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luizeduul

jira-worklog-mcp

by luizeduul

jira_log_work_batch

Batch log multiple Jira worklogs at once, automatically skipping duplicates already logged for the same time, and get per-entry confirmation.

Instructions

Logs multiple worklogs. entries: list of {issue_key, time_spent, started?, comment?}. issue_key may be 'daily' to log into the configured monthly bucket (JIRA_DAILY_JQL). By default, entries that already have a worklog at the same date/time are skipped and returned for confirmation. Reports each row result.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
entriesYesList of {issue_key, time_spent, started?, comment?}. issue_key may be 'daily'.
skip_duplicatesNoSkip entries already logged at the same date/time.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations provided, the description carries full burden. It discloses key behaviors: skipping duplicates by default and returning them for confirmation, plus the 'daily' bucket mapping. It doesn't state whether it's a mutating operation, but 'Logs' clearly implies a write, and the disclosure of duplicate skipping is valuable context.

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 concise (three sentences) and front-loads the core purpose. Each sentence adds necessary detail: purpose, entry format with optional fields, special 'daily' handling, and default duplicate behavior. No wasted words.

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?

An output schema exists, so return format need not be explained. The description covers the main operational aspects: batching, duplicate handling, special bucket, and per-row reporting. It doesn't discuss edge cases like partial failures, but the provided details are adequate for a tool of this complexity.

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

Parameters4/5

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

The schema covers both parameters well (100% coverage), but the description adds meaning beyond the schema by explaining the default skip behavior and the 'daily' sentinel for issue_key. This extra detail helps the agent understand the exact semantics of entries and skip_duplicates.

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 'Logs multiple worklogs' with a specific verb and resource, and distinguishes itself from the sibling jira_log_work by emphasizing batch operation. The special 'daily' bucket behavior further clarifies its unique 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 implies use for multiple worklogs and explains the 'daily' special case, providing clear context. It doesn't explicitly contrast with jira_log_work, but the batch vs single distinction is implicit and sufficient for an agent to select appropriately.

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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