Extract meeting action items, decisions, blockers, and follow-ups from transcripts. For project management and productivity.
Scored across 1 tool
There is only one tool, so there is nothing for an agent to confuse it with. Its purpose (extracting topics, decisions, action items, blockers, and follow-ups from meeting notes) is stated clearly and distinctly.
The single tool follows a clean snake_case verb_noun pattern (extract_meeting_actions) that matches the server's domain directly. With no other tools present, there is no convention mixing to penalize.
A single tool is thin for a server whose scope spans several extraction outputs (topics, decisions, actions, blockers, follow-ups). While not trivial, the surface offers no companion operations, making it borderline rather than well-scoped.
The tool covers extraction, but the lifecycle stops there: there is no way to persist results, push action items into a task system, filter by owner/date, or re-query prior extractions. Agents can work with raw output but hit a dead end for downstream workflow steps.
Extract structured data from meeting transcripts or notes: topics, decisions, action items (with owner, due date, priority), blockers, and follow-up. Useful for project management, note-taking, productivity.
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | Meeting transcript or notes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations exist, so the description carries the full burden. It partially compensates by disclosing the shape of the extracted output (topics, decisions, action items with owner/due/priority, blockers, follow-ups), which is the most important behavioral fact given there is no output schema. However it says nothing about determinism, accuracy, processing cost, or whether the input must be a single meeting.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences, front-loaded with the action and output list; the trailing 'Useful for...' clause is slightly filler but short and does add orientation. Efficient overall.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no annotations, the description does the necessary work by enumerating the returned fields and the input type. It omits error/edge-case behavior and input constraints, but for a single-parameter extraction tool it is largely sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% and the only parameter ('text') is already documented in the schema as 'Meeting transcript or notes'. The description restates that same semantics (transcripts/notes) but adds no format, length, or language constraints. Baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('Extract') and resource ('meeting transcripts or notes') and then enumerates exactly what is extracted (topics, decisions, action items with owner/due date/priority, blockers, follow-ups). An agent knows precisely what this tool produces without opening anything else.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The trailing sentence names domains ('project management, note-taking, productivity') which implies usage context, but there is no explicit when-to-use vs. when-not, no prerequisites, and no stated alternatives. Implied usage only.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
extract_meeting_actions
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