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Glama

Georgiaautoquotes

Agency status (buyers)

agency_status
Read-onlyIdempotent

For a registered agency: its states, rail, terms, founding period, queued and delivered counts, credit balance, and whether the licence was verified. Requires the buyer key issued at confirmation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
buyer_keyYesIssued to the licensed contact at confirmation

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  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 readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds value by enumerating exactly what data the read surfaces and by noting the required credential for access, which is useful behavioral context beyond the schema.

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?

Two concise sentences with zero filler. The returned data list is front-loaded, and the prerequisite is stated in a single closing sentence. Every element earns its place.

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 single-parameter, read-only status tool with no output schema and rich annotations, the description adequately conveys the purpose, the required input, and the scope of returned data. It loses one point because domain terms like 'states' and 'rail' are not elaborated, which could leave an agent unsure of their meaning without additional context.

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%: the sole parameter buyer_key is already documented as 'Issued to the licensed contact at confirmation'. The description repeats essentially the same information rather than adding detail like format, length, or how to obtain it. Baseline 3 is appropriate since the schema carries the semantic weight.

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?

States a clear resource ('a registered agency') and a specific verb implied by 'status' — returns a defined list of fields: states, rail, terms, founding period, queued/delivered counts, credit balance, and licence verification. This distinguishes it from sibling tools like 'register_agency' or 'check_eligibility', though it does not name them explicitly.

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 description scopes usage to 'a registered agency' and states a hard prerequisite — the buyer key issued at confirmation. This gives an agent a clear condition for when the tool applies, distinguishing it from registration or eligibility flows. It lacks explicit exclusion guidance (e.g., 'not for unregistered agencies'), but the context is clear enough.

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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TDQS

A3.9/5.0
Disambiguation4/5

Tools are largely distinct, with clear separation between eligibility checks, quote retrieval, lead queue pulls, and agency registration. Minor potential confusion between 'pull_requests' and 'request_agent_contact' exists, but descriptions clarify their different purposes.

Naming Consistency3/5

Names mix verb-first patterns (check_eligibility, get_quotes, register_agency) with noun-phrase patterns (market_data, agency_status, data_use_terms). The inconsistency is noticeable but not chaotic, and each name remains understandable.

Tool Count5/5

Eight tools is well within the reasonable range for this domain, covering the core workflows without unnecessary bloat or missing essential functionality.

Completeness4/5

The tool set covers registration, eligibility, quotes, consumer contact, lead pulling, market data, terms, and status checks. Minor gaps such as agency update/removal or quote customization exist, but the primary domain workflows are well represented.

Resources