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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the tool 'builds' encounters but doesn't describe what the output looks like (monster list? CR distribution? XP total?), whether it's deterministic or random, or any limitations (e.g., only uses official monsters). The description is functional but lacks important behavioral context for a generation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence that efficiently communicates the core purpose with zero waste. Every word earns its place: 'build' (action), 'balanced D&D 5E encounter' (resource), 'using monsters by CR' (method), 'for specified party' (context). No redundant information or unnecessary elaboration.

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

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

For a generation tool with 8 parameters, no annotations, and no output schema, the description is adequate but incomplete. It states what the tool does but doesn't address output format, generation logic, or limitations. Given the complexity and lack of structured behavioral information, the description should provide more context about what 'building' entails and what results to expect.

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

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

Schema description coverage is 100%, so the schema already fully documents all 8 parameters. The description adds no additional parameter semantics beyond what's in the schema - it doesn't explain relationships between parameters (e.g., how party_size and party_level combine) or provide usage examples. Baseline 3 is appropriate when schema does all the work.

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

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

The description clearly states the specific action ('build'), resource ('balanced D&D 5E encounter'), and method ('using monsters by CR for specified party'). It distinguishes from siblings like 'calculate_encounter_difficulty' (which analyzes rather than builds) and 'get_monsters_by_cr' (which retrieves rather than constructs encounters).

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

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

The description implies usage context (when you need to create an encounter for a D&D party), but doesn't explicitly state when to use this tool versus alternatives like 'calculate_encounter_difficulty' or 'get_monsters_by_cr'. It mentions 'balanced' and 'by CR' which gives some directional guidance but lacks explicit when/when-not statements.

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

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. It states the tool calculates difficulty but doesn't explain how (e.g., based on D&D 5e rules, using challenge ratings), what the output format is (e.g., a difficulty rating or category), or any limitations (e.g., assumptions about party composition). This leaves significant gaps for an AI agent to understand the tool's behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that clearly states the tool's purpose without unnecessary words. It is front-loaded and wastes no space, making it easy for an AI agent to parse quickly.

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

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

Given the complexity of calculating encounter difficulty (which involves game mechanics), the lack of annotations, and no output schema, the description is incomplete. It doesn't explain the calculation method, output format, or any behavioral traits, leaving the AI agent with insufficient context to use the tool effectively beyond basic parameter passing.

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

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

Schema description coverage is 100%, so the schema fully documents the three parameters (party_size, party_level, monsters) with descriptions, types, and constraints. The description adds no additional semantic context beyond what the schema provides, such as explaining how these inputs affect the difficulty calculation. Baseline 3 is appropriate when the schema does the heavy lifting.

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

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

The description clearly states the tool's purpose: 'Calculate the difficulty of a custom encounter with specific monsters.' It specifies the verb ('calculate'), resource ('encounter difficulty'), and scope ('custom encounter with specific monsters'). However, it doesn't explicitly differentiate from sibling tools like 'build_encounter' or 'get_monsters_by_cr', which might have overlapping domains but different functions.

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

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. It doesn't mention sibling tools like 'build_encounter' (which might create encounters) or 'get_monsters_by_cr' (which might retrieve monsters by challenge rating), nor does it specify prerequisites or exclusions. Usage is implied only by the tool's name and description.

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

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. It states 'generate and compare', implying a creation and analysis operation, but doesn't disclose whether this is a read-only or mutative process, what the output format looks like, or any performance considerations like rate limits. The description is too vague to guide the agent on behavioral expectations beyond the basic action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence: 'Generate and compare multiple character builds with different options'. It's front-loaded with the core action and resource, with zero wasted words. Every part of the sentence contributes directly to understanding the tool's purpose.

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

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

Given the complexity (3 parameters, no annotations, no output schema, and 33% schema coverage), the description is incomplete. It doesn't explain what 'compare' entails in terms of output, how builds are generated, or the role of parameters like 'campaign_type'. For a tool with multiple inputs and no structured output documentation, the description should provide more context to guide effective use.

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

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

Schema description coverage is 33% (only 'build_options' has a description), so the description must compensate. It mentions 'different options' which loosely relates to 'build_options', but doesn't explain the semantics of 'campaign_type' or 'focus_level'. The description adds minimal value beyond the schema, failing to fully address the coverage gap. Baseline 3 is appropriate as it doesn't adequately compensate.

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

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

The description clearly states the tool's purpose: 'Generate and compare multiple character builds with different options'. It specifies the verb 'generate and compare' and the resource 'character builds', which is distinct from sibling tools like 'generate_character_build' (singular) or 'get_build_recommendations' (retrieval). However, it doesn't explicitly differentiate from 'generate_character_build' beyond the plural 'multiple', leaving some ambiguity.

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

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. It doesn't mention when to choose this over 'generate_character_build' (singular) or 'get_build_recommendations', nor does it specify prerequisites or exclusions. The lack of context makes it unclear how this tool fits into the workflow with its siblings.

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

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 states the tool 'generates' an 'optimized' build, implying a creation/calculation operation, but doesn't disclose critical traits like whether it's deterministic, requires external data, has rate limits, or what the output format looks like. For a tool with 9 parameters and no output schema, this is a significant gap in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. It directly states what the tool does ('Generate an optimized character build') and the key components involved, making it easy to parse and understand quickly.

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

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

Given the tool's complexity (9 parameters, no annotations, no output schema), the description is incomplete. It doesn't explain what 'optimized' means, how the build is generated, what the output includes, or any behavioral constraints. For a generative tool with significant input options, more context is needed to guide effective use.

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

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

The schema description coverage is 100%, meaning all parameters are documented in the schema itself. The description adds no additional parameter semantics beyond implying optimization across 'race, class, background, and feats,' which aligns with some parameters but doesn't provide extra details like syntax or interaction rules. This 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.

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

The description clearly states the tool's purpose: 'Generate an optimized character build combining race, class, background, and feats.' It specifies the verb 'generate' and the resource 'character build' with key components. However, it doesn't explicitly differentiate from sibling tools like 'get_build_recommendations' or 'compare_character_builds,' which prevents a perfect score.

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

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. It doesn't mention sibling tools like 'get_build_recommendations' or 'compare_character_builds,' nor does it specify prerequisites, constraints, or ideal scenarios for its use. This lack of contextual direction limits the agent's ability to choose appropriately.

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

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

With no annotations provided, the description carries full burden but only states it retrieves conditions without detailing behavioral aspects like response format (e.g., list structure, pagination), performance characteristics, or error handling. It mentions 'quick reference' hinting at efficiency, but lacks specifics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence that is front-loaded with the core purpose ('Get all D&D 5E conditions') and adds value with 'for quick reference'. No wasted words or redundant information.

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

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

For a zero-parameter read tool with no annotations and no output schema, the description is minimally adequate. It states what it does but lacks details on output (e.g., format of conditions list) and behavioral context, which would help an agent use it correctly.

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

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

The tool has zero parameters, and schema description coverage is 100% (empty schema). The description appropriately doesn't discuss parameters, focusing on the tool's purpose. Baseline for zero parameters is 4, as no parameter explanation is needed.

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

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

The description clearly states the action ('Get') and resource ('all D&D 5E conditions'), specifying it's for 'quick reference'. It distinguishes from siblings like 'get_condition_details' (which presumably provides detailed info on a specific condition) and 'search_conditions' (which likely filters conditions), but doesn't explicitly name these alternatives.

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

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

No explicit guidance on when to use this tool versus alternatives like 'get_condition_details' or 'search_conditions'. The phrase 'for quick reference' implies a broad overview use case, but doesn't define boundaries or exclusions.

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

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

No annotations are provided, so the description carries the full burden. It doesn't disclose behavioral traits such as whether this is a read-only operation, if it requires authentication, rate limits, or what the return format looks like (e.g., list of section names or full details).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded with the core action.

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

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

Given the tool's simplicity (0 parameters, no annotations, no output schema), the description is minimally adequate. However, it lacks details about the return value (e.g., what 'sections' include) and doesn't clarify its role among sibling tools, leaving gaps for an agent.

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

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

The tool has 0 parameters, and the input schema has 100% description coverage (though empty). The description doesn't need to explain parameters, so it meets the baseline expectation for a parameterless tool.

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

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

The description clearly states the verb ('Get') and resource ('all available D&D 5E rules sections'), making the purpose explicit. However, it doesn't distinguish from sibling tools like 'search_sections' or 'get_section_details', which could cause confusion about when to use each.

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

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 'search_sections' or 'get_section_details'. It mentions 'for quick reference', but this is vague and doesn't help an agent choose between similar tools.

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

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. It states this is a 'get' operation for reference, implying read-only behavior, but doesn't clarify aspects like rate limits, authentication needs, or what 'quick reference' entails (e.g., format, pagination). For a tool with zero annotation coverage, this is a significant gap in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose ('Get all available D&D 5E spell lists') and adds a brief usage note ('for quick reference'). There is no wasted text, and every word contributes to understanding the tool's intent.

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

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

Given the tool has no parameters, no annotations, and no output schema, the description is minimally adequate. It explains what the tool does but lacks details on behavioral traits (e.g., response format, limitations) and doesn't leverage context from siblings. For a simple read operation, this is passable but leaves gaps in completeness.

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

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

The tool has 0 parameters, and schema description coverage is 100% (though empty). The description doesn't need to add parameter details, and it appropriately avoids redundancy. A baseline of 4 is applied for zero-parameter tools, as no compensation is needed beyond the schema.

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

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

The description clearly states the verb ('Get') and resource ('all available D&D 5E spell lists'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_spell_list_details' or 'search_spell_lists', which would require more specific scope or usage context to earn a 5.

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

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 'get_spell_list_details' (for specific lists) or 'search_spell_lists' (for filtered searches). It implies usage for 'quick reference' but lacks explicit when/when-not instructions or named alternatives, leaving the agent to infer context.

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

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. It states 'Get' implies a read operation, but doesn't cover aspects like authentication needs, rate limits, error handling, or what the statistics include. For a tool with zero annotation coverage, this is a significant gap in 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with no wasted words. It's front-loaded with the core purpose, making it highly concise and well-structured for quick understanding.

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

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what the statistics include, how they're formatted, or any behavioral traits, which is insufficient for a tool that might involve performance metrics or caching details.

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

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

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate here, earning a baseline score of 4 for adequately handling the lack of parameters.

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

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

The description 'Get API performance and caching statistics' clearly states the verb ('Get') and resource ('API performance and caching statistics'), making the tool's purpose understandable. However, it doesn't distinguish this tool from its siblings, which all appear to be D&D-related data retrieval tools, so it lacks sibling differentiation.

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

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. There's no mention of context, prerequisites, or exclusions, and it doesn't reference any of the sibling tools, leaving the agent with no usage instructions beyond the basic purpose.

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

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states this is a 'Get' operation (implying read-only), but doesn't mention error handling, rate limits, authentication needs, or what happens with invalid armor names. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that gets straight to the point without any unnecessary words. It's appropriately sized for a simple lookup tool and front-loads the essential information.

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

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

For a simple lookup tool with one parameter and no output schema, the description provides basic purpose but lacks important context. Without annotations or output schema, it should ideally mention what kind of details are returned (stats, properties, etc.) and any constraints on the armor_name parameter format.

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

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

The input schema has 100% description coverage, with the single parameter 'armor_name' clearly documented in the schema. The description doesn't add any additional parameter context beyond what's already in the structured schema, so the baseline score of 3 is appropriate.

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

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

The description clearly states the verb ('Get') and resource ('detailed information about a specific D&D 5E armor'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from its sibling 'search_armor', which appears to be a broader search function versus this specific lookup tool.

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

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 'search_armor' or other sibling tools. There's no mention of prerequisites, context, or comparison with similar tools, leaving the agent without usage direction.

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

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 states the tool retrieves 'detailed information' but doesn't specify what that includes (e.g., traits, proficiencies, equipment), whether it's a read-only operation, or if there are any rate limits or authentication needs. This leaves significant gaps for a tool with no structured safety hints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose without any fluff or redundancy. It's appropriately sized and front-loaded, making it easy for an agent to parse quickly.

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

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what 'detailed information' entails, leaving the agent uncertain about the return format. For a tool with no structured output and minimal behavioral context, this is inadequate.

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

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

The schema description coverage is 100%, with the parameter 'background_name' clearly documented in the schema. The description adds no additional semantic context beyond implying it's for a 'specific' background, which aligns with the schema but doesn't provide extra value like format examples or constraints.

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

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

The description clearly states the verb ('Get') and resource ('detailed information about a specific D&D 5E background'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'search_backgrounds' or 'get_all_sections', which could provide similar background-related information, so it doesn't reach the highest score.

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

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. It doesn't mention sibling tools like 'search_backgrounds' for broader queries or 'get_all_sections' for general data, leaving the agent to infer usage based on context alone.

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

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. It states the tool 'gets' recommendations, implying a read-only operation, but doesn't clarify if it's a query, generation, or analysis tool, nor does it mention potential side effects, rate limits, or output format. For a tool with no annotations, this is insufficient 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.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence that efficiently conveys the tool's purpose without unnecessary words. It's front-loaded and appropriately sized, with every part earning its place by specifying key inputs and outputs.

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

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

Given the tool's complexity (4 parameters, no output schema, no annotations), the description is incomplete. It doesn't explain what the output looks like (e.g., list of builds, detailed analysis), how recommendations are generated, or any limitations. For a recommendation tool with multiple inputs, more context is needed to guide effective use.

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

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

Schema description coverage is 75%, with three parameters having descriptions and one having an enum. The description adds minimal value beyond the schema by hinting at 'party composition' (mapping to 'existing_party') and 'campaign needs' (mapping to 'campaign_type'), but it doesn't explain parameter interactions or provide additional semantics. Baseline 3 is appropriate given the decent schema coverage.

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

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

The description clearly states the tool's purpose: 'Get character build recommendations based on party composition and campaign needs.' It specifies the verb 'Get' and the resource 'character build recommendations,' with context about inputs. However, it doesn't explicitly differentiate from sibling tools like 'generate_character_build' or 'compare_character_builds,' which is why it's not a 5.

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

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

The description implies usage context ('based on party composition and campaign needs') but doesn't provide explicit guidance on when to use this tool versus alternatives like 'generate_character_build' or 'compare_character_builds.' It lacks clear when-not-to-use statements or prerequisites, leaving usage somewhat ambiguous.

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

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. While 'Get' implies a read-only operation, it doesn't specify whether this requires authentication, has rate limits, returns structured or unstructured data, or handles errors. For a tool with zero annotation coverage, this leaves significant behavioral questions unanswered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that immediately communicates the core purpose without any wasted words. It's appropriately sized for a simple lookup tool and front-loads the essential information.

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

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

For a simple read operation with one well-documented parameter and no output schema, the description is minimally adequate. However, without annotations or output schema, it should ideally provide more context about what 'detailed information' includes and how results are structured. The description meets basic requirements but leaves room for improvement.

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

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

The input schema has 100% description coverage, with the single parameter 'class_name' clearly documented in the schema. The description adds no additional parameter semantics beyond what's already in the schema, so the baseline score of 3 is appropriate when the schema does the heavy lifting.

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

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

The description clearly states the verb ('Get') and resource ('detailed information about a specific D&D 5E class'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'search_classes' or 'get_all_sections', which could provide similar class-related information through different mechanisms.

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

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 'search_classes' or 'get_spells_by_class'. There's no mention of prerequisites, limitations, or comparative context with sibling tools, leaving the agent to infer usage patterns from tool names alone.

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

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. It states this is a read operation ('Get'), implying it's likely safe and non-destructive, but doesn't specify any constraints like rate limits, authentication needs, error handling, or what the output format might be (e.g., structured data vs. text). For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence that efficiently conveys the core purpose without any fluff or redundancy. It is front-loaded with the essential action and resource, making it easy to parse and understand quickly, which is ideal for conciseness.

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

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

Given the tool's simplicity (one required parameter, no output schema, no annotations), the description is adequate but has clear gaps. It covers the basic purpose but lacks details on usage guidelines, behavioral traits, and output expectations. For a read-only tool in a context with many siblings, more context would help the agent use it effectively, but it meets the minimum viable threshold.

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

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

The input schema has 100% description coverage, with the parameter 'condition_name' clearly documented as 'The name of the condition to get details for'. The description adds no additional semantic context beyond this, such as examples of condition names (e.g., 'Poisoned', 'Prone') or formatting requirements. Given the high schema coverage, a baseline score of 3 is appropriate as the schema does the heavy lifting.

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

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

The description clearly states the verb ('Get') and resource ('detailed information about a specific D&D 5E condition'), making the purpose unambiguous. However, it doesn't explicitly differentiate from its sibling 'get_all_conditions' (which likely lists all conditions) or 'search_conditions' (which might search/filter conditions), leaving some room for improvement in sibling distinction.

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

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 'get_all_conditions' or 'search_conditions'. It lacks context about prerequisites, such as needing to know the exact condition name, and doesn't mention any exclusions or when not to use it, relying solely on the implied specificity from 'specific'.

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

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. It states the tool retrieves 'detailed information' but doesn't specify what that includes (e.g., prerequisites, benefits, source), whether it's read-only, if it requires authentication, or how errors are handled. For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose ('Get detailed information') without unnecessary words. Every part of the sentence earns its place by specifying the resource type and domain, making it appropriately sized for a simple lookup tool.

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

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

Given the tool's low complexity (single parameter, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks context on usage guidelines, behavioral details, and output expectations. Without annotations or an output schema, the description should do more to compensate, but it falls short of being fully complete.

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

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

The input schema has 100% description coverage, with the 'feat_name' parameter clearly documented. The description adds no additional semantic context beyond what's in the schema, such as format examples (e.g., case sensitivity) or validation rules. With high schema coverage, the baseline score of 3 is appropriate as the schema does the heavy lifting.

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

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

The description clearly states the verb ('Get detailed information') and resource ('a specific D&D 5E feat'), making the purpose immediately understandable. It distinguishes from sibling tools like 'search_feats' (which likely returns multiple results) by focusing on a single feat's details. However, it doesn't explicitly contrast with 'search_feats' in the text itself.

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

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 'search_feats' or 'unified_search'. It doesn't mention prerequisites, such as needing to know the exact feat name, or clarify that this is for detailed information rather than searching. There's no explicit when/when-not or alternative tool recommendation.

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

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 states the tool retrieves 'detailed information,' implying a read-only operation, but doesn't specify what details are included (e.g., properties, rarity, attunement), whether it requires authentication, or how it handles errors (e.g., if the item name is invalid). This is a significant gap for a tool with no annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose ('Get detailed information') without any wasted words. It directly addresses what the tool does, making it easy for an agent to parse quickly.

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

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

Given the complexity of retrieving game data and the lack of annotations and output schema, the description is insufficient. It doesn't explain what 'detailed information' entails (e.g., JSON structure, included fields), potential limitations (e.g., only official D&D items), or error handling. This leaves the agent under-informed for a tool that likely returns rich data.

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

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

The input schema has 100% description coverage, with the parameter 'item_name' clearly documented as 'The name of the magic item to get details for.' The description adds no additional meaning beyond this, such as formatting examples or case sensitivity. Given the high schema coverage, a baseline score of 3 is appropriate, as the schema does the heavy lifting.

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

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

The description clearly states the verb ('Get') and resource ('detailed information about a specific D&D 5E magic item'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'search_magic_items' (which likely returns multiple items) or 'unified_search' (which might include magic items among other things), so it falls short of a perfect score.

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

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. It doesn't mention sibling tools like 'search_magic_items' for broader searches or 'unified_search' for cross-resource queries, nor does it specify prerequisites such as needing the exact item name. This leaves the agent with minimal context for tool selection.

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

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

With no annotations provided, the description carries full burden but only states the basic function without disclosing behavioral traits. It doesn't mention whether this is a read-only operation, what the output format looks like (e.g., list of monsters with details), pagination, rate limits, or error conditions. For a tool with no annotation coverage, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero wasted words, clearly front-loading the core purpose. It's appropriately sized for a simple filtering tool with one parameter.

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

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., monster details, counts, or just names), how results are structured, or any operational constraints. For a tool with no structured output documentation, more context is needed to be fully helpful.

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

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

Schema description coverage is 100%, with the parameter 'challenge_rating' fully documented in the schema (type, description, min/max). The description adds no additional semantic context beyond what the schema provides, such as examples or edge cases, meeting the baseline for high schema coverage.

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

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

The description clearly states the action ('Get') and target resource ('monsters'), with the filtering criterion ('by challenge rating') specified. It distinguishes from generic search tools but doesn't explicitly differentiate from the sibling 'get_monsters_by_cr_range', which is a similar filtering tool with a range parameter instead of a single value.

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

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 like 'get_monsters_by_cr_range' (for range-based filtering) or 'search_monsters' (for broader searches). The description implies usage for CR-based filtering but offers no context on prerequisites, limitations, or comparative use cases.

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

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

No annotations are provided, so the description carries full burden. It mentions 'Get all monsters' but doesn't disclose important behavioral traits: whether this is a read-only operation, if there are rate limits, what the return format looks like (list of monsters with what fields?), or if there's pagination beyond the 'limit' parameter. For a tool with 5 parameters and no annotations, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose. Every word earns its place: 'Get all monsters' (action), 'within a specific challenge rating range' (scope), 'for encounter planning' (context). No wasted words or redundant information.

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

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

Given 5 parameters, no annotations, and no output schema, the description is minimally adequate but has clear gaps. It explains the purpose well but doesn't address behavioral aspects (read-only vs. mutation, rate limits) or describe the return format. For a data retrieval tool with multiple filtering parameters, more context about the response structure would be helpful.

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

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 5 parameters thoroughly. The description adds minimal value beyond what's in the schema - it mentions 'challenge rating range' which aligns with min_cr/max_cr, but doesn't provide additional context about parameter interactions or usage patterns. Baseline 3 is appropriate when schema does the heavy lifting.

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

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

The description clearly states the specific action ('Get all monsters') and resource ('within a specific challenge rating range'), with explicit purpose ('for encounter planning'). It distinguishes from sibling tools like 'get_monsters_by_cr' (which likely gets by exact CR) and 'search_monsters' (which likely has broader search capabilities).

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

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

The description provides clear context ('for encounter planning'), indicating when this tool is appropriate. However, it doesn't explicitly state when NOT to use it or name specific alternatives like 'get_monsters_by_cr' or 'search_monsters' for different use cases, which would be needed for a perfect score.

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

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states it 'gets detailed information', implying a read-only operation, but doesn't specify what details are included, potential rate limits, error handling for invalid race names, or authentication needs. For a tool with zero annotation coverage, this leaves significant behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence that efficiently conveys the core purpose without unnecessary words. It's front-loaded with the essential action and resource, making it easy to parse. Every part of the sentence earns its place by specifying the domain (D&D 5E) and scope (specific race).

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

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

Given the tool's low complexity (single parameter, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks details on output format, error conditions, or integration with siblings. Without annotations or output schema, more behavioral context would improve completeness for reliable agent use.

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

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

Schema description coverage is 100%, with the single parameter 'race_name' fully documented in the schema. The description adds no additional parameter semantics beyond implying the race must be specific and from D&D 5E. With high schema coverage, the baseline score of 3 is appropriate as the description doesn't compensate but doesn't detract.

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

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

The description clearly states the verb ('Get') and resource ('detailed information about a specific D&D 5E race'), making the purpose immediately understandable. It distinguishes from siblings like 'search_races' by focusing on retrieving details for a specific race rather than searching. However, it doesn't explicitly contrast with other detail-retrieval tools (e.g., 'get_class_details'), so it's not fully differentiated.

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

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. It doesn't mention when to prefer this over 'search_races' for known race names, or how it relates to other detail tools like 'get_class_details'. There's no context on prerequisites or exclusions, leaving usage entirely implicit.

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

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 mentions retrieving 'detailed information' but doesn't specify what that includes (e.g., full text, metadata, related rules), whether there are rate limits, authentication requirements, or error conditions. This leaves significant gaps for an agent to understand the tool's behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose without any unnecessary words. It's appropriately sized for a simple lookup tool and front-loads the essential information.

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

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

For a tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what 'detailed information' includes in the return value, nor does it address potential behavioral aspects like error handling or data format. Given the lack of structured data, the description should provide more context to be truly helpful.

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

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

The schema description coverage is 100%, with the single parameter 'section_name' clearly documented in the schema. The description doesn't add any additional meaning about the parameter beyond what's in the schema (e.g., examples of valid section names, format requirements), so it meets the baseline for adequate but unenhanced parameter documentation.

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

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

The description clearly states the verb ('Get') and resource ('detailed information about a specific D&D 5E rules section'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_all_sections' or 'search_sections', which would be needed for a perfect score.

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

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 'get_all_sections' (for listing) or 'search_sections' (for finding sections). It simply states what the tool does without any context about appropriate usage scenarios.

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

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. It states what the tool does but doesn't cover critical aspects like whether it's a read-only operation, if it requires authentication, how results are returned (e.g., pagination, format), or any rate limits. For a tool with no annotation coverage, this leaves significant gaps in understanding its behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence that efficiently conveys the core functionality without any wasted words. It's front-loaded with the essential action and resource, making it easy for an agent to parse quickly, which is ideal for conciseness.

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

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

Given the lack of annotations and output schema, the description is incomplete for a tool that retrieves data. It doesn't explain what the return values look like (e.g., list of spells, their details), any limitations (e.g., max results), or error conditions. For a data-fetching tool with no structured output information, this leaves the agent poorly equipped to handle results.

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

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

The description implies a 'level' parameter but doesn't add meaning beyond what the input schema provides. With 100% schema description coverage, the schema already documents the parameter's type, range (0-9), and that 0 represents cantrips. The description doesn't elaborate on semantics like how spells are filtered or returned, so it meets the baseline for high schema coverage without adding extra value.

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

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

The description clearly states the tool's purpose with a specific verb ('Get') and resource ('all spells of a specific level'), making it immediately understandable. However, it doesn't distinguish itself from sibling tools like 'get_spells_by_class' or 'search_spells', which could also retrieve spells based on different criteria, leaving some ambiguity about when to choose this tool over others.

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

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. With siblings like 'get_spells_by_class', 'get_spells_for_class', and 'search_spells' available, there's no indication of whether this tool is for filtering by level only, if it's more efficient for level-based queries, or what contexts it's best suited for, leaving the agent to guess.

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

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. While 'Get detailed information' implies a read-only operation, it doesn't specify what 'detailed information' includes, whether there are rate limits, authentication requirements, error handling for invalid spell names, or the format/structure of the returned data. This leaves significant gaps for an agent to understand the tool's behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. It directly communicates what the tool does ('Get detailed information about a specific D&D 5E spell') with zero waste, making it easy for an agent to parse quickly.

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

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

Given the lack of annotations and output schema, the description is incomplete for a tool that presumably returns complex spell data. It doesn't hint at what 'detailed information' encompasses (e.g., casting time, components, effects), which is critical context for an agent to understand the tool's utility and output expectations.

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

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

The input schema has 100% description coverage, with the single parameter 'spell_name' clearly documented. The description adds no additional parameter semantics beyond what's in the schema (e.g., no examples, format constraints, or validation rules). This meets the baseline score of 3 for high schema coverage.

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

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

The description clearly states the verb ('Get detailed information') and resource ('specific D&D 5E spell'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_spell_by_level', 'search_spells', or 'get_spell_list_details', which all relate to spells but serve different purposes.

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

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. With multiple spell-related sibling tools (e.g., 'search_spells', 'get_spell_by_level', 'get_spell_list_details'), there's no indication that this tool is for retrieving detailed information about a single, known spell rather than searching, filtering, or listing spells.

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

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. While it indicates this is a read operation ('Get'), it doesn't describe what 'detailed spell list information' includes, whether there are rate limits, authentication requirements, error conditions, or what format the information is returned in. The description is too vague about the actual behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that clearly states the tool's purpose without any wasted words. It's appropriately sized for a simple lookup tool with one parameter.

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

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

For a tool with no annotations and no output schema, the description is insufficient. It doesn't explain what constitutes 'detailed spell list information' or what format the results will be in. Given the complexity of D&D spell data and the lack of structured output information, the description should provide more context about what information is returned.

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

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

The input schema has 100% description coverage, with the single parameter 'class_name' well-documented in the schema. The description doesn't add any meaningful parameter semantics beyond what's already in the schema, so the baseline score of 3 is appropriate.

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

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

The description clearly states the tool's purpose with a specific verb ('Get') and resource ('detailed spell list information'), and specifies the domain context ('D&D 5E class'). However, it doesn't explicitly differentiate from sibling tools like 'get_spells_by_class' or 'get_spells_for_class', which appear to have similar functions.

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

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 'get_spells_by_class' or 'get_spells_for_class'. It states what the tool does but offers no context about when it's appropriate or what distinguishes it from similar sibling tools.

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

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

No annotations are provided, so the description carries full burden for behavioral disclosure. While 'Get' implies a read operation, the description doesn't address important behavioral aspects like whether this returns all spells at once or uses pagination, what format the results come in, or any rate limits or authentication requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is perfectly concise - a single sentence that communicates the essential purpose without any wasted words. It's front-loaded with the core functionality and contains no unnecessary information.

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

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

For a tool with no annotations and no output schema, the description is insufficient. It doesn't explain what the return format looks like, whether results are paginated, or how comprehensive the 'all spells' claim is. Given the lack of structured metadata, the description should provide more operational context.

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

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

With 100% schema description coverage, the input schema already fully documents the single parameter. The description adds no additional parameter information beyond what's in the schema, so it meets the baseline expectation but doesn't provide extra value.

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

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

The description clearly states the verb ('Get') and resource ('all spells available to a specific class'), making the purpose immediately understandable. However, it doesn't explicitly distinguish itself from sibling tools like 'get_spells_for_class' or 'get_all_spell_lists', which could cause confusion about when to use each tool.

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

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. With sibling tools like 'get_spells_for_class' and 'get_all_spell_lists' that likely serve similar purposes, the agent receives no help in selecting the appropriate tool for different scenarios.

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

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. It mentions 'detailed spell information' but doesn't specify what details are included, whether the data is static or dynamic, or any limitations like rate limits or permissions. For a read operation with zero annotation coverage, this leaves significant gaps in understanding the tool's behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose without any wasted words. It's appropriately sized for a straightforward tool, making it easy for an agent to parse quickly.

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

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

Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks details on output format, behavioral traits, and differentiation from siblings. Without annotations or output schema, more context would be helpful for effective use.

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

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

Schema description coverage is 100%, with clear documentation for both parameters (class_name and limit). The description adds no additional meaning beyond the schema, such as explaining class name formats or the implications of the limit. Baseline 3 is appropriate when the schema does the heavy lifting.

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

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

The description clearly states the action ('Get detailed spell information') and resource ('all spells available to a specific class'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'get_spells_by_class' or 'get_spell_by_level', which appear to offer similar functionality, preventing a perfect score.

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

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. With siblings like 'get_spells_by_class' and 'get_spell_by_level' that might overlap, there's no indication of context, prerequisites, or exclusions, leaving the agent to guess based on tool names alone.

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

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. It mentions 'filtering options' but doesn't describe key behaviors: whether this is a read-only operation, how results are returned (e.g., pagination, format), error handling, or rate limits. For a search tool with no annotation coverage, this leaves significant gaps in understanding its operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence with zero waste. It's front-loaded with the core purpose and includes essential scope information ('with filtering options'). Every word earns its place, making it easy for an agent to parse quickly.

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

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

Given the tool's moderate complexity (5 parameters, no annotations, no output schema), the description is minimally adequate. It states the purpose but lacks behavioral details and usage guidance. The schema covers parameters well, but without annotations or output schema, the agent must guess at behaviors like result format or safety. This is the bare minimum for a search tool.

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

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

Schema description coverage is 100%, so the schema fully documents all 5 parameters. The description adds no additional parameter semantics beyond implying filtering capabilities. This meets the baseline of 3, as the schema handles the heavy lifting, but the description doesn't enhance parameter understanding (e.g., explaining how 'query' interacts with other filters).

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

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

The description clearly states the tool's purpose: 'Search for D&D 5E armor with filtering options'. It specifies the verb ('search'), resource ('D&D 5E armor'), and scope ('with filtering options'). However, it doesn't explicitly differentiate from sibling tools like 'get_armor_details' or 'unified_search', which prevents a perfect score.

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

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. It doesn't mention sibling tools like 'get_armor_details' (for specific armor details) or 'unified_search' (for broader searches), nor does it specify prerequisites or exclusions. The agent must infer usage from the tool name and parameters alone.

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

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. It mentions 'filtering options,' which aligns with the input schema parameters (query and limit), but doesn't describe key behaviors like whether the search is case-sensitive, how results are ordered, what the output format looks like (e.g., list of background names or full details), or any rate limits. For a search tool with no annotation coverage, this is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose ('Search for D&D 5E character backgrounds') and adds a useful qualifier ('with filtering options'). There is no wasted language, and it's appropriately sized for a simple search tool.

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

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what the tool returns (e.g., a list of background names, summaries, or full details), how results are structured, or any behavioral nuances like pagination or error handling. For a search tool with two parameters and no structured output documentation, more context is needed to be fully helpful.

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

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

The description adds minimal value beyond the input schema, which has 100% coverage with clear descriptions for both parameters (query and limit). The phrase 'with filtering options' implies the existence of parameters but doesn't explain their semantics or usage beyond what's already in the schema. With high schema coverage, the baseline score of 3 is appropriate.

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

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

The description clearly states the tool's purpose: 'Search for D&D 5E character backgrounds with filtering options.' It specifies the verb ('Search'), resource ('D&D 5E character backgrounds'), and scope ('with filtering options'). However, it doesn't explicitly differentiate from its sibling 'get_background_details' or other search tools like 'search_armor' or 'search_spells', which would be needed for a score of 5.

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

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. It doesn't mention when to use 'search_backgrounds' instead of 'get_background_details' (which likely retrieves details for a specific background) or 'unified_search' (which might search across multiple resource types). No exclusions, prerequisites, or contextual advice are provided.

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

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

No annotations are provided, so the description carries full burden. It states the tool retrieves data ('Get') with 'comprehensive details', but does not disclose behavioral traits like pagination, rate limits, authentication needs, or what 'comprehensive' entails. This is a significant gap for a tool with no annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the key action and resource without any wasted words. It is appropriately sized for a tool with no parameters and a straightforward purpose.

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

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

Given the tool has no parameters, no annotations, and no output schema, the description is minimally adequate but incomplete. It specifies what is retrieved but lacks details on behavior, output format, or how it differs from siblings, leaving gaps in contextual understanding for the agent.

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

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

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description does not add parameter information, which is acceptable here as there are no parameters to describe, aligning with the baseline for zero parameters.

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

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

The description clearly states the verb ('Get') and resource ('all D&D 5E classes'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'get_class_details', which might retrieve a single class, leaving some ambiguity in sibling distinction.

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

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 'get_class_details' or 'unified_search'. The description implies usage for retrieving class information but lacks explicit context or exclusions, leaving the agent to infer based on tool names alone.

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

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. It states the tool searches but doesn't describe how results are returned (e.g., format, ordering, pagination), what happens with no query (e.g., returns all conditions?), or any limitations (e.g., rate limits, authentication needs). This is a significant gap for a search tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose ('Search for D&D 5E conditions and status effects') with zero wasted words. It's appropriately sized for a simple search tool and earns its place by clearly stating the action and resource.

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

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

Given no annotations, no output schema, and a search tool with potential behavioral nuances (e.g., result format, default behavior), the description is incomplete. It doesn't explain what the tool returns or how to interpret results, which is critical for an agent to use it effectively. This leaves significant gaps in understanding the tool's full context.

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

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 both parameters ('query' and 'limit') with details like optionality and numeric constraints. The description adds no additional parameter semantics beyond implying a search functionality, which aligns with the schema but doesn't provide extra value. Baseline 3 is appropriate when the schema does the heavy lifting.

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

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

The description clearly states the action ('Search for') and resource ('D&D 5E conditions and status effects'), making the purpose immediately understandable. However, it doesn't distinguish itself from sibling tools like 'get_all_conditions' or 'unified_search', which could also retrieve condition information, so it doesn't fully differentiate its specific scope.

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

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. It doesn't mention sibling tools like 'get_all_conditions' (which might list all conditions without search) or 'unified_search' (which might search across multiple resource types), leaving the agent with no explicit usage context.

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

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 mentions 'filtering options' but doesn't specify what the tool returns (e.g., list of feat names, full details), pagination behavior, error conditions, or rate limits. For a search tool with zero annotation coverage, this is insufficient.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose ('Search for D&D 5E feats') and adds a brief qualifier ('with filtering options'). There is no wasted verbiage, making it highly concise and well-structured.

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

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what the search returns (e.g., format, fields), how results are ordered, or error handling. For a tool with filtering parameters and no structured output documentation, more context is needed.

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

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

Schema description coverage is 100%, so the schema fully documents all three parameters. The description adds no additional parameter semantics beyond mentioning 'filtering options', which is already implied by the schema. This meets the baseline score when the schema does the heavy lifting.

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

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

The description clearly states the verb ('Search') and resource ('D&D 5E feats'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_feat_details' or 'unified_search', which could also retrieve feat information, so it doesn't achieve full sibling differentiation.

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

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. It doesn't mention sibling tools like 'get_feat_details' for specific feat details or 'unified_search' for broader searches, leaving the agent without context for tool selection.

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

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 mentions 'filtering options' but doesn't describe key behaviors like pagination, rate limits, authentication needs, error handling, or the format of returned results. For a search tool with 5 parameters, this leaves significant gaps in understanding how it operates.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. Every part of it earns its place by specifying the action, resource, and key feature (filtering).

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

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

Given the tool's complexity (5 parameters, no annotations, no output schema), the description is incomplete. It lacks details on behavioral traits, result format, error conditions, and usage context. For a search tool that likely returns structured data, this leaves the agent with insufficient information to use it effectively.

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

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

The schema description coverage is 100%, so the input schema already documents all 5 parameters thoroughly. The description adds no additional parameter semantics beyond implying filtering capabilities, which the schema already covers. This 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.

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

The description clearly states the tool's purpose as searching for D&D 5E magic items with filtering options, which includes a specific verb ('search'), resource ('magic items'), and domain context ('D&D 5E'). However, it doesn't explicitly differentiate from sibling tools like 'get_magic_item_details' or 'unified_search', which prevents a perfect score.

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

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. It doesn't mention sibling tools like 'get_magic_item_details' for specific item details or 'unified_search' for broader searches, nor does it specify prerequisites or appropriate contexts for filtering magic items.

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

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. It mentions 'filtering options' but doesn't elaborate on key behaviors such as search semantics (e.g., partial matches, case sensitivity), result ordering, pagination, error handling, or rate limits. For a search tool with zero annotation coverage, this lack of detail is a significant gap in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. It directly states what the tool does ('Search for D&D 5E monsters') and adds a key feature ('with filtering options'), making it appropriately sized and zero-waste for its informational content.

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

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

Given the tool's moderate complexity (search with filtering), lack of annotations, and absence of an output schema, the description is minimally adequate but incomplete. It covers the basic purpose but omits details on behavioral traits, usage context, and result format, which are crucial for effective agent operation. The high schema coverage helps, but overall completeness is limited.

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

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

Schema description coverage is 100%, meaning the input schema already documents all three parameters (query, challenge_rating, limit) with descriptions and constraints. The description adds no additional meaning beyond implying general filtering capabilities, so it meets the baseline score of 3 where the schema does the heavy lifting without extra value from the description.

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

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

The description clearly states the tool's purpose as 'Search for D&D 5E monsters with filtering options,' which specifies the verb (search), resource (D&D 5E monsters), and scope (with filtering). However, it doesn't explicitly differentiate from sibling tools like 'get_monsters_by_cr' or 'get_monsters_by_cr_range,' which appear to offer similar monster retrieval functionality, leaving some ambiguity about when to choose this tool over those alternatives.

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

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. It mentions filtering options but doesn't specify scenarios where this search tool is preferred over sibling tools like 'get_monsters_by_cr' or 'unified_search,' nor does it outline any prerequisites or exclusions for its use, leaving the agent to infer usage context independently.

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

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. While 'search' implies a read operation, it doesn't specify whether this is a fuzzy or exact match search, what fields are searched, how results are sorted/limited, or what format the output takes. For a search tool with zero annotation coverage, this leaves significant behavioral questions unanswered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that immediately communicates the core functionality without unnecessary words. It's appropriately sized for a simple search tool and front-loads the essential information.

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

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

For a search tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what constitutes 'detailed trait information', how results are structured, whether there are pagination/limitation constraints, or how this differs from other race-related tools. The context signals indicate this is a simple tool, but the description should provide more operational context.

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

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

The input schema has 100% description coverage, with the single parameter 'query' documented as 'Search query for race names (optional)'. The description adds no additional parameter semantics beyond what the schema already provides, so the baseline score of 3 is appropriate when the schema does the heavy lifting.

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

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

The description clearly states the verb ('search') and resource ('D&D 5E races with detailed trait information'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'get_race_details' or 'unified_search', which could provide similar race information through different mechanisms.

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

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 'get_race_details' (which might retrieve specific races by ID) or 'unified_search' (which might search across multiple entity types). There's no mention of prerequisites, limitations, or comparative use cases with sibling tools.

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

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

No annotations are provided, so the description carries full burden. While 'Search' implies a read operation, it doesn't disclose important behavioral traits: whether this is a full-text search or metadata search, what fields are searched (names, content, or both), how results are ranked, whether it's case-sensitive, what happens with empty queries, or typical response format. The description only states the basic purpose without operational details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that states the core purpose without unnecessary words. It's appropriately sized for a search tool and front-loads the essential information. Every word earns its place in conveying the tool's function.

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

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

Given no annotations and no output schema, the description is incomplete for a search tool. It doesn't explain what the search returns (sections matching what criteria), how results are structured, whether there's pagination, or what happens when no results are found. For a tool with 2 parameters and complex search behavior, the description provides insufficient context for effective use.

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

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

Schema description coverage is 100%, so both parameters are well-documented in the schema. The description adds no additional parameter semantics beyond implying the search covers 'rule section names or content' (which the schema's query description already states). With complete schema coverage, the baseline score of 3 is appropriate as the description doesn't enhance parameter understanding beyond what the schema provides.

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

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

The description clearly states the action ('Search') and resource ('D&D 5E rules sections') with the specific purpose of 'quick rule lookups'. It distinguishes from sibling tools like 'get_all_sections' (which presumably lists all without search) and 'get_section_details' (which gets details of a specific section). However, it doesn't explicitly differentiate from 'unified_search' which might search across multiple resource types.

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

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. It doesn't mention when to use 'search_sections' versus 'get_all_sections' (for browsing all sections), 'get_section_details' (for detailed information on a known section), or 'unified_search' (for cross-resource searching). There's no context about appropriate use cases or limitations.

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

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. While 'search' implies a read-only operation, the description doesn't specify what constitutes a 'spell list' versus individual spells, whether results are paginated, what format the results take, or any limitations on the search functionality. For a search tool with zero annotation coverage, this leaves significant behavioral questions unanswered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that communicates the core functionality without unnecessary words. It's appropriately sized for a search tool and front-loads the essential information about what the tool does.

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

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

Given the tool's moderate complexity (search functionality with 2 parameters), 100% schema coverage, but no annotations and no output schema, the description is minimally adequate. It identifies the domain and resource but doesn't provide enough context about what 'spell lists' contain, how results are structured, or how this differs from similar sibling tools. The absence of output schema means the description should ideally provide more return value context.

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

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 both parameters (query for class names, limit with constraints). The description adds no additional parameter semantics beyond what's in the schema - it doesn't clarify what 'class names' means in D&D context (full names, abbreviations, etc.) or provide examples. With complete schema coverage, baseline 3 is appropriate.

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

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

The description clearly states the tool's purpose: 'Search available D&D 5E spell lists by class' - this specifies the verb (search), resource (spell lists), and domain context (D&D 5E). However, it doesn't explicitly differentiate from sibling tools like 'get_all_spell_lists' or 'get_spells_by_class', which appear to serve related functions.

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

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. With multiple sibling tools related to spells and spell lists (get_all_spell_lists, get_spells_by_class, get_spells_for_class, search_spells), there's no indication of when this specific search-by-class functionality is preferred over those other options.

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

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. It states the tool is for searching with filtering, but doesn't reveal key behaviors such as whether it returns partial matches, how it handles missing parameters, or if there are rate limits or authentication requirements. For a search tool with zero annotation coverage, this is a significant gap in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. It directly communicates the tool's function and scope, making it easy to parse and understand quickly. Every part of the sentence earns its place by contributing essential information.

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

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

Given the lack of annotations and output schema, the description is incomplete for a tool with 5 parameters. It doesn't explain what the search returns (e.g., list of spells with details), how results are formatted, or any behavioral nuances like pagination or error handling. For a search tool with multiple filtering options, more context is needed to guide effective use.

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

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

The schema description coverage is 100%, meaning all parameters are documented in the input schema. The description adds minimal value beyond the schema by mentioning 'advanced filtering options,' which aligns with the parameters but doesn't provide additional semantic context or usage examples. This 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.

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

The description clearly states the tool's purpose: 'Search for D&D 5E spells with advanced filtering options.' It specifies the verb ('search'), resource ('D&D 5E spells'), and scope ('advanced filtering options'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'get_spell_by_level' or 'get_spell_details,' which prevents a perfect score.

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

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. It mentions 'advanced filtering options,' but doesn't specify scenarios where this is preferred over sibling tools like 'get_spell_by_level' or 'get_spells_by_class,' nor does it mention any prerequisites or exclusions. This lack of contextual guidance limits its utility for an AI agent.

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

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 mentions 'property filtering' but doesn't explain what properties are available beyond the schema parameters, how results are returned (format, pagination), or any limitations like rate limits or authentication requirements. For a search tool with 4 parameters, this leaves significant behavioral gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that immediately conveys the core functionality. Every word earns its place with no wasted text, making it easy to parse and understand at a glance.

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

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

For a search tool with 4 parameters and no output schema, the description is insufficient. It doesn't explain what the search returns (weapon objects with what fields?), how results are ordered, or what happens when no filters are applied. Without annotations or output schema, the description should provide more context about the tool's behavior and results.

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

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

Schema description coverage is 100%, so the schema fully documents all 4 parameters. The description adds marginal value by mentioning 'property filtering' which aligns with the boolean parameters in the schema, but doesn't provide additional context beyond what's already in the schema descriptions. This 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.

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

The description clearly states the action ('Search for') and resource ('D&D 5E weapons'), making the purpose immediately understandable. It distinguishes from siblings by focusing on weapons specifically, though it doesn't explicitly differentiate from other search tools like search_armor or search_monsters beyond the resource type.

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

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. It doesn't mention sibling tools like search_armor or search_monsters, nor does it explain when property filtering is preferable to other search methods. The user must infer usage from the tool name alone.

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

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 mentions 'intelligent ranking and filtering' which adds some behavioral context beyond basic search functionality. However, it doesn't disclose important behavioral traits like rate limits, authentication requirements, pagination behavior, or what happens when no results are found. For a search tool with no annotations, this represents a moderate gap in behavioral transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that clearly communicates the tool's purpose and key features. It's appropriately sized and front-loaded with the main functionality. Every word earns its place - 'Search across all D&D content types' establishes the core purpose, the parenthetical list provides concrete examples, and 'with intelligent ranking and filtering' adds valuable context about the search behavior.

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

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

Given the tool's moderate complexity (6 parameters, search functionality across multiple content types) and the absence of both annotations and output schema, the description is somewhat incomplete. While it clearly states what the tool does, it doesn't provide information about return format, error conditions, or result structure. For a unified search tool with no output schema, the description should ideally provide more context about what results look like and how they're organized.

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

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

The input schema has 100% description coverage, so all parameters are well-documented in the schema itself. The description doesn't add any parameter-specific information beyond what's already in the schema descriptions. It mentions 'filtering' which relates to the content_types parameter, but this is already covered in the schema. The baseline score of 3 is appropriate when the schema does the heavy lifting for parameter documentation.

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

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

The description clearly states the tool's purpose: 'Search across all D&D content types' with specific examples (spells, monsters, items, etc.) and mentions 'intelligent ranking and filtering'. It distinguishes itself from sibling tools like search_spells, search_monsters, etc. by being a unified search across all content types rather than searching specific types individually.

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

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

The description provides clear context for when to use this tool: when searching across multiple D&D content types. It doesn't explicitly mention when NOT to use it or name specific alternatives, but the context strongly implies this is for broad searches while sibling tools like search_spells are for specific content type searches. The description doesn't provide explicit exclusions or prerequisites.

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