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MarketSharp: Result appointment

marketsharp_result_appointment

MarketSharp: Set the Appt Result after the visit. A result marked Sold converts the lead to a customer. Sets the Appt Result of one appointment to one of your company's own options. A result marked Sold converts the lead to a customer, and the response says what to do next. By default you confirm each call; you can switch that off for this tool. Reaches other people: confirm with the user before each call. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYesOne of your company's Appt Result options.
appointment_idYesAppointment ID from get_contact or list_appointments.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations cover the safety profile (not read-only, not destructive, open-world), and the description adds real value beyond that: it discloses the side effect that Sold converts the lead to a customer, that a response tells you what to do next, the default per-call confirmation, and the API key requirement. This is strong supplemental context.

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

Conciseness2/5

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

The clause 'A result marked Sold converts the lead to a customer' appears twice almost verbatim, wasting space in an otherwise short description. The redundancy suggests the text was assembled from fragments rather than edited.

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 mutation tool with no output schema, the description covers the key side effect, the confirmation protocol, the human-approval requirement, and the auth need. An agent has what it needs to call it correctly aside from the duplicated sentence.

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 both parameters (including that result is 'one of your company's Appt Result options'). The description adds no syntax or value detail beyond that, so the baseline 3 applies.

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?

States a specific verb and resource: 'Sets the Appt Result of one appointment.' The scope is clear enough to distinguish from schedule_appointment or update_job_status, though it does not explicitly name a sibling to route away from.

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?

'Set the Appt Result after the visit' implies timing/context, and the Sold-to-customer note hints at intent, but there is no explicit when-not-to-use guidance or named alternative tool. Usage is only implied.

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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