return data types (e.g., workspace/user scope) that indirectly relate to filtering via workspace_id. This meets the baseline expectation.

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 lists Portkey API keys for auditing, specifying the exact resource and purpose. It also distinguishes itself from the sibling tool list_virtual_keys, which is for provider keys.

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

Usage Guidelines5/5

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

Explicitly states when to use this tool ('for API keys only') and provides a clear alternative ('use list_virtual_keys for provider keys'), giving the agent a direct comparison.

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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