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NimbleBrainInc

Granola MCP Server

search_by_person

Retrieve meetings attended by a specific person, with optional date range and result limits.

Instructions

Find all meetings involving a specific person.

Args: person: Person's name or email address limit: Maximum results (default: 20) date_from: Filter by start date (YYYY-MM-DD) date_to: Filter by end date (YYYY-MM-DD) ctx: MCP context

Returns: List of meetings with that person

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
personYes
limitNo
date_fromNo
date_toNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalYes
offsetYes
limitYes
meetingsYes
Behavior2/5

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

With no annotations, the description must fully disclose behavior, but it only states the basic operation (find meetings) and return type, omitting details like side effects, permissions, or rate limits.

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 structured with clear Args and Returns sections, but it is slightly verbose with 5 lines for description plus 6 lines for details. It is informative and front-loaded with the main 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 an output schema exists, the description's return statement is sufficient. All parameters are explained, and the description provides a complete picture for a search tool, though it could mention pagination or ordering.

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?

The description adds significant meaning beyond the input schema by explaining each parameter's purpose and format, e.g., 'person: Person's name or email address' and 'date_from: Filter by start date (YYYY-MM-DD),' compensating for 0% schema coverage.

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 'Find all meetings involving a specific person,' using a specific verb and resource, and it distinguishes from siblings like search_meetings and list_meetings by focusing on the person filter.

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 for searching by person but does not explicitly state when to use it versus alternatives like search_meetings or list_meetings, nor does it mention any exclusions or prerequisites.

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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