Fantasy World MCP Simulator

by DangerBlack

Overview Schema Related Servers Score Discussions

TypeScript

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Server Quality Checklist

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Latest release: v1.0.0
Disambiguation5/5
Each tool targets a distinct resource and action, such as listHeroes vs getHero and assignHeroToQuest vs completeQuest. There is no overlap in functionality.
Naming Consistency5/5
All tool names follow a consistent verb-first camelCase pattern (e.g., listWorlds, initializeWorld, generateLocation). Even 'simulate' aligns with the verb-first style, and there is no mixing of conventions.
Tool Count5/5
15 tools is within the recommended range and each tool serves a clear purpose in managing the world simulation, from lifecycle operations to content generation and quest handling. No tool is redundant.
Completeness3/5
The toolset covers world lifecycle well but has significant gaps: no create/list/delete for quests, and locations/crafts have create-only operations without corresponding read tools. Agents must rely on getWorldState to indirectly access these resources.
Average 3.3/5 across 15 of 15 tools scored. Lowest: 2.4/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
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}
```
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How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden but adds nothing beyond the tool name—it's essentially a tautology ('Get current state of a world' restates 'getWorldState'). No mention of side effects, return format, or read-only nature.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The single sentence is concise and front-loaded, though its brevity crosses into under-specification.
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 and no annotations, the description should explain what 'state' includes and how the year parameter affects the result; it omits both, leaving the agent to guess the return value.
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 covers both parameters with descriptions, so the 100% coverage sets a baseline of 3; the description adds no additional parameter context.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose3/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear verb and resource ('Get current state of a world'), but 'current' conflicts with the optional 'year' parameter for historical snapshots, and it doesn't distinguish from sibling getters like getHero or getTimeline.
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 on when to use this tool instead of alternatives like getTimeline or getHero; the use case is implied but not stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations and no additional description, the tool's side effects are completely undisclosed. It does not state whether the simulation mutates the world state, whether it is reversible, what triggers are needed, or what the response contains. For a simulation tool, 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.
Conciseness2/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence and technically concise, but it is underspecified to the point of being unhelpful. It lacks necessary details about behavior and usage, so it is not 'appropriately sized' for a tool with this complexity.
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 has 7 parameters, no annotations, and no output schema, the description must carry significant burden. It fails to explain what simulation does, how parameters like stepSize and complexity affect the outcome, or what happens to the world state. The schema descriptions are insufficient without contextual behavior.
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 description coverage is 100%, with all seven parameters having descriptive text. The description itself adds no parameter information, but since the schema fully documents parameters, a baseline score of 3 is appropriate.
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 'Run simulation forward in time' clearly states the action (Run) and resource (simulation), with a temporal scope. However, it does not differentiate from siblings like getTimeline or getWorldState, which could be confused for retrieving simulation results.
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 such as getTimeline or initializeWorld. There are no prerequisites, exclusions, or examples of appropriate use cases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are absent, so the description carries the full burden. It mentions output formats but does not disclose whether the operation is read-only, whether it returns data directly, or whether it has side effects such as generating files or requiring specific permissions.
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 sentence with no filler and front-loads the action. It is appropriately sized for the tool's straightforward purpose.
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?
With no annotations and no output schema, a one-line description leaves significant gaps: what 'world data' includes, what each format produces, and the shape of the result. The schema covers parameters, but overall tool behavior is under-specified.
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?
All four parameters have descriptions in the input schema, so the baseline is 3. The description adds no additional parameter meaning beyond the schema, though 'various formats' loosely aligns with the format enum.
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 uses a specific verb ('Export') and resource ('world data'), clearly indicating the tool's purpose. It does not explicitly differentiate from sibling tools, but 'export' is unique among them, so the action is identifiable.
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 about when to use this tool versus alternatives like listWorlds or getWorldState. The description only states the operation, leaving the agent to infer its appropriate context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations are absent, and the description provides no behavioral disclosure about the delete operation: it is silent on permanence, cascading deletion of associated data (heroes, quests, timeline), failure modes, or any side effects. For a destructive tool, this is a critical gap that leaves the agent without essential risk awareness.
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 concise sentence 'Delete a world' that entirely fulfills the purpose without superfluous content. Every word earns its place, making it highly efficient.
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?
Despite the tool's structural simplicity, the description is incomplete for a destructive operation. It lacks critical context about the irreversible nature of deletion, the scope of what is removed, and error conditions (e.g., world not found). An agent cannot fully assess the side effects of invoking this tool, making it insufficiently complete.
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 has 100% coverage with a clear description for the single required parameter 'worldId'. The description adds no additional semantic meaning beyond what the schema already provides; 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?
The description 'Delete a world' clearly states the action (delete) and resource (world), distinctly differentiating it from sibling tools like listWorlds, loadWorld, or getWorldState. The verb and object are explicit and unambiguous.
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, nor are there any warnings about prerequisites or consequences (e.g., cannot delete a world with active quests). The description relies solely on the tool name to imply usage, offering no contextual or exlusionary information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full responsibility for disclosing behavioral traits. The verb 'get' implicitly suggests a read operation, but the description does not explicitly state that it is read-only, nor does it mention error behavior, auth requirements, or the structure of the returned detailed information. This is a 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence with no wasted words. It is front-loaded with the action and resource, making it easy to parse. There is no repetitive or extraneous content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read tool with two well-documented parameters, the description is adequate but not thorough. Since there is no output schema, the vague 'detailed information' leaves the return format undisclosed. The lack of explanation about how worldId contextualizes the hero is another gap, but overall the tool's simplicity keeps it from being severely incomplete.
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 has 100% coverage for both parameters (heroId described as 'Hero ID to retrieve' and worldId as 'World ID'). The description does not add significant meaning beyond what the schema provides, such as explaining why both are needed or their relationship. Since schema coverage is high, the baseline is 3, and the description merely reinforces the heroId purpose.
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 'Get detailed information about a specific hero' clearly states the action (get) and resource (hero), and specifies it's for a specific hero, distinguishing it from list-level operations like listHeroes. However, it lacks explicit sibling differentiation and the term 'detailed information' is somewhat vague about what exactly will be returned.
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?
The description provides no guidance on when to use this tool versus alternatives like listHeroes or getWorldState. It does not explain the context in which a specific hero ID is known or how the worldId parameter relates to the lookup, leaving the agent to infer usage from the names alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It only states the action without revealing side effects (e.g., updating hero status, potential conflicts), validation rules, or error conditions. Significant transparency gap for a mutation tool.
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 sentence that front-loads the action and contains zero wasted words. It is appropriately concise, matching the simplicity of the operation.
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 absence of annotations and output schema, the description is too sparse. It does not explain relationships between worldId, questId, and heroId, nor what the result of the operation is. Incomplete for effective 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?
The input schema covers all three parameters with descriptions (100% coverage), so the baseline is 3. The tool description adds no extra parameter-level semantics beyond the schema text.
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?
The description uses a specific verb ('assign') and clearly identifies the resource (hero) and target (open quest). It distinguishes from sibling tools like completeQuest and listHeroes, making the tool's function unambiguous.
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. It does not mention prerequisites (e.g., hero availability, quest open status) or exclude cases like completing a quest. Implied usage only, no explicit criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of disclosing behavior. It does not mention whether the operation is read-only, what the return value looks like, or any ordering or filtering semantics. This is a significant gap for a tool that likely returns data.
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, front-loaded sentence with zero waste. It communicates the core purpose efficiently and is appropriately sized for the tool's simplicity.
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?
There is no output schema and no annotations, so the description must explain what the tool returns and how filters behave. It does neither, leaving the agent without sufficient context to predict the tool's output or edge cases.
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 each parameter (worldId, startYear, endYear) having a description, so the baseline is 3. The description adds almost nothing beyond the schema; 'for a world' merely echoes the worldId parameter.
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?
The description uses a specific verb ('Get') and resource ('timeline of events') with a clear scope ('for a world'). This distinguishes it from sibling tools like getWorldState or listWorlds, making the purpose immediately understandable.
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, nor any mention of context such as filtering or prerequisites. The description simply states the action without usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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 behavioral disclosure. It does mention the mandatory inclusion of all fields and empty resources, but fails to disclose side effects, persistence, whether the world is immediately active, or what the return value is. This is a minimal level of transparency.
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 extremely concise and front-loaded, with the core purpose in the first clause and a critical requirement following. Every word earns its place, and there is no extraneous information.
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 complexity of the schema (9 parameters, nested objects) and no output schema, the description is incomplete. It lacks context about the tool's role in the simulation lifecycle, how it relates to sibling tools like simulate or loadWorld, and what the caller should expect. An agent would need to make assumptions about return values and prerequisites.
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 schema provides 100% description coverage for all 9 parameters, so the baseline is 3. The description's emphasis on including resources:{} is redundant since the schema already states 'REQUIRED: Include even if empty {}.' No additional semantic value is added.
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?
The description clearly states the tool's function with a specific verb and resource: 'Create a new world simulation.' This distinguishes it from sibling tools like loadWorld, listWorlds, or simulate, which operate on existing worlds or advance simulation.
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?
The description provides no explicit guidance on when to use this tool versus alternatives. It only offers a parameter requirement (include all fields), which is an invocation detail, not usage context. No mention of 'use this to initialize a world before simulating' or any exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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 side effects and behaviors. It only states the action and creative guidance, omitting important details like prerequisites, persistence, required relationships, or what the response contains. This leaves significant behavioral aspects undisclosed.
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 two sentences, with the core action front-loaded in the first sentence and practical AI guidance in the second. It is efficient and free of unnecessary fluff, achieving perfect conciseness.
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 complex creation tool with 11 parameters (7 required) and no output schema or annotations, this description is insufficient. It fails to explain overall behavior, prerequisites like the existence of the world or population, return value, or side effects. The schema covers individual parameters but not the operational context.
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 schema provides thorough descriptions for all 11 parameters (100% coverage), placing the baseline at 3. The description adds slight value by instructing AI to generate creative names and descriptions, which guides the 'name' and 'description' parameters, but it does not further clarify the other parameters beyond schema.
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?
The description clearly states 'Create a new craft/item/heritage object' with examples like magical items, weapons, books, artifacts, which identifies the action and resource specifically. This distinguishes it from sibling tools such as listWorlds or completeQuest, which have different purposes.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for creating new craft items and instructs AI to generate creative names/descriptions, but it does not explicitly discuss when to use this tool versus alternatives or when not to use it. The context is present but not detailed enough to provide clear exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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. It only says 'Generate' which implies mutation but does not disclose whether the location persists, what side effects occur, or any prerequisites like having a valid worldId. The phrase 'based on world context' is vague and does not explain behavioral details.
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, front-loaded sentence with no extra words. It effectively communicates the core action and examples.
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?
The tool lacks an output schema and annotations, so the description needs to explain return values and side effects. It does not state what the generated location looks like, whether it is stored, or that valid worldId is required. This leaves significant gaps for an agent to use the tool confidently.
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 schema provides full descriptions for all four parameters (100% coverage). The tool description adds mild value by suggesting that worldId contributes world context for generation, going beyond the schema's bare 'World ID.' However, it does not elaborate on the name or description parameters, so the additional semantic value is limited.
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?
The description uses the specific verb 'Generate' with the resource 'location' and provides examples (dungeon, city, etc.), clearly distinguishing it from sibling tools that handle heroes, worlds, and quests. It clearly states the tool creates a new location within a world context.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is for creating locations but provides no explicit guidance on when to use it versus alternatives or when not to use it. There are no sibling generation tools, but no direct comparison is given, so the usage context is only implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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 behavioral disclosure. It adds that heroes (AI-controlled) or players can complete quests, but does not disclose side effects, state transitions, return values, or any prerequisites. For a mutation tool, this is a notable 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 two sentences with no filler. The first sentence states the action, and the second provides useful context about who can invoke the tool. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has 5 parameters, no output schema, and no annotations, yet the description is minimal. It covers the core action and actor, but omits side effects, return behavior, and prerequisites. The description is adequate for a simple state transition but leaves noticeable context gaps for a mutation tool.
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 description coverage is 100%, so the schema already documents all parameters clearly. The description adds minimal semantic value beyond the schema; it frames the action as completed/failed, which aligns with the 'success' parameter but does not elaborate on failureReason or completionNotes. Baseline 3 is appropriate.
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?
The description uses a specific verb ('Mark') and a clear resource ('a quest'), and explicitly states the two possible outcomes: completed or failed. This distinguishes it from sibling tools like assignHeroToQuest, which handles quest assignment rather than completion.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use the tool (when a quest needs to be marked as completed or failed) and notes that both heroes and players can perform this action. However, it does not provide explicit when-not-to-use guidance or mention alternatives, leaving the usage context somewhat implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the full behavioral disclosure. It states a read-only listing operation but does not describe the return format (e.g., names, IDs, full objects), ordering, pagination, or any side effects. The agent is left without crucial behavioral context.
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, concise sentence with zero wasted words. It is appropriately sized for a zero-parameter tool and front-loads the core action and resource.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is functionally adequate for a simple list tool, but without an output schema, it does not explain what the response contains. Adding return format details (e.g., world names vs. full world objects) would make it more complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and schema coverage is 100% (trivially). The description adds no parameter details because none exist, so the baseline of 4 applies. No further compensation is required.
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?
The description clearly states a specific verb ('list') and resource ('all created worlds'), which differentiates it from siblings like listHeroes (heroes) and getWorldState (world state). It is unambiguous and immediately understood.
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 given on when to use this tool versus alternatives. There is no mention of exclusions, preconditions, or which sibling tools to prefer for similar tasks. The context of siblings like exportWorld or getWorldState is not addressed.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. The description does not mention that loading likely overwrites the current world state, whether the JSON is validated, or what happens after loading (e.g., confirmation or errors). It only states the action without side effects, which is a significant gap for a state-changing tool.
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 only two sentences, front-loaded with the primary action, and includes a practical usage tip. Every word is purposeful, with no redundant information. This is a model of conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple with only one parameter and a well-described schema. However, the lack of annotations and an output schema means the description must compensate. It covers purpose and usage but omits behavioral effects like overwriting the current context or error handling. Overall, it is minimally complete but with clear gaps in side-effect disclosure.
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 schema description provides 100% coverage, describing the parameter as 'Full JSON data of the world (copy from previous getWorldState or exportWorld result).' This gives clear guidance on what to pass and where to get it. Since the schema already handles the semantics, the description does not need to add more, earning the baseline score of 3.
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?
The description clearly states the tool's function: 'Load a world from previously saved JSON data.' The verb 'load' and resource 'world' are specific, and the source (previously saved JSON data) distinguishes it from sibling tools like initializeWorld (create new) and getWorldState (read current state). The additional context 'resuming a world from AI context' further clarifies its purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly states when to use the tool: 'Use this when resuming a world from AI context.' This provides a clear context for usage. However, it does not explicitly mention alternatives or when not to use it, though sibling tools imply alternatives. The missing exclusions prevent a score of 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the transparency burden. It discloses a key prerequisite ('existing world' and 'after world creation') and notes that monsters are included. However, it doesn't explain behavior on invalid worldId, duplicate population names, whether populations are appended, or any side effects. Some context is provided, but significant gaps remain.
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 two sentences, with the action and object front-loaded. Every part earns its place: it names what the tool does, gives examples, and provides a usage condition. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With 9 parameters, 6 required, and no output schema, the description could provide more context about what happens on success/failure, error conditions, or return values. It adequately explains purpose and usage but lacks necessary behavioral details for a creation tool with no annotations to fall back on.
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 provides descriptions for all 9 parameters (100% coverage), so the schema already defines the meaning of each field. The tool description adds no extra parameter-level detail beyond confirming monster support, which is already present in the schema. Baseline 3 is appropriate given high schema coverage.
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?
The description clearly states the action ('Add a new population') and the target resource ('to an existing world'), with concrete examples (orcs, elves) and explicit scope ('including monsters'). This distinguishes it from sibling tools that focus on heroes, worlds, quests, and simulations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description includes usage context: 'after world creation' and examples like 'add orcs, elves, etc.' This implies it is for populating existing worlds, not for initial world setup. While it doesn't name alternatives, no sibling tools handle populations, so the guidance is sufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full disclosure burden. It states the operation is a listing with an optional filter, which is transparent about the basic behavior. However, it doesn't disclose response format, ordering, pagination, or any side effects, making it minimally sufficient for a read-only list.
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 sentence that front-loads the action and scope, containing no filler or redundant information. Every word serves a purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (2 params, no output schema), the description covers the core purpose and filtering capability. It doesn't specify return fields, but for a straightforward listing tool this is an acceptable gap, especially with a well-documented schema.
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 descriptive parameter comments. The tool description only repeats the status filter concept, adding no additional meaning beyond what the schema already provides, so it meets the baseline for high schema coverage.
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?
The description uses the specific verb 'list', identifies the resource 'heroes' within a world, and mentions an optional status filter. It clearly distinguishes itself from siblings like getHero (single hero) and listWorlds (different resource).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when you need a collection of heroes in a world, with optional filtering. It does not explicitly provide alternatives or exclusions, but the context is clear enough for an agent to select this tool over getHero or listWorlds.
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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