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JustlyAI

DocketBird MCP Server

by JustlyAI

docketbird_create_autocalendar

Create an autocalendar for a case to have its deadlines and hearings appear in your firm's calendar. Use after following a case to track dates.

Instructions

Create an autocalendar for a case, so its deadlines and hearings appear in your company's calendar (docketbird_get_calendar).

Practice scope: acts on YOUR DocketBird account. Creation is queued — the
case's docket sheet is updated first, then the autocalendar is built.
Court (PACER) fees may apply for the docket update.

When to use:
- Adding a case's deadlines to the firm's calendar
- After following a case you need to track dates for

Args:
    case_id: DocketBird case ID (e.g., 'txnd-3:2007-cv-01697')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
case_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Discloses queued creation, docket sheet update, and potential PACER fees. This goes beyond annotations (which only mark openWorldHint=true) by explaining side effects and costs.

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?

Concise, well-structured: purpose, scope, behavior, usage, args. Every sentence adds value without redundancy.

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

Completeness5/5

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

Covers purpose, behavior, usage, parameter with examples. Output schema exists, so return info is not needed. References related tool for viewing calendar. Complete for a creation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but description provides domain context (DocketBird case ID) and an example format, adding significant meaning over the schema's bare type definition.

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?

Clearly states verb (create), resource (autocalendar for a case), and outcome (deadlines and hearings appear in calendar). Distinguishes from sibling docketbird_get_calendar by referencing it and from docketbird_follow_case by specifying different action.

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?

Explicit 'When to use' section with two scenarios. Mentions practice scope and queuing behavior. Lacks explicit when-not-to-use or alternatives, but provides sufficient context for selection.

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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