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neon-crm

Update an account

neon_update_account
Destructive

Change an account's name, email, job title, company name or do-not-solicit / email opt-out flags. Only the fields you pass are changed (PATCH). The type must match the account (see neon_get_account). Addresses are not edited here. Neon: PATCH /accounts/{id}.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesThe account's type (individualAccount vs companyAccount).
emailNoPrimary email (primaryContact.email1).
email2NoSecondary email (primaryContact.email2).
job_titleNoJob title (primaryContact.title).
last_nameNoLast name.
account_idYesThe account id.
first_nameNoFirst name (primaryContact.firstName).
middle_nameNoMiddle name.
company_nameNoNew company name (COMPANY accounts only).
email_opt_outNoOpt the primary email out of email (email1OptOut).
preferred_nameNoPreferred name.
no_solicitationNoDo-not-solicit flag.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With only destructiveHint=true available, the description carries meaningful extra context: PATCH/partial-update behavior, the type-must-match constraint that will cause a failure if violated, and the exclusion of addresses. It doesn't cover permissions, error behavior, or which values are irreversible, so it isn't exhaustive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Four short sentences, all front-loaded and information-dense: field list first, then update semantics, then the constraint, then the exclusion and API endpoint. Nothing is padding, though the trailing "Neon: PATCH /accounts/{id}" is the weakest element.

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 12-parameter mutation tool with no output schema and thin annotations, the definition covers the essentials an agent needs: what can change, that it is a partial update, and the type precondition. Missing error/auth context keeps it from a 5.

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 12 parameters, including the enum on type and the field mappings. The description's field list is a helpful summary but adds no syntax or format detail beyond the schema, so the baseline 3 applies.

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 (Change) and resource (account) plus an explicit list of the mutable fields (name, email, job title, company name, opt-out flags). The scoping line "Addresses are not edited here" further sharpens what the tool does and does not touch.

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?

Gives real preconditions: partial-update semantics ("only the fields you pass are changed"), the requirement that type must match the account, and a pointer to neon_get_account to check it. It also excludes addresses. It stops short of an explicit when-to-use-this-vs-alternative statement, but the guidance is concrete.

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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