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QMetry: Fetch Defects or Issues

qmetry_fetch_defects_or_issues
Read-onlyIdempotent

Fetch defects or issues from QMetry projects with automatic viewId resolution. Filter by release, cycle, or entity key, and paginate results.

Instructions

Fetch QMetry defects or issues - automatically handles viewId resolution based on project

Toolset: Issues

Parameters:

  • projectKey (string): Project key - unique identifier for the project (default: "default")

  • baseUrl (string): The base URL for the QMetry instance (must be a valid URL)

  • viewId (number): ViewId for issues - SYSTEM AUTOMATICALLY RESOLVES THIS. Leave empty unless you have a specific viewId. System will fetch project info using the projectKey and extract latestViews.IS.viewId automatically. Manual viewId only needed if you want to override the automatic resolution.

  • start (number): Start index for pagination - defaults to 0 (default: 0)

  • page (number): Page number to return (starts from 1) (default: 1)

  • limit (number): Number of records (default 10). (default: 10)

  • filter (string): Filter criteria as JSON string (default '[]') (default: "[]")

  • isJiraIntegrated (boolean): Send true if current project is Integrated with Jira (default: false)

  • sort (string): Sort Records - refer json schema, Possible property - entityKey, name, typeAlias, stateAlias, createdDate, createdByAlias, updatedDate, updatedByAlias, priorityAlias, createdSystem, linkedTcrCount, linkedRqCount, dfOwner, attachmentCount, environmentText (default: "[{"property":"name","direction":"ASC"}]")

Output Description: JSON object with 'data' array containing issues and pagination info

Use Cases: 1. List all issues in a project 2. Search for specific issues using filters 3. Get paginated issue results

Examples:

  1. Get all issues from default project - system will auto-fetch viewId

{}

Expected Output: List of issues from default project with auto-resolved viewId

  1. Get all issues from UT project - system will auto-fetch UT project's viewId

{
  "projectKey": "UT"
}

Expected Output: List of issues from UT project using UT's specific IS viewId

  1. Get issues with manual viewId (skip auto-resolution)

{
  "projectKey": "MAC",
  "viewId": 166065
}

Expected Output: Issues using manually specified viewId 166065

  1. List issues from specific project (ex: project key can be anything (VT, UT, PROJ1, TEST9)

{
  "projectKey": "use specific given project key",
  "viewId": "fetch specific project given projectKey defects or issues ViewId"
}

Expected Output: Issues using manually specified viewId 103097 or projectKey

  1. Get issues by release/cycle filter

{
  "projectKey": "MAC",
  "filter": "[{\"value\":[55178],\"type\":\"list\",\"field\":\"release\"},{\"value\":[111577],\"type\":\"list\",\"field\":\"cycle\"}]"
}

Expected Output: Issues associated with Release 8.12 (ID: 55178) and Cycle 8.12.1 (ID: 111577)

  1. Get issues by release only

{
  "projectKey": "MAC",
  "filter": "[{\"value\":[55178],\"type\":\"list\",\"field\":\"release\"}]"
}

Expected Output: All defects or issues associated with Release 8.12 (ID: 55178)

  1. Get issues by cycle only

{
  "projectKey": "MAC",
  "filter": "[{\"value\":[111577],\"type\":\"list\",\"field\":\"cycle\"}]"
}

Expected Output: All defects or issues associated with Cycle 8.12.1 (ID: 111577)

  1. Search for specific issue by entity key

{
  "projectKey": "MAC",
  "filter": "[{\"type\":\"string\",\"value\":\"MAC-IS-636\",\"field\":\"entityKeyId\"}]"
}

Expected Output: Issues matching the entity key criteria

  1. Search for multiple defects or issues by comma-separated entity keys

{
  "projectKey": "MAC",
  "filter": "[{\"type\":\"string\",\"value\":\"MAC-IS-636,MAC-IS-637,MAC-IS-638\",\"field\":\"entityKeyId\"}]"
}

Expected Output: Issues matching any of the specified entity keys

Hints: 1. CRITICAL WORKFLOW: Always use the SAME projectKey for both project info and issues fetching 2. Step 1: If user specifies projectKey (like 'UT', 'MAC'), use that EXACT projectKey for project info 3. Step 2: Get project info using that projectKey, extract latestViews.IS.viewId 4. Step 3: Use the SAME projectKey and the extracted IS viewId for fetching issues 5. Step 4: If user doesn't specify projectKey, use 'default' for both project info and issues fetching 6. NEVER mix project keys - if user says 'MAC project', use projectKey='MAC' for everything 7. For search by issues key (like MAC-IS-1684), use filter: '[{"type":"string","value":"MAC-IS-1684","field":"entityKeyId"}]' 8. RELEASE/CYCLE FILTERING: Use release and cycle IDs, not names, for filtering 9. For release filter: '[{"value":[releaseId],"type":"list","field":"release"}]' 10. For cycle filter: '[{"value":[cycleId],"type":"list","field":"cycle"}]' 11. For combined release+cycle: '[{"value":[releaseId],"type":"list","field":"release"},{"value":[cycleId],"type":"list","field":"cycle"}]' 12. Get release/cycle IDs from FETCH_RELEASES_AND_CYCLES tool before filtering 13. FILTER FIELDS: name, stateAlias, typeAlias, entityKeyId, createdDate, createdByAlias, updatedDate, updatedByAlias, createdSystem, dfOwner, priorityAlias, linkedTcrCount, linkedRqCount, attachmentCount, componentAlias, environmentText 14. SORT FIELDS: entityKey, name, typeAlias, stateAlias, createdDate, createdByAlias, updatedDate, updatedByAlias, priorityAlias, createdSystem, linkedTcrCount, linkedRqCount, dfOwner, attachmentCount, environmentText 15. For multiple entity keys, use comma-separated values in filter 16. Use pagination for large result sets (start, page, limit parameters) 17. This tool is essential for defect management and issue tracking 18. Critical for quality assurance and defect lifecycle analysis 19. Use for compliance reporting and issue traceability 20. Helps maintain visibility into project defects and issues

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number to return (starts from 1)
sortNoSort Records - refer json schema, Possible property - entityKey, name, typeAlias, stateAlias, createdDate, createdByAlias, updatedDate, updatedByAlias, priorityAlias, createdSystem, linkedTcrCount, linkedRqCount, dfOwner, attachmentCount, environmentText[{"property":"name","direction":"ASC"}]
limitNoNumber of records (default 10).
startNoStart index for pagination - defaults to 0
filterNoFilter criteria as JSON string (default '[]')[]
viewIdNoViewId for issues - SYSTEM AUTOMATICALLY RESOLVES THIS. Leave empty unless you have a specific viewId. System will fetch project info using the projectKey and extract latestViews.IS.viewId automatically. Manual viewId only needed if you want to override the automatic resolution.
baseUrlNoThe base URL for the QMetry instance (must be a valid URL)
projectKeyNoProject key - unique identifier for the projectdefault
isJiraIntegratedNoSend true if current project is Integrated with Jira
Behavior5/5

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

Adds extensive detail beyond annotations, including automatic viewId resolution, pagination behavior, output structure ('data' array with pagination info), and cautions about project key consistency. All behavioral traits are well-documented.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with sections but overly verbose, containing 9 examples and 20 hints that are partially redundant. Length is justified but could be more concise.

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 complexity (9 params, no output schema), the description covers all aspects: parameter behavior, workflow, filtering, pagination, and multiple use cases. Examples and hints leave little ambiguity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Despite 100% schema coverage, the description adds substantial value with parameter caveats (e.g., viewId auto-resolution), example filter/sort formats, and 20 hints that clarify usage. The examples illustrate non-obvious parameter combinations.

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 'Fetch QMetry defects or issues', specifies automatic viewId resolution, and differentiates from sibling tools like create/update/delete via the 'Fetch' verb and readOnly annotations. Examples further clarify the scope.

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 includes a 'Use Cases' section, 'Hints' with critical workflow steps, and detailed examples for various scenarios. However, it does not explicitly list when to avoid this tool or compare it to other fetch tools, missing some guidance on alternatives.

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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