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gray-wilbee

fub-mcp

by gray-wilbee

create_appointment_outcome

Create an appointment outcome to record the result of a scheduled meeting. Set its name and order weight to classify and sort outcomes in the CRM.

Instructions

Create an appointment outcome. (POST /appointmentOutcomes)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoName of the appointment outcome.
extraBodyNoExtra raw JSON body fields not explicitly listed above — e.g. custom.* fields when creating/updating people or deals. Keys and values are sent as-is.
extraQueryNoExtra raw query parameters not explicitly listed above — e.g. FUB custom field filters like custom.ClosingDate on /people or /deals. Keys and values are sent as-is.
orderWeightNoSet this value to enforce a specific sort order.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral disclosure burden, but it only states 'Create' and the HTTP POST. It does not mention idempotency, required versus optional parameters, success or error responses, side effects, or any constraints like uniqueness of the outcome name.

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?

The description is two short phrases: a clear action and the HTTP endpoint. It is front-loaded with the verb and resource, contains no filler, and every word earns its place.

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?

Although the schema covers all parameters, the tool has no annotations, no output schema, and a one-sentence description that omits usage context, behavioral outcomes, or constraints. For a create operation with all-optional fields, an agent would benefit from knowing what happens on success, whether duplicates are allowed, or what the response contains.

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 coverage is 100% (all 4 parameters have descriptions), so the baseline is 3. The description adds no parameter-level meaning beyond the schema, but the schema already documents each parameter adequately, including the generic extraBody and extraQuery pass-through objects.

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 clearly states the tool creates an appointment outcome, a specific verb and resource, and the POST endpoint adds clarity. However, it does not explicitly differentiate from sibling tools like list_appointment_outcomes or update_appointment_outcome, relying on the tool name's 'create' prefix.

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?

The description provides no guidance on when to use this tool versus alternatives, no prerequisites, and no mention of conditions or exclusions. An agent is left to infer that this is the create counterpart to list/get/update outcome tools.

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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