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Memory Alpha MCP Server

red_shirt_analysis

Assess survival odds for any Star Trek mission scenario. Enter a description of the situation to get a classic redshirt survival analysis.

Instructions

Assess survival odds in classic Trek redshirt style - because someone has to be the away team expendable

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
descriptionYesDescribe the mission or situation (e.g. "Exploring an uncharted planet with strange energy readings")
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It only says 'assess survival odds' but does not explain how the assessment works, what factors influence it, whether it returns a probability, a verdict, or a humorous response, or any limitations. This is a significant transparency gap.

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, memorable sentence that front-loads the action and maintains a strong thematic voice. It is concise, with no fluff, and perfectly sized for a playful tool like this.

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?

For a tool with no output schema, the description should clarify what the agent should expect in return. It does not mention return types, example outcomes, or any caveats about the analysis. While the tool is simple, the description leaves too much to inference and is incomplete for fully informed invocation.

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% for the single parameter, so the baseline is 3. The description adds no parameter-specific information, but the schema already provides a clear description with an example, so the agent can understand the required input without additional explanation.

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 a specific action—'assess survival odds'—and ties it to a memorable Trek theme. It distinguishes itself from sibling tools like battle_simulator by focusing on the 'redshirt' survival concept. However, it lacks explicit scope about what exactly is analyzed or what kind of output is produced, so it doesn't reach a 5.

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?

There is no guidance on when to use this tool versus alternatives, no scenario description, and no mention of any exclusions or prerequisites. For an agent, the description gives no hint about whether this is a standalone fun tool or a serious analysis, leaving it ambiguous.

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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