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Avicennasis

redmine-mcp-workflows

by Avicennasis

redmine_bulk_create_time_entries

Create up to 100 Redmine time entries in one call, with pacing and stop-on-error controls to avoid rate limits and report created, failed, or skipped entries.

Instructions

Create several time entries in one call (≤ 100).

Args: time_entries_specs: list of dicts; each accepts the same fields as redmine_create_time_entry (hours required, rest optional). pacing_seconds: sleep between POSTs (default 50ms) to avoid the per-issue rate cap; 0 disables. stop_on_error: stop at the first failure; the remainder is reported under skipped_for_stop_on_error.

Returns {results, summary: {total, created, failed, skipped}, skipped_for_stop_on_error}. Honors REDMINE_MCP_READ_ONLY.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stop_on_errorNo
pacing_secondsNo
time_entries_specsYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.1.0

TDQS

A4.3/5.0
Behavior4/5

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

With no annotations, the description carries the burden well: it discloses the per-issue rate cap and how pacing_seconds addresses it, that 0 disables pacing, how stop_on_error truncates the run and surfaces skipped_for_stop_on_error, and that REDMINE_MCP_READ_ONLY is honored. It does not state whether already-created entries are rolled back on failure or what permissions are required beyond the read-only flag.

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?

Front-loaded with the purpose, then parameter docs, then return shape — everything earns its place. The Returns sentence is mildly redundant given an output schema exists, but it is short.

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?

Covers params, pacing behavior, failure semantics and env-var gating for a multi-write tool, and the return structure is at least summarised. Missing only transactional/atomicity guarantees and permission requirements, which an agent would need before a large batch write.

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?

Schema description coverage is 0%, and the description fully compensates: it defines all three params including types, the 50ms default and the 0-disables sentinel for pacing_seconds, plus the ``hours`` required field. The nested dict schema is delegated to redmine_create_time_entry rather than spelled out, which leaves a small gap.

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 and resource with scope: "Create several time entries in one call (≤ 100)." The batch framing plus the 100-item cap separates it from the singular redmine_create_time_entry without requiring a schema read.

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 clear qualifying context: batch creation, hard cap of 100, and the fields mirror redmine_create_time_entry. It does not explicitly say to prefer redmine_create_time_entry for a single entry or what to do past the 100 cap, so it falls short of naming alternatives and exclusions.

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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