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blackgirlbytes

GitHub Calendar MCP Server

get_calendar_events

Retrieve GitHub project calendar events for team workload analysis and scheduling insights. Filter by date, assignee, organization, or project number to track tasks and manage team status.

Instructions

Get GitHub project calendar events with optional filtering

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orgNoGitHub organization name (default: squareup)squareup
projectNoGitHub project number (default: 333)
sinceNoISO date string to filter events from (default: 2025-08-01)
assigneeNoFilter events by assignee GitHub username
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states it's a read operation ('Get'), implying no destructive effects, but doesn't disclose behavioral traits like authentication needs, rate limits, pagination, error handling, or what the return format looks like. For a tool with no annotation coverage, this is a significant gap.

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 a single, efficient sentence with zero waste. It's front-loaded with the core purpose and includes essential context about filtering. Every word earns its place, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, no output schema, and 4 parameters, the description is incomplete. It lacks information on return values, error conditions, authentication, or usage context. For a tool with this complexity and no structured support, the description should do more to compensate.

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 description coverage is 100%, so the schema already documents all four parameters with descriptions and defaults. The description adds no additional meaning beyond what's in the schema, such as explaining relationships between parameters or filtering logic. Baseline 3 is appropriate when schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('Get') and resource ('GitHub project calendar events') with scope ('with optional filtering'). It distinguishes from siblings like 'get_person_schedule' by specifying it's about project events, not personal schedules. However, it doesn't explicitly differentiate from all siblings like 'analyze_workload' or 'get_team_status'.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like 'get_person_schedule' or 'analyze_workload'. The description mentions optional filtering but doesn't specify use cases, prerequisites, or exclusions. This leaves the agent without contextual direction.

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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