Skip to main content
Glama

cmmn-get_resume_context

cmmn-get_resume_context

Retrieves case context for AI to resume work, including active, suspended, and enabled tasks, recent completions, and a summary. Requires case ID in @rid format.

Instructions

Gets context for AI to resume work on a case. Returns active/suspended/enabled tasks, recent completions, and summary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
case_idYesCase ID (@rid format)
Behavior4/5

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

No annotations are provided, so the description carries the full burden. It discloses that the tool returns context data and lists the types of tasks included. It does not mention side effects, suggesting a read-only operation. This is sufficient for transparency.

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?

Two sentences, front-loaded with the primary action and immediately followed by return details. No extraneous information. Every sentence earns its place.

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 low complexity (one parameter) and no output schema, the description adequately covers what the tool does and what it returns. No missing information critical for invocation.

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 sole parameter 'case_id' is fully described in the schema (100% coverage). The description does not add additional semantic meaning beyond what the schema provides. Baseline score applies.

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 tool's purpose: 'Gets context for AI to resume work on a case.' It specifies the returned content: active/suspended/enabled tasks, recent completions, and summary. This distinguishes it from sibling tools like cmmn-get_next or cmmn-get_execution_plan.

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 needing to resume a case, but does not explicitly state when to use versus alternatives. No when-not usage or exclusions are provided. Context is implied rather than directed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mstang/casemgr-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server