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Casemargin

CaseMargin MCP Server

Official
by Casemargin

Generate case brief

generate_case_brief

Generate a structured case brief from a support ticket thread to get assessment, tried actions, status, and recommended next step. Converts ticket threads into clear actionable summaries.

Instructions

Generate a structured case brief from a support ticket thread. Returns an assessment, what has been tried, current status, and recommended next step.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ticket_contentYesThe full support ticket thread — customer messages, agent replies, internal notes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
metadataYes
full_briefYes
quick_scanYes
Behavior4/5

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

With no annotations, the description carries the transparency burden. It discloses what the tool returns ('assessment, what has been tried, current status, and recommended next step') and that the brief is structured, which are meaningful behavioral details. It does not mention side effects or prerequisites, but for a generation tool, this is adequate.

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, front-loaded sentence that states the action and outcome. Every word earns its place, with no redundancy or filler.

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?

Given the tool's simplicity (one parameter, full schema coverage, and an output schema), the description is complete. It specifies the input source and the output structure, covering the essential information an agent needs to invoke and interpret results.

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?

The schema description covers the 'ticket_content' parameter 100%, explaining it as the full support ticket thread with examples. The tool description merely reiterates 'from a support ticket thread' without adding new format or usage details, so it meets the baseline but does not exceed it.

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 uses a specific verb ('Generate') and resource ('structured case brief') from a support ticket thread, clearly stating its function. It also lists the output components, distinguishing it from the sibling tool 'check_escalation_readiness'.

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 when a case brief from a ticket thread is needed, but provides no explicit 'when to use' or 'when not to use' guidance. It does not reference or differentiate from the sibling tool 'check_escalation_readiness', leaving usage context to inference.

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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