Skip to main content
Glama
Maxinger15

servarr-analytics-mcp

by Maxinger15

Simulate Score Change

simulate_score_change

Run a dry-run simulation to preview the impact of a proposed score change on release matching, without applying changes.

Instructions

Run a dry-run simulate score change simulation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
toNo
appNo
fromNo
pageNo
limitNo
cursorNo
detailNonormal
fieldsNo
targetNo
groupByNo
pageSizeNo
sampleRecordsNo
proposedChangeNo
Behavior2/5

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

The description labels the operation as a 'dry-run' simulation, implying non-destructiveness, but provides no further behavioral details such as permissions required, response format, or limits. As there are no annotations, the description carries the full burden but offers minimal 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 description is extremely short but under-specified, not concise. The single sentence is redundant and wastes the opportunity to provide essential details.

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?

Given 13 parameters, no schema descriptions, no output schema, and no annotations, the description is completely inadequate. An agent cannot determine valid inputs or expected behavior from this description alone.

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?

With 0% schema description coverage and 13 parameters (including nested objects), the description fails to explain any parameter meaning. The agent has no hints about fields like 'to', 'from', 'target', or 'proposedChange', making correct invocation nearly impossible.

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 score change simulation' is tautological, restating the tool name. It fails to clarify what a 'score change' is or distinguish this from sibling simulation tools like simulate_custom_format_change or simulate_quality_profile_change.

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 prerequisites, context, or scenarios where this simulation is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Maxinger15/servarr-analytics-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server