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NimbleBrainInc

Granola MCP Server

get_meeting_stats

Retrieve key statistics about your meetings, including document counts, date range, and unique attendees.

Instructions

Get statistics about your Granola meeting data.

Args: ctx: MCP context

Returns: Statistics including document counts, date range, and unique attendees

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
total_documentsYes
total_transcriptsYes
documents_with_transcriptsYes
date_range_startYes
date_range_endYes
unique_attendeesYes
Behavior3/5

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

No annotations exist, so the description must carry behavioral disclosure. It states that the tool returns 'document counts, date range, and unique attendees', implying a read operation. However, it does not mention authentication needs, rate limits, or output format specifics beyond these fields.

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 brief and includes an Args/Returns structure. However, the 'ctx: MCP context' line is generic and unnecessary, adding minor noise. Overall, it is front-loaded with purpose.

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 that an output schema exists, the description does not need to fully explain return values. It mentions key statistics like document counts, date range, and unique attendees, which is sufficient for understanding. No critical gaps.

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?

There are no parameters (0 params), so baseline is 4. The description does not need to add parameter information; it correctly uses an empty input schema.

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 'Get statistics about your Granola meeting data', specifying the verb 'Get' and the resource 'statistics'. This distinguishes it from siblings like get_meeting, list_meetings, and summarize_meetings, which have different focuses.

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?

No explicit guidance on when to use this tool versus alternatives is provided. For a parameterless statistics tool, usage is straightforward, but the description could mention that it's for high-level overview rather than detailed data.

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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