Skip to main content
Glama

Import Meeting Transcript

sdd_import_transcript
Read-onlyIdempotent

Extract participants, topics, decisions, action items, requirements, constraints, and open questions from meeting transcripts in VTT, SRT, TXT, or MD format.

Instructions

Parses a meeting transcript (VTT, SRT, TXT, or MD) and extracts structured data: participants, topics, decisions, action items, raw requirements, constraints, and open questions. Supports Teams, Zoom, Google Meet, and Otter.ai transcripts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYesPath to transcript file (.vtt, .srt, .txt, .md) relative to workspace root
raw_textNoRaw transcript text (alternative to file_path — paste directly)
formatNoTranscript format. Use 'auto' to detect from file extension or content.auto
spec_dirNoSpec directory path (relative to workspace root).specs
Behavior3/5

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

Annotations already indicate this is a read-only, idempotent operation. The description adds extraction details but does not disclose additional behavioral traits such as whether results are stored or returned. It aligns with annotations.

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?

Two efficient sentences: first states core action and outputs, second adds supported tools. No unnecessary words, front-loaded with key information.

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?

The description explains purpose and input thoroughly. It lists extracted data fields, partially compensating for the lack of an output schema. However, it does not explicitly state the return format or structure.

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 100%, so parameters are well-documented. The description lists supported formats and tools but does not add significant meaning beyond the schema. Baseline 3 is appropriate.

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 parses meeting transcripts and extracts structured data (participants, topics, decisions, etc.), specifying supported formats and tools. It distinguishes itself from siblings like sdd_import_document and sdd_batch_transcripts.

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

Usage Guidelines4/5

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

The description implies when to use (when you have a meeting transcript) and lists supported tools, but does not explicitly state when not to use or provide alternatives. Given sibling tools, the purpose is distinct enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/paulasilvatech/specky'

If you have feedback or need assistance with the MCP directory API, please join our Discord server