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Pinpoint dealership sales tools

Follow-up cadence for a situation

follow_up_cadence
Read-only

The follow-up sequence for a dealership sales situation (new internet lead, missed inbound call, unconfirmed appointment, no-show, quote without an appointment, trade question without an appointment, text thread gone quiet, sold first week): each step's day, time, channel, purpose, message with the names filled in, and the reply that stops it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
repNoThe salesperson's first name
vehicleNoThe vehicle of interest
situationYesThe situation slug
dealershipNoThe dealership name
day_and_timeNoThe day and time on the table, for example "Saturday at 12:30"
customer_first_nameNoThe customer's first name

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the agent knows this is a safe read operation. The description adds value by detailing what the returned sequence contains, including personalized names and a stopping reply, but it does not go into deeper behavioral details such as whether the output is generated, templated, or formatted in a particular way.

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?

The description is a single, dense sentence that packs the situation list and output components into one readable string. It is efficient but slightly run-on; the parenthetical list and trailing colon sequence make it harder to parse than a structured multi-sentence description would be.

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 read-only tool with a rich output description, the definition covers what the tool returns and which situations it applies to. The lack of an output schema is compensated by the explicit list of step attributes, though it does not explain how optional parameters affect personalization.

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 six parameters, including the situation enum. The description references name-filled messages and day/time components, which loosely maps to rep, customer_first_name, and day_and_time parameters, but it does not add explicit parameter-level meaning beyond what the schema already provides.

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 identifies the resource as the follow-up sequence for a dealership sales situation and specifies the output components: day, time, channel, purpose, message, and stopping reply. It is specific but does not explicitly differentiate itself from the sibling tools like write_follow_up_texts or tailor_follow_up_cadence.

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 implies the tool is used for the enumerated sales situations but provides no guidance about when to choose it over sibling tools such as write_follow_up_texts, rewrite_follow_up_text, or check_follow_up_text. There are no exclusions, alternatives, or contextual triggers beyond the listed situations.

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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