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analyze_deployments

Analyze deployment patterns and generate insights from historical data. Get full reports, SSG stats, comparisons, health scores, or trends over time.

Instructions

Analyze deployment patterns and generate insights from historical deployment data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
analysisTypeNoType of analysis: full_report (comprehensive), ssg_stats (per-SSG), compare (compare SSGs), health (deployment health score), trends (temporal analysis)full_report
ssgNoSSG name for ssg_stats analysis
ssgsNoArray of SSG names for comparison
periodDaysNoPeriod in days for trend analysis
Behavior2/5

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

Without annotations, the description must disclose behavioral traits but only states a high-level purpose. It does not indicate read-only nature, required permissions, data dependencies, or side effects. The schema covers parameter details but not behavior.

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 is a single sentence, concise but lacking structure. It does not front-load key differentiators or use cases. Some verbosity could be excised, but it is not overly long.

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 the tool's complexity (4 parameters, multiple analysis types) and no output schema, the description is insufficiently complete. It does not explain how analysis types differ, what insights are generated, or how it relates to sibling deployment tools.

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?

Schema coverage is 100% with detailed parameter descriptions (e.g., analysisType enum values and meanings). The tool description adds no additional semantic value beyond the schema, meeting the baseline for high coverage.

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 verb 'analyze' and resource 'deployment patterns' from 'historical data'. It distinguishes from sibling analysis tools focused on documentation (e.g., analyze_readme). However, the description remains generic and could more precisely specify the scope (SSG-specific, health, etc.).

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 like verify_deployment or deploy_site. There are no prerequisites, context, or exclusions mentioned.

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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