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qase-tms

Qase MCP Server

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by qase-tms

qql_search

Read-onlyIdempotent

Search test entities across projects using Qase Query Language with powerful filters for cases, defects, results, and runs.

Instructions

Search entities using Qase Query Language (QQL) with powerful filtering and cross-project queries

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results to return (default: 10, max: 100)
queryYesQQL query expression. Examples: - entity = "case" and project = "DEMO" and status = "Actual" - entity = "defect" and severity = "blocker" and status = "open" - entity = "result" and status = "failed" and created >= now("-7d") - entity = "run" and milestone ~ "Sprint 12" See QQL documentation for full syntax and examples.
offsetNoNumber of results to skip for pagination

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalYesTotal matching entities
entitiesYesMatching entities
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint false, covering safety. The description adds QQL and cross-project context but no additional behavioral traits beyond these annotations.

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?

Single sentence, no fluff, front-loaded with action and key features. Every word adds value.

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?

With output schema and detailed annotations, the description is nearly complete. It could mention usage priority but is sufficient for an agent to understand and invoke the tool.

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?

Schema description coverage is 100% with detailed examples for each parameter. The description adds no parameter-specific details beyond the schema, so baseline of 3 is appropriate.

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 it searches entities using QQL with powerful filtering and cross-project queries, distinguishing it from siblings like qql_help or upsert tools.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool over alternatives or when not to use it. The description only explains what it does, not usage context.

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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