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IERhub Texas electrician license lookup

get_license_stats

Read-only

Counts of active licenses and licenses that expire within 3 months, by license type, from the daily Texas Department of Licensing and Regulation (TDLR) file pull.

Input Schema

NameRequiredDescriptionDefault
typeNoOptional license type name or page slug.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds genuinely useful context beyond that: the counts come from a daily TDLR file pull, which tells the agent how fresh the data is. It does not state the return shape or whether the 3-month window is fixed.

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?

A single front-loaded sentence with no filler; the grouping dimension and time window are stated compactly.

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 aggregate tool with one optional param and no output schema, the description conveys the metric, the grouping, and the time window, which is enough to predict the response shape. Minor gaps remain around the fixed 3-month threshold and whether all types are returned when 'type' is omitted.

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?

With one optional parameter and 100% schema description coverage, the schema already documents 'type' as an optional license type name or page slug. The description does not clarify the filtering behavior, such as whether omitting it returns counts for all types. 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 states a specific verb and resource (counts of licenses) plus a precise scope: active vs. expiring within 3 months, grouped by license type. This clearly separates it from lookup_license and list_license_types, though it doesn't name those siblings explicitly.

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?

Usage is only implied by the aggregate framing ('counts ... by license type'), which suggests reporting rather than individual lookup. There is no explicit when-to-use, when-not-to-use, or named alternative among the eight siblings.

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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