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Absolute Best Air

get_technician_credentials

Read-onlyIdempotent

Professional credentials, verified BBB accreditation and active dealer authorizations, plus published dealer awards. Unverified technician counts are explicitly unknown.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context by disclosing that unverified technician counts are explicitly unknown, which prevents an agent from assuming such counts are returned. It still does not describe response format or pagination, but for a no-parameter read-only lookup the added caveat meaningfully supplements 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two compact sentences with no filler. It is front-loaded with the main returned data categories and then adds the unverified-counts caveat. It could be slightly clearer with an explicit subject/verb, but it wastes no words.

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 simple no-parameter, read-only tool with no output schema, the description gives a reasonable inventory of returned data types and a notable data caveat. However, it leaves ambiguity about whether the credentials are company-level or technician-level, and it does not help an agent understand when to choose it over adjacent tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has zero parameters, so there are no parameter semantics for the description to clarify. The baseline for a 0-parameter tool is 4. The description does not need to compensate for missing parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

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

The description is a noun-phrase list of data types ('Professional credentials, verified BBB accreditation... plus published dealer awards') rather than a clear verb-plus-resource statement. It never explicitly says it retrieves technician credentials, and BBB accreditation / dealer authorizations sound company-level, creating ambiguity about whether this tool returns per-technician or company-wide data. It is distinguishable from siblings like get_company_info or get_pricing, but only weakly.

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?

No when-to-use guidance is given. It does not mention the sibling tools or explain when an agent should call this instead of get_company_info or another credentials source. The only contextual clue is the unverified-counts caveat, which is data-oriented rather than usage-oriented.

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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