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pghdma

CallRail MCP

list_trackers

List tracking phone numbers grouped by traffic source. Filter by account, company, or status to manage call attribution.

Instructions

List tracking phone numbers (trackers). Each tracker maps a pool of phone numbers to a traffic source (Google Ads, Organic, Direct, etc.).

Args: account_id: Auto-resolves if omitted. company_id: Filter to one company. per_page: Page size (max 250). page: 1-indexed. status: Filter by status. Defaults to None (returns all, including soft-deleted/disabled). Common values: 'active', 'disabled'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNo
statusNo
per_pageNo
account_idNo
company_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 discloses key behaviors: status default returns all including soft-deleted/disabled, account_id auto-resolves. However, it does not mention pagination behavior beyond page size, permission requirements, or whether it's a read-only operation (though implied).

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 concise, with a brief introduction followed by a parameter list. It avoids fluff, but the parameter list could be more structured (e.g., using bullet points). Every sentence 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 and the presence of an output schema (not shown but indicated), the description covers essential aspects: what the tool does, parameter semantics, and key defaults. It does not explain return format, but the output schema handles that. Minor gaps include lack of usage guidelines and more detailed behavioral context.

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

Parameters5/5

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

Schema description coverage is 0%, so description must compensate. It adds significant meaning: account_id auto-resolves if omitted, company_id filters to one company, per_page max size 250, page 1-indexed, status defaults to None with common values 'active' and 'disabled'. This greatly aids parameter understanding.

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 lists tracking phone numbers (trackers) and explains what a tracker is. It uses specific verb 'list' and resource 'trackers', distinguishing it from siblings like get_tracker (single) and create_tracker (create).

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 does not explicitly state when to use this tool vs alternatives. It implies usage when you need a list of trackers, but lacks guidance on when to use list_trackers versus get_tracker or create_tracker. No exclusions or alternatives are mentioned.

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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