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Update a contact

update_contact
Destructive

MUTATES Quaderno data — update an existing contact. Only the fields you pass are changed; use fields for any attribute not typed here. Quaderno API: PUT /contacts/{id}. Returns the updated contact.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesThe resource id.
emailNoContact email address.
fieldsNoAdditional raw Quaderno fields merged into the request body (escape hatch for any field not typed above).
tax_idNoTax ID / VAT number.
countryNo2-letter ISO country code.
last_nameNoPerson last name.
first_nameNoPerson first name / company name.
contact_nameNoContact person at a company.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

The description explicitly says 'MUTATES,' which aligns with the destructiveHint annotation. It adds valuable behavior beyond the annotation: only passed fields are changed (partial update semantics), the fields parameter acts as a merge/escape hatch, and the API endpoint is PUT /contacts/{id}, and it returns the updated contact. This is strong behavioral context for a mutating tool.

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 tight sentences, front-loaded with the mutating intent and primary operation. Every sentence earns its place: purpose, partial-update semantics, escape-hatch guidance, API mapping, and return value. No filler.

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 mutation tool with no output schema, the description covers the key missing pieces: endpoint, partial update behavior, the generic fields escape hatch, and the return value. It does not detail authorization or error cases, but these are not strongly required given the annotations and simple schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema covers 100% of parameters, so the baseline is 3. The description adds meaning beyond the schema by clarifying that only provided fields are changed and that 'fields' is the escape hatch for any untyped attribute. This helps an agent understand the update merge behavior and when to use the fields object.

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 states a specific verb ('update'), a clear resource ('an existing contact'), and the exact API operation (PUT /contacts/{id}). This unambiguously differentiates it from siblings like create_contact, get_contact, and list_contacts.

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 phrase 'update an existing contact' clearly implies this is for modifying already-created contacts rather than creating new ones. It does not explicitly name create_contact as the alternative, but the context is clear enough for an agent to select this tool correctly.

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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TDQS

A3.8/5.0
Disambiguation3/5

Most tools target distinct resources and actions, but create_invoice and create_transaction both generate tax-compliant sale documents, making their boundary unclear. calculate_tax also overlaps conceptually with the tax calculation embedded in create_transaction, though the descriptions help separate the read-only case.

Naming Consistency4/5

The set follows a consistent verb_noun pattern across get_, list_, create_, and update_ tools, with clear singular/plural usage. calculate_tax and ping fit the style, but quaderno_request is a generic escape hatch that breaks the predictable naming convention.

Tool Count3/5

At 23 tools, the server is on the heavy side and falls in the 16-25 range that feels less scoped than ideal. However, the count is somewhat justified by the many distinct entity types covered, including contacts, invoices, items, credit notes, expenses, receipts, jurisdictions, and webhooks.

Completeness3/5

Core workflows like calculating tax, creating invoices/transactions, and managing contacts/items are covered, and every exposed resource has get/list access. Missing update/delete operations for most resources, read-only webhooks, and no direct creation paths for expenses/receipts/credit notes leave notable lifecycle gaps.