ReliaSim

explain_concept

Definitional primer for ReliaSim's framework concepts — Constraint, Buffer, Interrupt, Converter, cascading losses, OEE, Gain/Loss methodology, Buffer Tradeoff. Returns bundled theory content, NOT interpretation of any specific simulation run. Use for 'what is X?' / 'how does X work?' / 'explain the framework' questions. For line-specific claims (throughput, availability, what-if), call the sim tools instead.

Input Schema

TableJSON Schema

Name	Required	Description	Default
`concept`	Yes	Which concept to explain. Returns a definitional primer — theory, not interpretation of a specific simulation run. Use for 'what is a Constraint?' / 'what are cascading losses?' / 'explain Gain-Loss'.	constraint

TDQS

A4.5/5.0

Behavior4/5

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

With no annotations provided, the description carries the transparency burden. It clearly discloses that output is 'bundled theory content, NOT interpretation of any specific simulation run,' which manages expectations about the tool's behavior. It lacks details on output format or side effects, but for a read-only conceptual explainer, this is sufficient.

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?

Two sentences, highly efficient. It front-loads the core purpose, lists supported concepts, clarifies what it does NOT do, gives explicit usage scenarios, and points to alternatives. No wasted words.

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

Completeness5/5

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

Given the tool's simplicity (one enum parameter, no output schema), the description fully covers purpose, scope, exclusions, and alternative tools. It is complete for an agent to select and invoke the tool correctly.

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?

The input schema already provides 100% coverage including an enum and detailed description for the 'concept' parameter. The tool description adds no additional parameter semantics beyond what the schema provides, so the baseline score of 3 applies.

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

Purpose5/5

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

Description states it is a 'Definitional primer' for specific framework concepts, with a clear verb ('explains') and resource (ReliaSim's framework concepts). It explicitly differentiates from sibling sim tools by clarifying it returns theory content, not simulation interpretation, making tool selection unambiguous.

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

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides explicit usage context: 'Use for "what is X?" / "how does X work?" / "explain the framework" questions.' Also gives a clear exclusion and alternative: 'NOT interpretation of any specific simulation run' and 'For line-specific claims... call the sim tools instead.' This is textbook when/when-not guidance.

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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TDQS

A4.5/5.0

Disambiguation5/5

Each tool targets a distinct operation: comparison, concept explanation, bottleneck analysis, facts, narrative, buffer sweep, gain/loss, and live custom runs. Even the experimental tools have clear boundaries (buffer vs interrupt vs custom parameters), so no overlapping purposes exist.

Naming Consistency5/5

All tool names follow snake_case with a verb_noun pattern (compare_chapters, explain_concept, find_bottleneck, get_chapter_facts, get_chapter_narrative, run_buffer_tradeoff, run_gain_loss, run_showcase). While verbs vary, they appropriately reflect the action, and the structure is uniform.

Tool Count5/5

8 tools is within the ideal 3-15 range for a domain-specific server. Each tool earns its place, covering explanation, analysis, comparison, and experiments without redundancy or bloat.

Completeness4/5

The tool set covers conceptual learning, chapter details, bottleneck analysis, comparison, and three types of experiments, which is comprehensive for a simulation analysis server. The only minor gap is the lack of a tool to list available chapters, which could hinder discoverability for agents unfamiliar with the dataset.

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