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Elvanto MCP by usefulapi

Create a person

elvanto_create_person
Destructive

Add a new person to the church database (e.g. a first-time guest). Returns the new person id and family id. Does not create a login. Elvanto: people/create.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNoEmail address.
phoneNoPhone number (non-digits are stripped by Elvanto).
fieldsNoExtra fields to set, e.g. {"gender":"Male","birthday":"1989-04-23","marital_status":"Married","departments":["Music"],"custom_<field id>":"value"}. Use *_replace / *_remove variants (e.g. departments_replace) to replace or remove list values. access_permissions* are refused: this server never changes what a person may administer.
mobileNoMobile number (non-digits are stripped by Elvanto).
contactNoMark the person a contact (yes) or not (no).
archivedNoMark the person archived (yes) or not (no).
lastnameYesLast name.
family_idNoFamily id to join an existing family, or "new" to start a new family.
firstnameYesFirst name.
volunteerNoMark the person a volunteer (yes) or not (no).
category_idNoPeople category id (see elvanto_list_people_categories).
preferred_nameNoPreferred name (nickname).
family_relationshipNoRelationship within the family.

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

A4/5.0
Behavior4/5

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

Annotations only supply destructiveHint=true, which says little about a create operation, so the description carries useful extra weight: it discloses that the call returns a new person id and family id and that no login is created — a non-obvious side effect. It still omits permission requirements, duplicate-person handling, and failure behavior, so it is not fully transparent.

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 short sentences, all front-loaded: purpose, return shape, and a key negative behavior. No filler, no repetition of schema content.

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 13-parameter mutation tool with no output schema, the description covers purpose, return values, and the no-login caveat well, and the schema fully documents parameters. It could still say more about authorization, duplicate detection, and family_id interactions, which are the main residual gaps.

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 the schema already explains all 13 parameters, including the fields object with its *_replace / *_remove variants and the access_permissions refusal. The description adds no parameter-level guidance of its own, so the baseline 3 is appropriate.

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?

States a specific verb+resource ('Add a new person to the church database'), gives a concrete use case (first-time guest), and disambiguates from siblings like elvanto_update_person and elvanto_add_person_to_group. It also names the underlying API endpoint (people/create), which pins the semantics precisely.

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?

The 'first-time guest' example implies a usage context, but there is no explicit when-to-use vs. when-not, and no mention of the natural alternatives (update_person for existing people, add_person_to_group / add_person_to_flow_step for post-creation placement). Preconditions such as required permissions or duplicate handling are left implicit.

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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