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IERhub Texas electrician license lookup

subscribe_alert

Start an email alert sign up for one license: 30 and 7 days before it expires, and at each fee step after. Writes a pending record and sends a confirm email. Ask the person first.

Input Schema

NameRequiredDescriptionDefault
langNoAnswer language, en or es. Default en.
typeNoOptional Worker license type, when the number belongs to more than one type.
emailYes
numberYes
confirmedNotrue only after the person agreed to the sign up.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare this is a write operation (readOnlyHint false), open-world (openWorldHint true), and non-destructive. The description adds important side-effect context: it writes a pending record and sends a confirm email, and it specifies the alert timing behavior. It stops short of explaining confirmation flow or idempotency, but adds meaningful value beyond the annotations.

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 three short sentences: purpose and schedule first, side effects second, consent requirement last. Every sentence adds information, and there is no wasted phrasing.

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 write tool with no output schema and five parameters, the description covers the key behavioral facts an agent needs: consent, pending record creation, confirmation email, and alert timing. Missing details like double opt-in mechanics or failure behavior are minor given the annotations and schema descriptions.

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 60%, leaving required parameters like 'number' and 'email' without schema descriptions. The description implies 'number' refers to a license and 'confirmed' relates to prior consent, but it does not define the parameters directly or clarify the optional 'type' disambiguation beyond what the schema already says. Baseline 3 is appropriate.

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 states a specific action ('Start an email alert sign up'), resource ('for one license'), and concrete schedule (30 and 7 days before expiry, plus fee steps). It is clear enough to distinguish from the read-only license/form siblings, though it does not explicitly name or rule out any sibling tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The instruction 'Ask the person first' gives a clear consent prerequisite, and 'confirmed' in the schema reinforces that the call should only be made after user agreement. It does not explain when not to use it or mention any alternative tool, but the context is clear.

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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