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Robot Actions — Remote Device Control

Jira create issue

jira_create_issue

Create a new Jira issue. Returns the new issue key and browse URL. ALWAYS confirm with the user before calling — this is a mutating operation. If the user mentions "PROJ-X" they want a comment, not a new issue. Use jira_get_issue first to ensure you have the right project context. Defaults issueType to "Task" if not specified.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelsNoOptional labels to attach. Each label must be a single token (no spaces).
summaryYesShort issue title. Keep under 200 chars; longer summaries get truncated by Jira.
issueTypeNoIssue type name (e.g. "Bug", "Task", "Story"). Defaults to "Task" if omitted. Must match a type available in the target project.
projectKeyYesJira project key (e.g. "ACME", "PROJ"). All uppercase letters/digits/underscore.
descriptionNoIssue body. Plain text — markdown is not interpreted. Convert markdown to plain prose before passing.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false and destructiveHint=false, so the safety profile is known. The description adds genuinely useful non-annotation context: it is mutating and requires user confirmation, and it discloses the return payload (issue key + browse URL). It does not mention auth/permission requirements or failure modes, so it stops short of a 5.

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?

Five short sentences, front-loaded with the action and return value, then the confirmation requirement, then the disambiguation rule, then the prerequisite. Every sentence carries a distinct instruction and none is filler.

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?

For a mutation tool with no output schema, the description covers the action, the return value, the confirmation requirement, the default, and the sibling disambiguation. Nothing an agent needs to invoke this safely is missing.

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%, so all five parameters are already documented with format and constraint details. The description only restates the issueType default ('Task'), which the schema already specifies, so it adds essentially no new parameter meaning. Baseline 3 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?

States a specific verb (Create) and resource (a new Jira issue) and immediately names what it returns (issue key and browse URL). It is trivially distinguishable from siblings jira_get_issue and jira_search, which read rather than create.

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

Usage Guidelines5/5

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

Gives explicit when-to-use and when-not-to-use guidance: confirm with the user first, treat 'PROJ-X' mentions as comment intent rather than issue creation, and call jira_get_issue first to establish project context. This is unusually complete routing guidance.

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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