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Casemargin

CaseMargin MCP Server

Official
by Casemargin

Check escalation readiness

check_escalation_readiness

Assess a support ticket's readiness for L2 escalation. Returns a 0-100 score, dimensional breakdown, predicted L2 questions, and missing items to address before escalating.

Instructions

Analyze whether a support ticket is ready to escalate to L2. Returns a readiness score (0-100), dimensional breakdown, predicted L2 questions, and missing items.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ticket_contentYesThe support ticket notes to evaluate for L2 escalation readiness

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
readinessYes
dimensionsYes
missing_itemsYes
overall_scoreYes
predicted_l2_questionsYes
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It indicates the tool analyzes input and returns specific outputs (score, breakdown, questions, missing items), implying read-only behavior, but it does not explicitly state it is non-destructive or describe limitations/auth requirements.

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 two sentences, front-loaded with the purpose, and includes valuable return-value details without any fluff. Every sentence earns its place.

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?

For a simple tool with one parameter and an output schema, the description covers the main purpose and outputs (readiness score, breakdown, questions, missing items). It slightly lacks explicit safety context, but the schema and clear purpose make it nearly complete.

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 single parameter ticket_content is fully described in the schema with 100% coverage, so the tool description does not need to add parameter semantics. The baseline of 3 applies since the schema already provides complete parameter meaning.

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 the action ('Analyze whether a support ticket is ready to escalate to L2') and the resource (support ticket), making the tool's purpose explicit. It distinguishes from the sibling tool generate_case_brief by focusing on readiness assessment rather than brief generation.

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?

The description provides a clear context for when to use the tool: evaluating a ticket for L2 escalation readiness. However, it does not explicitly mention when not to use it or name alternatives, so it lacks explicit exclusions.

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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