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manage_plates

Add, remove, or list saved license plates for parking ticket monitoring in supported US cities. Track vehicles and prepare disputes from one place.

Instructions

Add, remove, or list saved license plates for ticket monitoring

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cityNoCity (for add/remove)
typeNoPlate type, e.g. PAS, COM (for add)
stateNoPlate state, e.g. NY, IL, FL (for add)
actionYesAction to perform
numberNoPlate number (for add/remove)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, openWorldHint=false and destructiveHint=false, so the mutation profile is covered structurally. The description adds essentially no behavioral context beyond the action list itself: it does not say whether removals are reversible, where plates persist, or that 'remove' deletes saved state (a point that sits awkwardly with destructiveHint=false).

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 front-loaded sentence with no filler; the resource leads and the allowed operations follow. It is efficient, though its brevity is the direct cause of the missing workflow context rather than a virtue of trimming redundancy.

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?

With 5 parameters, two enums, no output schema and only generic annotations, the description is thin for the complexity: it never states that 'action' is required, which fields each action needs, or how stored plates feed the other tools. The schema absorbs some of that burden at 100% coverage, leaving a minimally adequate definition.

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 each property already documents its role, including the per-action qualifiers ('for add', 'for add/remove'). The description adds no parameter nuance 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?

Specific verb set (add/remove/list) paired with a concrete resource (saved license plates) and a stated domain ('for ticket monitoring'), so an agent immediately knows the tool's scope. It does not name or contrast against any sibling such as check_tickets, which consumes these saved plates, so it falls short of the 5 tier.

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 when-to-use guidance, no prerequisite (e.g. that a plate must be added before check_tickets can monitor it), and no routing advice relative to siblings like check_tickets or analyze_ticket. 'For ticket monitoring' hints at context but leaves the workflow decision entirely to inference.

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