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aidenappl
by aidenappl

lattice_get_database_lifecycle_logs

Retrieve lifecycle logs for a database container to monitor provisioning progress and identify the reason for any creation failures.

Instructions

Get worker-emitted lifecycle messages for a database container, including provisioning progress and the reason a create failed

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesDatabase instance ID
limitNoMax entries to return
Behavior2/5

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

No annotations exist, so the description must disclose behavioral traits. It mentions the tool returns lifecycle messages with specific content (provisioning progress, failure reasons) but does not indicate whether it is read-only, what permissions are needed, or if there are rate limits or side effects. Minimal transparency beyond basic purpose.

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 a single, well-structured sentence (17 words) that efficiently conveys the tool's purpose. No extraneous words or repetition.

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?

Given no output schema and no annotations, the description should provide more context about return format, pagination, or relationship to sibling tools. It omits details on the structure of lifecycle messages (e.g., timestamps, levels) and how this differs from lattice_get_database_events or lattice_get_database_logs. Overall incomplete.

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?

The input schema covers 100% of parameters (id, limit). The description adds context about returned content but does not elaborate on parameter semantics beyond what the schema provides. Baseline 3 is appropriate as the description adds marginal value.

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 the tool retrieves worker-emitted lifecycle messages for a database container, specifying the content includes provisioning progress and failure reasons. This distinguishes it from sibling tools like lattice_get_database_logs (general logs) and lattice_get_container_lifecycle (non-database lifecycle).

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of when not to use it (e.g., for non-database containers) or how it differs from similar tools like lattice_get_database_events or lattice_get_container_lifecycle.

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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