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kanopi

@kanopi/callrail-mcp

by kanopi

List calls

list_calls
Read-only

Retrieve and filter call records from your CallRail account using date ranges, tags, answered status, and more.

Instructions

List calls in an account with filtering, sorting, search and field selection.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (default 1).
sortNoField to sort by (resource-specific).
tagsNoFilter by tag names.
orderNoSort direction.
fieldsNoOptional additional fields to include in each record.
searchNoFree-text search filter.
answeredNoFilter by answered status.
end_dateNoISO 8601 end of a custom date range.
per_pageNoResults per page (default 100, max 250).
directionNo
account_idNoCallRail account id. Defaults to CALLRAIL_ACCOUNT_ID if set.
company_idNoFilter to a single company.
date_rangeNoPredefined range: recent, today, yesterday, last_7_days, last_30_days, this_month, last_month, this_year, last_year, all_time.
start_dateNoISO 8601 start of a custom date range.
tracker_idNoFilter to a single tracker.
Behavior3/5

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

Annotations already declare readOnlyHint=true, so description is consistent. However, description adds no extra behavioral context like pagination behavior or rate limits.

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?

Single sentence, 10 words, no fluff. Every word adds value.

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?

With 15 parameters and no output schema, description could mention pagination or default behavior. Lacks details on output format but covers core purpose.

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 93%, so parameters are well-documented. Description adds a high-level summary but no additional parameter-specific meaning.

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

Purpose4/5

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

Clearly states 'List calls in an account' with filtering, sorting, search, and field selection. Differentiates from siblings like get_call (single) and aggregated summaries.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives like get_calls_summary or get_calls_timeseries. No mention of prerequisites or exclusions.

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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