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mnicole-dev

@mnicole-dev/erezo-mcp-server

by mnicole-dev

update_contact

Update an existing contact's details using partial updates: only the fields you provide are changed, leaving the rest intact.

Instructions

Update an existing contact. Only provided fields are modified (partial update).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesUUID of the contact to update
tagsNoJSON array of tags
emailNoEmail address
notesNoFree-text notes
phoneNoPhone number
statusNoContact status
addressNoPostal address
companyNoCompany name
birthdayNoBirthday (YYYY-MM-DD)
lastNameNoLast name
firstNameNoFirst name
interestsNoJSON array of interests
languagesNoJSON array of language codes
nextActionNoNext action to take
professionNoJob title / profession
trustLevelNoTrust level 1-5
websiteUrlNoWebsite URL
meetingDateNoWhen you met (ISO 8601 date-time)
meetingPlaceNoWhere you met this person
nextActionDateNoDeadline for next action (YYYY-MM-DD)
isRecommendableNoWhether this contact can be recommended
potentialRevenueNoPotential revenue in euros
preferredChannelNoPreferred communication channel
opportunityStatusNo1=Opportunity, 2=To explore, 3=Not interesting
recommendationNoteNoNote about recommendation
Behavior3/5

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

With no annotations, the description carries the burden and does disclose a key behavioral trait: 'Only provided fields are modified (partial update).' However, it does not mention return values, error handling, permissions, or consequences of omitted fields, leaving significant behavioral ambiguity.

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 concise sentences with the primary action front-loaded. Every word earns its place; no fluff or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 25 parameters, no output schema, and no annotations, the description is too thin. It fails to explain return values, failure modes, required prerequisites (e.g., the contact must exist), or any side effects. The partial-update note is helpful but leaves major 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 documents all parameters in detail. The description adds a general semantic note about partial updates, which helps interpret all parameters, but it does not add per-parameter meaning beyond the schema.

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 clearly states the tool's function: 'Update an existing contact' with a specific verb and resource. It distinguishes from siblings like create_contact and delete_contact by emphasizing 'existing' and noting the partial update behavior.

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 description implies usage ('Update an existing contact') but does not explicitly state when to use this tool versus alternatives or provide exclusions. It lacks guidance on prerequisites or scenarios where this tool is preferred.

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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