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marco-looy

Pega DX MCP Server

by marco-looy

release_case_lock

Release pessimistic locks on Pega cases to cancel operations and clean up cached updates, ensuring system resources are freed when case modifications are abandoned.

Instructions

Release pessimistic lock on a Pega case and clean up any cached or pending updates. Used when canceling case operations that require locking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
caseIDYesCase ID. Example: "MYORG-APP-WORK C-1001". Complete identifier including spaces."OSIEO3-DOCSAPP-WORK T-561003". a complete case identifier including spaces and special characters.
viewTypeNoUI resources to return. "none" returns no view metadata or fields (default), "page" returns the full page UI metadata.none
sessionCredentialsNoOptional session-specific credentials. If not provided, uses environment variables. Supports two authentication modes: (1) OAuth mode - provide baseUrl, clientId, and clientSecret, or (2) Token mode - provide baseUrl and accessToken.
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes the primary action (releasing locks) and secondary cleanup, but doesn't mention authentication requirements, potential side effects on other operations, or what happens if the case isn't locked. It provides some context but lacks comprehensive behavioral details.

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 perfectly concise with two sentences that each earn their place. The first sentence states the core functionality, and the second provides usage context. No wasted words or redundant information.

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

Completeness3/5

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

For a mutation tool with no annotations and no output schema, the description provides basic purpose and usage context but lacks details about return values, error conditions, or system behavior. Given the complexity of the input schema (with nested authentication objects), more comprehensive documentation would be helpful.

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?

With 100% schema description coverage, the schema already documents all parameters thoroughly. The description doesn't add any parameter-specific information beyond what's in the schema. The baseline score of 3 reflects adequate but not enhanced parameter documentation.

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 specific action ('Release pessimistic lock on a Pega case') and resource ('case'), distinguishing it from siblings like 'get_case' or 'update_case'. It also mentions the secondary action of cleaning up cached/pending updates, which adds specificity beyond just unlocking.

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 clear context for when to use this tool ('when canceling case operations that require locking'), which helps differentiate it from general case management tools. However, it doesn't explicitly state when NOT to use it or name specific alternative tools for related operations.

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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