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Portkey MCP by usefulapi

List user invites

portkey_list_user_invites
Read-only

List pending user invitations to the organization. Portkey: GET /user-invites.

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

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the safe-read profile is covered. The description adds only the scoping constraint that results are pending invites; it says nothing about ordering, pagination behavior beyond the schema defaults, or rate limits.

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 sentences, front-loaded with the action and scope. The 'Portkey: GET /user-invites' fragment is partly redundant with the tool name but is compact and adds API-mapping context.

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 zero-required-parameter read-only list tool, annotations supply the safety profile and the schema supplies pagination, so little else is needed. The absence of an output schema means return fields are undocumented, but this is a minor gap for a simple listing call.

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%, so page_size and current_page (with defaults) are already fully documented in the schema. The description adds no parameter-level meaning beyond that, so the baseline of 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?

Names a specific verb and resource ('List pending user invitations') with the endpoint mapping (GET /user-invites). The 'pending' qualifier separates it from sibling listing tools like list_users or list_workspace_members, though no sibling is named 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 by the scope: an agent can infer this is the tool for reviewing outstanding invitations. There is no statement of when to prefer it over alternatives, no prerequisites, and no exclusions.

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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