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pghdma

CallRail MCP

list_calls

Retrieve paginated call logs filtered by company, date range, source, or answered status. Include optional fields like keywords, landing page, and UTM parameters for detailed analysis.

Instructions

List calls. Paginated. Filterable by company, date window, source, answered status.

Args: account_id: Auto-resolves if omitted. company_id: Filter to one company. Omit for all companies. days: Lookback in days (default 7). Ignored if start_date provided. start_date: 'YYYY-MM-DD'. end_date: 'YYYY-MM-DD' (defaults to today). source: Filter (e.g. 'google_paid', 'google_organic', 'direct', 'bing_paid'). answered: 'true' or 'false'. per_page: Max 250. page: 1-indexed. fields: Comma-separated additional fields to include, e.g. 'company_name,source_name,keywords,landing_page_url,device, first_call,value,tags,note,gclid,fbclid,utm_source,utm_medium, utm_campaign,utm_content,utm_term,referrer_domain'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
account_idNo
company_idNo
daysNo
start_dateNo
end_dateNo
sourceNo
answeredNo
per_pageNo
pageNo
fieldsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Without annotations, the description provides some behavioral context (e.g., auto-resolution of account_id, pagination defaults) but lacks details on rate limits, data freshness, sorting, or side effects. It partially compensates for the absence of annotations.

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 front-loaded with a clear summary followed by detailed parameter documentation. The list of fields is exhaustive but necessary for utility. Well-structured without redundancy.

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 number of parameters and presence of an output schema, the description covers filtering, pagination, and parameter behavior. It is missing explicit mention of default ordering or output structure, but overall it is sufficiently complete for a list operation.

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%, but the description thoroughly explains each parameter: auto-resolution, default values, interaction between days and start_date, formats, and examples. This adds substantial meaning beyond the raw schema.

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 that the tool lists calls with pagination and filtering options. It distinguishes itself from other list_* tools and search_calls_by_number by specifying the resource and capabilities.

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 scenarios through its filter options but does not explicitly state when to use this tool over siblings like search_calls_by_number or get_call. No 'when-not' guidance is provided.

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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