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coverage-trigger

coverage_sources

List the public trigger-event sources this feed normalizes, their geographic coverage, and the agent buyer each is best for.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries full burden. It indicates a read operation (list) but does not disclose additional behavioral traits such as data freshness, pagination, or permissions. For a simple list tool, this is adequate but not thorough.

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 a single, front-loaded sentence with no wasted words. Every part adds value.

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?

Given the tool's simplicity (no parameters, no output schema), the description provides the key elements of the list. However, it could be improved by noting if the sources are static or updated, and what 'agent buyer' refers to in context.

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?

There are no parameters, so the description adds meaning beyond the empty schema by detailing what the output contains (sources, geographic coverage, agent buyer). This compensates well for the lack of parameters.

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 uses a specific verb 'List' and clearly identifies the resource (public trigger-event sources). It also specifies the output includes geographic coverage and agent buyer recommendation, making the purpose distinct from sibling tools coverage_pulse and coverage_trigger_feed.

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 for discovering sources, but provides no explicit guidance on when to use this tool versus alternatives, nor mentions 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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