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Facets-cloud

Facets Module MCP Server

by Facets-cloud

get_deployment_logs

Retrieve deployment logs by providing cluster ID and release trace ID. Get JSON-formatted output for troubleshooting deployments.

Instructions

Get logs for a specific deployment.

Args: cluster_id (str): The ID of the environment where the deployment is running release_trace_id (str): The release trace ID of the deployment to get logs for

Returns: str: JSON with deployment logs

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cluster_idYes
release_trace_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description must disclose behavioral traits. It only states 'Get logs' without mentioning read-only nature, authentication requirements, rate limits, or potential side effects.

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

Conciseness3/5

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

The description includes an Args and Returns section which is structured but could be more concise. It is not overly verbose but could be tightened to a single sentence.

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

Completeness3/5

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

The description is complete enough given the two simple parameters and presence of an output schema. However, it does not cover potential errors, permissions, or limitations.

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 input schema has 0% description coverage, so the description's Args section adds crucial meaning: 'cluster_id' is the environment ID and 'release_trace_id' is the deployment's release trace ID, beyond the schema's minimal labels.

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 description clearly states the tool retrieves logs for a deployment, distinguishing it from sibling tools like check_deployment_status which checks status.

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 on when to use this tool versus alternatives such as check_deployment_status. The description does not mention any prerequisites or exclusion criteria.

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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