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pull_reflog_from_cloud

Read cloud reflog entries to see what teammates did from their machines, with optional limits, branch, or artifact type filters.

Instructions

Read entries from the cloud reflog — shows what teammates did from their machines.

Everything in Free, plus calibration that learns your printer, mid-print edits, and unlimited textures and decorations. Requires Kiln Pro. Upgrade: https://kiln3d.com/pricing?src=agent&tool=pull_reflog_from_cloud

Input Schema

NameRequiredDescriptionDefault
limitNoDefault: 100.
branch_idNo
artifact_typeNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.5.0

TDQS

C2.5/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden and largely fails it. 'Read' implies a safe read-only operation, but nothing is said about authentication, rate limits, pagination, or return shape. The 'Requires Kiln Pro' line is a licensing upsell and does not clarify the tool's runtime behavior, and the unrelated feature list ('calibration that learns your printer, mid-print edits...') is noise rather than disclosure.

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

Conciseness2/5

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

The first sentence is well front-loaded and would stand alone as a fine description. It is then followed by three lines of irrelevant promotional content and a pricing URL, which waste tokens and risk confusing the agent about what the tool actually does.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations, no output schema, three parameters, and only 33% schema coverage, the description needs to work harder. Instead it covers only the basic purpose and substitutes marketing text where behavioral and parameter context should be, leaving the definition materially incomplete.

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

Parameters2/5

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

Schema description coverage is only 33% — limit is documented (default 100) while branch_id and artifact_type have no description in either schema or tool description. The description adds zero meaning to any parameter, so an agent is left guessing at the semantics of branch_id and artifact_type.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The opening clause is specific: 'Read entries from the cloud reflog — shows what teammates did from their machines.' It names a clear verb (read), resource (cloud reflog), and scope (teammate activity). It stops short of distinguishing itself from near-siblings like show_reflog, get_reflog_entry, and push_reflog_to_cloud, but the core purpose is unambiguous.

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

Usage Guidelines2/5

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

There is no when-to-use guidance, no prerequisites, and no named alternative to route between pull_reflog_from_cloud and the closely related reflog tools. The remaining text is pricing/upsell copy that offers no invocation 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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