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Dot-Fun

Fathom AI MCP Server

by Dot-Fun

list_meetings

Retrieve meetings recorded or shared with you, with filters for participants, dates, teams, and recording users, plus optional summaries, transcripts, action items, and CRM matches.

Instructions

List meetings recorded by or shared with the authenticated user.

Supports pagination via cursor and various filtering options including participants, date ranges, recording users, and teams. Can optionally include action items, CRM matches, summaries, and transcripts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
teamsNoList of team names to filter by
cursorNo
recorded_byNoList of user emails who recorded the meetings
created_afterNoISO 8601 timestamp to filter meetings created after this date
created_beforeNoISO 8601 timestamp to filter meetings created before this date
include_summaryNo
calendar_inviteesNoList of email addresses to filter by
include_transcriptNo
include_crm_matchesNo
include_action_itemsNo
calendar_invitees_domainsNoList of company domains to filter by
calendar_invitees_domains_typeNoFilter by external/internal meetings: 'only_internal' or 'one_or_more_external'

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It adds useful context: the meetings are scoped to the authenticated user, pagination is available, and certain fields are optional includes. However, it does not mention authentication requirements, rate limits, default pagination size, or potential errors. Since this is a read-only list operation, the lack of side-effect disclosure is less critical, but the description still leaves significant behavioral aspects unspecified.

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 two sentences, front-loaded with the core purpose and followed by a concise summary of capabilities. Every sentence earns its place with no fluff or redundancy. It is appropriately sized for a tool with 12 parameters, giving a high-level overview without excessive detail.

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 complexity (12 parameters, output schema, multiple optional includes), the description provides a solid overview: it states the scope (user's meetings), lists the main filter dimensions, mentions pagination, and notes optional enrichments. The output schema further covers return values, so the description does not need to detail them. It lacks some specifics like default ordering or pagination limits, but these are less critical for an initial invocation. Overall, it is sufficiently complete for an agent to understand the tool's role and basic usage.

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?

Schema description coverage is 58%, leaving several parameters (cursor, include_* booleans) without individual descriptions. The tool description compensates by explaining that cursor is for pagination and that the boolean flags control optional includes (action items, CRM matches, summaries, transcripts). It also groups filter types (participants, date ranges, recording users, teams), adding semantic structure beyond the raw schema. This meaningfully helps an agent understand how to use the 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 clearly states the tool's function with a specific verb ('List') and resource ('meetings'), and adds an important scope qualifier ('recorded by or shared with the authenticated user'). This distinguishes it from sibling tools like get_summary and get_transcript, which fetch specific artifacts, and list_teams/list_team_members, which list other resources.

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 by describing capabilities (pagination, filters, optional includes), but does not explicitly state when to prefer this tool over alternatives. For example, it mentions optional includes for summaries and transcripts, which suggests it could replace get_summary/get_transcript in some cases, but it does not give explicit guidance on when to use those tools instead. The usage is implied but not articulated.

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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