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Persona MCP by usefulapi

List inquiries

persona_list_inquiries
Read-only

List identity-verification inquiries (an end-user's KYC verification session). Optionally filter by status, account_id, reference_id, inquiry_template_id, and a created-at date range, and paginate via the JSON:API links.next cursor (page_after) / links.prev (page_before). Returns JSON:API { data:[...], links } — objects contain PII. Persona REST: GET /inquiries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNoFilter by inquiry status (e.g. created, pending, completed, failed, expired, approved, declined).
page_sizeNoPage size — number of records per page.
account_idNoFilter by the associated account id.
page_afterNoPagination cursor: return the page AFTER this record id (follow the links.next cursor).
page_beforeNoPagination cursor: return the page BEFORE this record id (follow the links.prev cursor).
reference_idNoFilter by your own reference-id set on the inquiry.
created_at_endNoFilter: inquiries created at/before this ISO 8601 timestamp.
created_at_startNoFilter: inquiries created at/after this ISO 8601 timestamp.
inquiry_template_idNoFilter by the inquiry template id (e.g. itmpl_...).

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

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds genuinely useful behavioral context beyond that: the JSON:API return envelope ({ data:[...], links }), the fact that returned objects contain PII, and the mapping of page_after/page_before to links.next/links.prev. It does not mention rate limits or default page size, keeping it short of a 5.

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?

Three tightly packed sentences ordered purpose → filters/pagination → return shape and endpoint. Nothing is redundant with the schema and nothing is wasted; the most decision-relevant facts come first.

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?

With no output schema, the description correctly takes on the burden of describing the return envelope and the PII sensitivity, and it covers filtering and cursor pagination for all 9 optional parameters. An agent has everything needed to construct a correct 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 description coverage is 100%, so every parameter is already documented in the schema — the baseline is 3. The description enumerates the same filter set and adds a modest framing (cursor follows links.next/links.prev), but contributes no syntax, format, or semantics beyond what the schema states.

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 gives a specific verb+resource ('List identity-verification inquiries') and then defines the domain object in plain terms ('an end-user's KYC verification session'), which no sibling name conveys. It also anchors to the underlying REST operation (GET /inquiries), letting an agent distinguish it from persona_get_inquiry and the other list_* siblings.

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 names the optional filter dimensions and the pagination mechanism, which implies the intended usage pattern, but never states when to choose this tool over alternatives (e.g., persona_list_events or persona_get_inquiry) or any exclusions. Usage is inferred from the filter list rather than stated.

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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