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Maxinger15

servarr-analytics-mcp

by Maxinger15

Simulate Storage Savings

simulate_storage_savings

Run a dry-run simulation to estimate storage savings from proposed configuration changes in Sonarr, Radarr, or Prowlarr. See potential space reclamation without making actual changes.

Instructions

Run a dry-run simulate storage savings simulation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNo
appNo
fromNo
pageNo
limitNo
cursorNo
detailNonormal
fieldsNo
targetNo
groupByNo
pageSizeNo
sampleRecordsNo
proposedChangeNo
Behavior1/5

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

No annotations are present, and the description offers minimal behavioral insight; 'dry-run' is mentioned but not explained (e.g., no changes made, no side effects). No details on safety, permissions, or data impact.

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 description is extremely short but wastes words on repetition ('simulate ... simulation'). It is not front-loaded; the entire content is circular and uninformative.

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

Completeness1/5

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

With 13 parameters, nested objects, no output schema, and no annotations, the description is critically insufficient. It fails to explain what the tool returns, how to interpret results, or how it differs from related tools.

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

Parameters1/5

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

Schema description coverage is 0%, and the description provides no information about the 13 parameters (e.g., 'to', 'app', 'proposedChange'). The user cannot infer parameter purpose, types, or relationships from the description.

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

Purpose2/5

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

The description 'Run a dry-run simulate storage savings simulation' is vague and tautological. It only restates the tool name without specifying what resources or parameters are involved, and fails to distinguish from siblings like 'estimated_storage_savings' or 'simulate_storage_growth'.

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

Usage Guidelines1/5

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. With many sibling simulation tools, the description lacks any context for selection or prerequisites.

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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