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Antevo Mandates

create_client_goal

Create a financial goal. goal_type: RETIREMENT, EDUCATION, PROPERTY, LEGACY, LIFESTYLE, EMERGENCY, MAJOR_PURCHASE, CUSTOM.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
firm_idNo
priorityNo
client_idYes
goal_nameYes
goal_typeYes
descriptionNo
target_dateNo
target_amountNo
target_currencyNoCHF

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden, and it does not state whether the operation is a mutation, whether it requires permissions, what happens on duplicate goals, or what errors to expect for an invalid client_id. It discloses nothing beyond the enum vocabulary.

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?

Two short fragments with the action front-loaded and zero filler; the enum list is the single piece of useful payload. Brevity is appropriate even if the content is thin, so length itself is not the problem.

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?

An output schema exists so return values need not be described, but for a 9-parameter mutation tool with no annotations the definition is far too sparse. An agent cannot tell the format expected for target_date, the currency semantics, or how priority interacts with other goals.

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

Parameters2/5

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

Schema description coverage is 0% across 9 parameters, so the description should compensate, but it only enumerates allowed goal_type values. client_id, goal_name, target_date, target_amount, target_currency, priority, firm_id, and description are all left without meaning, format, or default guidance.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ('Create a financial goal'), which is unambiguous and clearly differs from the read sibling get_client_goals. However, it never names or contrasts with update_client_goal, which is the nearest alternative for an agent deciding between creating and modifying, so sibling differentiation is only implicit.

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

Usage Guidelines2/5

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

There is no guidance on when to create a goal versus updating an existing one or reading goals, nor any prerequisites such as the client_id needing to reference an existing client. Usage is only implied by the verb itself.

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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