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kanopi

@kanopi/callrail-mcp

by kanopi

List text conversations

list_conversations
Read-only

Retrieve paginated SMS/MMS conversations with optional date range, search, and sorting filters.

Instructions

List SMS/MMS text-message conversations in an account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (default 1).
sortNoField to sort by (resource-specific).
orderNoSort direction.
fieldsNoOptional additional fields to include in each record.
searchNoFree-text search filter.
end_dateNoISO 8601 end of a custom date range.
per_pageNoResults per page (default 100, max 250).
account_idNoCallRail account id. Defaults to CALLRAIL_ACCOUNT_ID if set.
company_idNo
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.
Behavior2/5

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

Beyond the existing readOnlyHint annotation, the description adds no behavioral traits such as pagination behavior, sorting defaults, or data limits; it merely restates the tool's function.

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 a single concise sentence with no wasted words; however, it lacks structure such as bullet points or sections that could improve scanability.

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?

Given 11 optional parameters and no output schema, the description minimally covers the general purpose but does not explain the return structure or common filtering patterns, leaving some gaps despite the rich schema.

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 description coverage is 91%, so the baseline is 3; the tool description adds no additional parameter meaning beyond what the schema already provides.

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?

Description clearly states the action (List) and resource (SMS/MMS text-message conversations) with scope (in an account), distinguishing it from siblings like list_calls and send_text_message.

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 such as list_calls for phone calls or get_conversation for a single conversation; the description implicitly suggests for text conversations but does not explicitly exclude other use cases.

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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