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Workforce-Cloud-Tech

Recruit CRM MCP Server

Update Contact

update_contact
Destructive

Update an existing Recruit CRM contact by providing its slug and at least one field to change. Accepts details like email, phone, location, and custom fields.

Instructions

Updates one existing Recruit CRM contact by contact_slug. Requires contact_slug and at least one field to update. Resolve user IDs with list_users, company slugs with search_companies or list_companies, stage IDs with list_contact_stages, and custom field IDs with list_custom_fields for entity_type=contacts. Returns a compact summary with the contact slug.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoCity.
emailNoContact email.
stateNoState.
avatarNoAvatar URL.
addressNoFull street address.
countryNoCountry.
twitterNoTwitter/X profile URL.
facebookNoFacebook profile URL.
linkedinNoLinkedIn profile URL.
localityNoLocality.
owner_idNoContact owner user ID.
stage_idNoContact stage ID.
last_nameNoContact last name.
created_byNoCreating user ID.
first_nameNoContact first name.
updated_byNoUpdating user ID.
designationNoDesignation (title).
postal_codeNoPostal code.
company_slugNoComma-separated company slugs.
contact_slugYesSlug of the contact to update.
custom_fieldsNoContact custom field values.
contact_numberNoContact phone number.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
ownerYes
actionYes
view_urlYes
last_nameYes
contact_idYes
created_onYes
first_nameYes
updated_onYes
designationYes
company_slugYes
contact_slugYes
Behavior3/5

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

The annotations already mark the tool as destructive (destructiveHint=true), so the description does not need to restate that. It adds a useful note about the return value ('compact summary with the contact slug') and the 'at least one field' requirement, but does not elaborate on side effects, overwrite semantics, or error cases, which is acceptable given the annotations.

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 focused sentences: the first states the core action, the second gives the required-parameter rule and resolution sources, and the third describes the return value. Every sentence adds value, and the most important information is front-loaded.

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?

Given 22 parameters, an output schema, and annotations, the description covers the essential usage constraints and foreign-key resolution strategies. It does not enumerate all possible fields, but the schema already does that. The only minor gap is not mentioning what happens if no update field is provided beyond the requirement itself, but that is adequately communicated.

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 all 22 parameters (100% coverage), so the baseline is 3. The description adds meaningful semantics by clarifying that at least one update field is required and by explaining how to resolve foreign keys (user IDs via list_users, company slugs via search_companies/list_companies, stage IDs via list_contact_stages, custom field IDs via list_custom_fields). This goes beyond the schema's per-field descriptions.

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 opens with a specific verb ('Updates') and precisely identifies the resource ('one existing Recruit CRM contact') and the addressing mechanism ('by contact_slug'). This clearly distinguishes it from sibling tools like create_contact, list_contacts, search_contacts, and get_contact_details.

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 description clearly states the required inputs ('Requires contact_slug and at least one field to update') and provides explicit pointers to related tools for resolving user IDs, company slugs, stage IDs, and custom field IDs. It does not explicitly state when not to use this tool, but the context is clear enough.

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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