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Glama

Florida Insurance

Check eligibility

check_eligibility
Read-onlyIdempotent

Check whether we can return quotes for a state before any personal details are collected. Call this first. Returns the states we are licensed in, what we can do in each, and how many licensed agents can take a request there.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoTwo-letter US state code, e.g. NV
productYesauto

Schema Changelog

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

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

The annotations already declare readOnly, idempotent, and non-destructive behavior, so the description does not need to repeat those. It adds useful context beyond the annotations: no personal details are needed, it should be called first, and it returns licensing coverage, capabilities, and licensed agent counts. This enriches the operational understanding of the tool.

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 two sentences, front-loads the core action, and includes both sequencing guidance and a concise summary of the return value. Every sentence adds value with no redundant or filler content.

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?

With no output schema, the description appropriately describes the return contents: licensed states, per-state capabilities, and licensed agent counts. It also covers call ordering and the absence of personal data requirements. It is slightly open how the optional state parameter behaves when omitted, but the plural 'states' strongly implies the all-states behavior.

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 describes the state parameter as a two-letter code, and the description adds meaningful guidance by linking it to eligibility and noting the returned states. It also implies the tool can return licensed states generally, which clarifies optional state usage. The product parameter is self-explanatory through its enum/default of 'auto,' so the partial schema coverage is adequately compensated.

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

Purpose5/5

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

The description clearly states the tool's purpose: a pre-collection eligibility check for returning quotes in a state. It distinguishes itself implicitly from quote retrieval by emphasizing the 'before any personal details are collected' step and 'Call this first.' The resource and action are specific and immediately understandable.

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 explicitly says 'Call this first,' which gives clear sequencing guidance and identifies this as the initial prerequisite check. It could be stronger by naming the alternative sibling tools, such as get_quotes, to explicitly state when not to use this tool, but the intended 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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool maps to a distinct step or resource: eligibility pre-check, quotes, consent/contact, agency registration, agency status, lead queue, market data, and data-use terms. Even the two quote-related tools are clearly sequenced with check_eligibility described as 'call this first'.

Naming Consistency3/5

Five tools use a clear verb_noun pattern (check_eligibility, get_quotes, pull_requests, register_agency, request_agent_contact), but three are bare noun phrases (agency_status, data_use_terms, market_data). All names are readable and consistently snake_case, but the verb-led convention is not uniform.

Tool Count5/5

Eight tools cover the main stages of an insurance marketplace: eligibility, quotes, consumer consent, agency onboarding, lead delivery, market data, and terms. The count is well-scoped and each tool earns its place.

Completeness4/5

The core consumer journey (eligibility → quotes → consented agent contact → lead delivery) and agency workflow (register → status → pull requests) are well covered, along with market data and terms. Minor gaps exist, such as no explicit update/removal for agency registration and consent revocation only mentioned as POST /forget rather than a tool.

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