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coverage-trigger

coverage_trigger_feed

Return businesses that JUST legally/practically NEED commercial insurance, drawn from public trigger events (new FMCSA DOT operating authority + newly formed commercial entities). Each lead is normalized to a NAICS family and a MANDATED-COVERAGE MAP (which policies it now needs: general liability, commercial auto, motor cargo, workers-comp, surety bond, etc.), deduped so one entity hitting multiple triggers = ONE lead, and tiered by lead value. Built for B2B insurance & surety AGENTS sourcing fresh, high-intent commercial leads.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoLookback window in days (default 7).
limitNoMax leads (default 100).
stateNoTwo-letter state filter, e.g. 'CT'.
sourcesNoSubset of sources: 'fmcsa', 'ct-sos'. Omit for all.
coverageLineNoFilter to leads needing a line, e.g. 'commercial-auto', 'general-liability', 'surety-bond'.
minLeadValueNoOnly leads with estLeadValueUsd >= this.

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries full burden. It describes the process (trigger events, dedup, tiering) but does not mention whether the tool is read-only, requires authentication, or has side effects. Adequate but not explicit.

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 well-structured and efficient, with no wasted sentences. Slightly long but each sentence adds value, such as explaining dedup and tiering.

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 complex tool with 6 optional parameters and no output schema, the description covers input and process well but lacks details about the return format (e.g., fields in each lead, pagination). Adequate for understanding purpose, but not fully complete.

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 100%, so parameters are already well-described. The description adds global context but little parameter-specific meaning beyond the schema. Baseline 3 is appropriate.

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 returns businesses needing commercial insurance from specific public trigger events (FMCSA, new entities). It explains normalization, deduplication, and tiering, and distinguishes itself from sibling tools by targeting B2B agents sourcing fresh leads.

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?

The description implies usage by 'B2B insurance & surety AGENTS' for fresh leads, but does not explicitly state when to use versus alternative tools (coverage_pulse, coverage_sources) or when not to use it.

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 has a clearly distinct purpose: coverage_pulse provides an aggregate overview without contact data, coverage_sources lists metadata about trigger sources, and coverage_trigger_feed returns actual business leads. No overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent 'coverage_[noun]' pattern (coverage_pulse, coverage_sources, coverage_trigger_feed), making it easy to predict the purpose from the name.

Tool Count5/5

Three tools are well-scoped for the server's purpose—providing aggregate insights, source metadata, and the actual lead feed. Not too few or too many for a focused lead-generation domain.

Completeness5/5

The tool surface covers the essential operations: understanding aggregate demand (pulse), learning about data sources (sources), and retrieving actual leads (feed). No obvious gaps for the intended use case.

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