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Textline MCP by usefulapi

Update contact

textline_update_customer
DestructiveIdempotent

WRITE: update a contact's name, email, notes, tags (add, remove or replace) or custom fields (by custom-field UUID from textline_list_custom_fields). Overwrites the fields you pass; sends nothing to the contact. PUT /api/customer/{uuid}.json.

Input Schema

NameRequiredDescriptionDefault
nameNoFull name.
tagsNoTags, e.g. ['VIP', 'new_lead'] (underscores instead of spaces).
emailNoEmail address.
notesNoNotes on the contact (replaces the existing notes).
custom_fieldsNoCustom field values keyed by custom-field UUID, e.g. {"c43a1766-47e1-4c9c-a2cc-36bf424fcbc0": "Gold"}.
customer_uuidYesContact (customer) UUID.
tags_handlingNoHow to apply tags: add, remove or replace (Textline's default if omitted).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnly=false, destructive=true and idempotent=true, and the description usefully adds two things they don't: that only the fields you pass are overwritten (partial update, not a full replace of the record) and that no notification is sent to the contact. It omits permission/auth requirements and any error behavior, keeping it out of the top band.

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, the mutation mode front-loaded, the destructive/overwrite semantics placed before the endpoint detail. No filler; every clause carries information an agent needs.

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 7-parameter mutation with a nested object and no output schema, the description covers mutation mode, field scope, overwrite behavior, tag-handling modes and the UUID dependency. Return values need not be explained since no output schema exists; only auth/permissions and failure behavior remain unaddressed.

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 documents name, email, notes, tags and custom_fields formats. The description's only real additions are the source of custom-field UUIDs and the add/remove/replace vocabulary for tags, which the schema already enumerates. 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?

Opens with an explicit verb and mode ('WRITE: update a contact') and enumerates exactly which fields can be changed (name, email, notes, tags, custom fields). It also names the sibling tool that supplies custom-field UUIDs, so an agent can distinguish it from read tools like textline_get_customer without opening a schema.

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

Usage Guidelines4/5

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

The 'WRITE:' prefix and the pointer to textline_list_custom_fields make usage context clear: this is the mutation path for an existing contact, and custom-field keys must be sourced from the listing tool first. It stops short of stating exclusions (e.g. use textline_create_customer for new contacts), so it is context without alternatives.

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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