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MCP Server By TestMu AI

Link Jira Issue

tm_link_jira_issue

Link a test case, test run, or a run result (instance) to a Jira issue (requirement / user story / epic / bug) — linked test cases are what give the issue its test coverage and traceability. Linking a result also links its case and run. Requires the Jira integration to be set up for the organization — otherwise a clear "set up Jira first" message is returned.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
issue_idYesJira issue key, e.g. TE-123
entity_idYesId of the case (ULID), run (ULID) or instance (number as string)
entity_typeYesWhat to link

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations declare readOnlyHint=false, destructiveHint=false, and openWorldHint=false, so the safety profile is mostly covered. The description adds non-obvious behavioral context beyond that: linking a result cascades to link its case and run, and it discloses the prerequisite-failure behavior (a clear 'set up Jira first' message).

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

Conciseness4/5

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

Two sentences, front-loaded with the core purpose before the cascade caveat and the prerequisite. Slightly dense but every clause adds meaningful information; no filler.

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 mutation tool with no output schema, the description covers the key behaviors an agent needs: what gets linked, the cascade to case/run, and the failure mode when Jira isn't configured. It omits return-shape details, but those are not essential for correct 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?

Schema description coverage is 100%, with all three parameters documented, so the baseline is 3. The description adds marginal value by clarifying the kinds of Jira issues (requirement/user story/epic/bug) and the entity types, but the ULID/number formats and enum values are already fully specified in the schema.

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?

States a specific verb (link) and the exact resources involved (test case, test run, or run result to a Jira issue), and explains the downstream value (test coverage, traceability). This clearly distinguishes it from the sibling tm_link_ado_issue, which links to a different tracker.

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?

Gives a clear usage context (linking is what creates coverage/traceability) and an explicit precondition: the Jira integration must be set up, otherwise a 'set up Jira first' message is returned. It does not explicitly name the ADO sibling as the alternative path, which keeps it short of a 5.

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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