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pickuppatrol-mcp

pickuppatrol-mcp

by chrischall

pup_list_car_numbers

Read-only

Retrieves the car numbers a school has issued to an account for dismissal options that use car numbers. Provide a school ID to list them.

Instructions

The car numbers a school has issued to this account, for dismissal options where usesCarNumbers is true.

Input Schema

NameRequiredDescriptionDefault
school_idYesSchool id, from pup_list_students

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observedv0.1.2

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety and reach profile is covered structurally. The description adds the domain condition (usesCarNumbers) but says nothing about permissions, result shape, pagination, or rate behavior. With annotations carrying the safety burden, a 3 is fitting.

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?

A single short sentence with no filler, and the resource (car numbers) is front-loaded. The phrasing is a sentence fragment, but nothing is wasted and the qualifying condition is placed last, which reads efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter read tool with annotations and no output schema, the description covers what is returned at a high level but not its form (e.g., list of strings vs objects). It is adequate to select the tool but slightly thin on the return contract given no output schema exists.

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%, and the single school_id parameter is already documented in the schema ('School id, from pup_list_students'). The description only indirectly implies school scoping ('a school has issued'), adding 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.

Purpose4/5

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

The description names a specific resource (car numbers) and its scope (issued by a school to this account), so an agent can distinguish it from sibling list tools like pup_list_students or pup_list_plans. It is phrased as a noun fragment rather than an explicit verb+resource, and it doesn't directly contrast itself with any sibling, which keeps it below a 5.

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?

The clause 'for dismissal options where usesCarNumbers is true' gives an implied usage condition, so the agent knows this data matters when car-number-based dismissal is enabled. There is no explicit when/when-not guidance and no mention of alternative tools for related data, leaving usage to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.