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 action is to 'Add a tag', implying a mutation, but doesn't specify permissions required, whether the tag overwrites existing ones, error handling, or response format. For a mutation 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, concise sentence that directly states the tool's purpose without any fluff or redundancy. It's front-loaded and efficiently communicates the core action, 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 complexity as a mutation operation with no annotations and no output schema, the description is inadequate. It doesn't cover behavioral aspects like side effects, error cases, or return values, leaving significant gaps for the agent to infer or handle incorrectly.

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 clear descriptions for each parameter (featureName, tagType, tagValue). The description adds no additional semantic context beyond what the schema provides, such as examples or constraints. Baseline 3 is appropriate since 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 ('Add a tag') and the target resource ('to a feature flag'), which is specific and unambiguous. However, it doesn't differentiate from sibling tools like 'getFeatureTags' or 'patchFlag', which might also involve tags, so it doesn't fully distinguish from 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 doesn't mention prerequisites, such as needing an existing feature flag, or compare it to similar tools like 'patchFlag' or 'updateFlag' that might also modify tags. This leaves 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 states the action ('Add') but doesn't clarify whether this is a mutation requiring specific permissions, what happens on success/failure, or any side effects like rate limits or irreversible changes. This is a significant gap for a tool that appears to modify data.

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 element ('Add a strategy', 'to a feature flag', 'in a specific environment') contributes directly to understanding 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?

For a tool with 6 parameters (including nested objects), 0% schema coverage, no annotations, and no output schema, the description is inadequate. It lacks details on parameter meanings, behavioral traits, return values, and differentiation from siblings, making it insufficient for an agent to use the tool confidently in complex scenarios.

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 0%, meaning none of the 6 parameters are documented in the schema. The description mentions 'feature flag' and 'environment' (mapping to 'featureName' and 'environment' parameters) but ignores the other 4 parameters ('projectId', 'strategyName', 'constraints', 'parameters'), leaving them completely unexplained. This fails to compensate for the schema gap.

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 ('Add a strategy') and the target ('to a feature flag in a specific environment'), providing a specific verb+resource combination. However, it doesn't differentiate from sibling tools like 'updateStrategy' or 'deleteStrategy', which would require explicit comparison to achieve 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 'updateStrategy' or 'deleteStrategy'. It mentions the context ('in a specific environment') but offers no explicit when/when-not instructions or prerequisites, leaving the agent to 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?

No annotations are provided, so the description carries full burden. It implies a mutation ('Archive') but doesn't disclose critical behavioral traits: whether archiving is reversible, what permissions are required, how it affects related data, or what the response looks like. 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 action and resource without unnecessary words. It earns its place by clearly stating the tool's purpose in a minimal format.

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 a mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral outcomes, error conditions, or how archiving differs from other flag modifications, making it insufficient for an agent to fully understand the tool's context and effects.

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 ('featureName' and 'projectId') adequately. The description doesn't add any meaning beyond what the schema provides, such as format examples or constraints, but this is acceptable given the high schema coverage, resulting in a baseline score.

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 ('Archive') and resource ('feature flag in a specific project'), making the purpose immediately understandable. However, it doesn't differentiate this tool from similar siblings like 'disableFlag' or 'markFeaturesStale', which might also affect flag status, 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 like 'disableFlag' or 'deleteStrategy', nor does it mention prerequisites or exclusions. It simply states what the tool does without context for selection among 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 this is a creation operation, implying it's a write/mutation tool, but doesn't mention permission requirements, whether it's idempotent, what happens on duplicate names, or what the response looks like. For a mutation 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 gets straight to the point with no wasted words. It's appropriately sized for a basic tool description, though it could benefit from additional context given the complexity of the 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?

For a mutation tool with 5 parameters, 0% schema description coverage, no annotations, and no output schema, the description is inadequate. It doesn't explain what a 'feature flag' or 'Unleash project' is in this context, doesn't document parameters, and provides no behavioral context. The agent would struggle to use this tool correctly without external knowledge.

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 has 0% description coverage, so all 5 parameters are undocumented in the schema. The description adds no information about what 'name', 'project', 'description', 'impressionData', or 'type' mean or how they should be used. It doesn't even mention that parameters exist, failing to compensate for the schema's lack of 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 action ('Create') and resource ('new feature flag in an Unleash project'), making the purpose immediately understandable. It doesn't explicitly differentiate from sibling tools like 'addFeatureTag' or 'updateFlag', but the verb 'Create' implies this is for initial creation rather than modification or tagging.

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 'updateFlag', 'patchFlag', or 'addFeatureTag'. It doesn't mention prerequisites, such as whether the project must exist first, or clarify that this is for creating flags from scratch rather than modifying existing ones.

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 performs a deletion, implying it's destructive, but doesn't specify whether the deletion is permanent, reversible, requires specific permissions, or has side effects (e.g., on related configurations). For a destructive operation 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, clear sentence with no wasted words. It's front-loaded with the core action ('Delete') and efficiently specifies the target, making it easy to scan 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 (destructive operation with 4 parameters), lack of annotations, 0% schema description coverage, and no output schema, the description is incomplete. It doesn't address behavioral aspects like permanence, permissions, or error handling, nor does it clarify parameter meanings or usage context, leaving significant gaps for an AI 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 schema description coverage is 0%, so the description must compensate for undocumented parameters. It mentions 'feature flag' and 'environment', which relate to 'featureName' and 'environment', but doesn't explain 'projectId' or 'strategyId' or provide context like format constraints (e.g., 'featureName' has a pattern). The description adds minimal semantic value 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 action ('Delete') and the target ('a strategy configuration from a feature flag in the specified environment'), making the purpose understandable. It distinguishes from siblings like 'addStrategy' or 'updateStrategy' by specifying deletion, but doesn't explicitly differentiate from potentially similar tools like 'archiveFlag' or 'disableFlag'.

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 prerequisites (e.g., whether the strategy must exist), exclusions, or comparisons with siblings like 'archiveFlag' or 'disableFlag' that might handle feature flags differently. Usage context is implied but not stated.

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

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 action ('disables') but doesn't explain what disabling entails (e.g., whether it's reversible, requires permissions, affects users immediately, or has side effects). This leaves significant gaps for a mutation 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 with no wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly. Every word earns its place in conveying the basic 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's complexity as a mutation with 3 parameters, 0% schema description coverage, no annotations, and no output schema, the description is inadequate. It lacks details on behavior, parameters, return values, and usage context, making it incomplete for safe and effective tool invocation.

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 0%, so the description must compensate by explaining parameters. It mentions 'specified environment' but doesn't clarify the meaning of 'environment', 'featureName', or 'projectId', nor does it provide examples or constraints beyond what the schema's minLength hints at. This fails to add meaningful semantics for the 3 undocumented 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 action ('disables') and resource ('a feature flag in the specified environment'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'enableFlag' or 'archiveFlag', which would require mentioning what distinguishes disabling from enabling or archiving.

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 such as 'enableFlag', 'archiveFlag', or 'updateFlag'. It lacks context about prerequisites, exclusions, or typical scenarios for disabling flags, leaving the agent to infer usage from the 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, the description carries full burden but only states the action without behavioral details. It doesn't disclose permissions needed, side effects (e.g., if enabling affects existing users), rate limits, or error conditions. 'Enables' implies a mutation, but specifics are lacking.

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 is front-loaded with the core action. There is no wasted verbiage, making it highly concise and well-structured for quick comprehension.

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 mutation tool with 3 parameters, 0% schema coverage, no annotations, and no output schema, the description is incomplete. It lacks details on parameters, behavior, outcomes, and differentiation from siblings, leaving significant gaps for an agent to understand proper usage.

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 0%, so the description must compensate but adds no parameter details. It mentions 'specified environment' vaguely, without explaining the three required parameters (projectId, featureName, environment) or their relationships (e.g., hierarchy, formats).

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 ('Enables') and resource ('a feature flag'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'disableFlag' beyond the verb, nor does it specify what 'enabling' entails (e.g., activating for users).

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 'disableFlag', 'patchFlag', or 'updateFlag'. The description mentions 'specified environment' but doesn't explain prerequisites or contextual constraints for enabling flags.

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 it retrieves a list but doesn't disclose behavioral traits like whether it requires authentication, has rate limits, returns paginated results, or what format the list comes in. For a tool with zero annotation coverage, this is inadequate.

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 with zero wasted words. It's front-loaded with the core purpose and efficiently communicates what the tool does without 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?

Given no annotations and no output schema, the description is incomplete. It doesn't explain what an 'environment' means in Unleash context, what data the list contains, or how results are structured. For a tool that likely returns important configuration data, 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?

The tool has 0 parameters with 100% schema description coverage, so the schema already fully documents the lack of parameters. The description doesn't need to add parameter information, and it correctly implies no parameters are needed by not mentioning any. This meets the baseline for zero-parameter tools.

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 a list of') and resource ('all environments configured in Unleash'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'getProjects' or 'getFeatureTypes' which also retrieve lists of resources, 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. With sibling tools like 'getProjects' and 'getFeatureTypes' that also retrieve lists, there's no indication of when this specific tool is appropriate or what distinguishes it from other list-retrieval 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. While 'Get' implies a read operation, it doesn't specify whether this requires authentication, has rate limits, returns paginated results, or what format the tag list takes. This leaves significant behavioral gaps for an agent.

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 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 the return value looks like (e.g., array of tag objects, simple strings), nor does it address authentication requirements, error conditions, or behavioral constraints that 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 schema has 100% description coverage, with the single parameter 'featureName' clearly documented in the schema itself. The description adds no additional parameter information beyond what's already in the structured schema, 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 verb ('Get') and resource ('tags for a specific feature'), making the purpose immediately understandable. However, it doesn't differentiate this tool from potential sibling tools like 'getFlag' or 'getProjectFeature' that might also retrieve feature-related information, 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 like 'getFlag' or 'getProjectFeature', nor does it mention prerequisites or exclusions. It simply states what the tool does without contextual usage information.

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 it states this is a read operation ('Get'), it doesn't mention any behavioral traits such as permissions required, rate limits, pagination, or what happens if no feature types exist. 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 directly states what the tool does without any fluff. It's front-loaded with the core purpose and includes all necessary information about what is retrieved. Every word earns its place, 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 tool's simplicity (zero parameters, no output schema), the description is adequate but not complete. It explains what is retrieved but lacks details on behavioral aspects like error handling or response format. Without annotations or an output schema, the agent is left guessing about the structure of the returned list, which is a notable gap for a retrieval 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?

The tool has zero parameters, and schema description coverage is 100%, so there's no need for parameter documentation in the description. The baseline for zero parameters is 4, as the description appropriately doesn't waste space discussing non-existent parameters. It focuses on the tool's purpose instead.

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 a list of all feature types with their descriptions and lifetimes'. It uses a specific verb ('Get') and identifies the resource ('feature types') along with what information is included ('descriptions and lifetimes'). However, it doesn't explicitly differentiate from sibling tools like 'getFeatureTags' or 'getProjectFeatures', 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. With siblings like 'getFeatureTags', 'getFlag', and 'getProjectFeatures' that also retrieve feature-related data, there's no indication of when this specific tool is appropriate or what distinguishes it from those options. This leaves the agent without contextual usage instructions.

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 non-destructive, but doesn't cover aspects like authentication needs, rate limits, error handling, or what 'detailed information' entails. 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 unnecessary words. It's appropriately sized and front-loaded, making it easy 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 complexity (a read operation with 1 parameter), lack of annotations, and no output schema, the description is incomplete. It doesn't explain what 'detailed information' includes, potential errors, or how it differs from sibling tools, leaving the agent with insufficient context for reliable 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 input schema has 1 parameter with 0% description coverage, so the schema provides no semantic details. The description adds minimal context by implying 'flagName' is used to identify a specific feature flag, but doesn't specify format, examples, or constraints. This partially compensates for the low schema coverage but remains vague.

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 feature flag'), making the purpose understandable. However, it doesn't distinguish this tool from sibling tools like 'listFlags' or 'getProjectFeature', which also retrieve flag-related information, so it doesn't fully differentiate from 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 such as 'listFlags' (for multiple flags) or 'getProjectFeature' (for project-specific flags). There's no mention of prerequisites, context, or exclusions, leaving the agent with minimal 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?

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 aspects like authentication requirements, rate limits, error conditions, or the format of the returned information. This leaves significant gaps 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 without unnecessary words. Every part of the sentence contributes directly to understanding the tool's function, making it appropriately sized 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 for a tool that retrieves detailed information. It doesn't explain what 'detailed information' includes, how results are formatted, or any behavioral traits like error handling, leaving the agent with insufficient context to use the tool 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%, with both parameters ('featureName' and 'projectId') clearly documented in the schema. The description adds no additional meaning beyond implying that these parameters are used to retrieve information, which aligns with the schema but doesn't provide extra context like 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 action ('Get detailed information') and the resource ('about a feature flag in a specific project'), making the purpose unambiguous. However, it doesn't distinguish this tool from similar siblings like 'getFlag' or 'getProjectFeatures', which appears to retrieve multiple features rather than a single one.

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. With siblings like 'getFlag' and 'getProjectFeatures' available, the description lacks any indication of context, prerequisites, or exclusions that would help an agent 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?

No annotations are provided, so the description carries full burden. It states it 'gets' features, implying a read operation, but doesn't disclose behavioral traits like whether it returns all features at once (pagination?), format of returned data, authentication needs, rate limits, or error conditions. The description is minimal and lacks operational 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 with zero waste. It's front-loaded with the core purpose ('Get all features for a specific project'), and the additional context ('from the Unleash repository') is necessary for source identification. Every word earns its place.

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 0% schema description coverage, the description is incomplete. It lacks details on return values (e.g., structure of features list), error handling, authentication, and operational constraints. For a tool with one parameter but no schema documentation, 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 0%, so the description must compensate. It mentions 'for a specific project' which hints at the 'projectId' parameter, adding semantic context beyond the schema's bare type/constraints. However, it doesn't explain what a 'projectId' is (e.g., format, where to find it) or provide examples, leaving gaps in parameter understanding.

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 features for a specific project'), specifying the source ('from the Unleash repository'). It distinguishes from siblings like 'getFlag' (single feature) and 'listFlags' (all flags without project context). However, it doesn't explicitly contrast with 'getProjectFeature' (singular vs plural).

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. The description implies it's for retrieving features for a specific project, but doesn't mention when to use 'listFlags' (which might list all flags across projects) or 'getFlag' (for a single feature). No prerequisites or exclusions 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 the full burden of behavioral disclosure. It states 'Get a list of all projects,' which implies a read-only operation, but doesn't specify details like pagination, sorting, filtering, error conditions, or response format. 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 with zero waste—'Get a list of all projects'—front-loading the core purpose without unnecessary details. It's appropriately sized for a simple retrieval tool, 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 simplicity (0 parameters, no output schema, no annotations), the description is minimal but adequate for basic understanding. However, it lacks context about what 'projects' entail, how the list is structured, or any limitations (e.g., access controls), making it incomplete for informed usage without additional assumptions or trial.

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%, meaning there are no parameters to document. The description doesn't need to add parameter semantics, so it meets the baseline expectation for a parameterless tool, though it doesn't explicitly state 'no parameters required,' which could slightly improve clarity.

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 ('list of all projects'), making it immediately understandable. However, it doesn't differentiate from sibling tools like 'getProjectFeature' or 'getFeatureTypes', which also retrieve project-related data, so it doesn't fully distinguish its scope from 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. With siblings like 'getProjectFeature' (likely for specific project features) and 'getFeatureTypes' (for feature metadata), there's no indication of context, prerequisites, or exclusions, leaving the agent to infer usage 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states what the tool does ('Get a list') but doesn't describe return format, pagination, sorting, filtering capabilities, or any side effects. For a list operation 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 with no wasted words. It's front-loaded with the core action and resource. Every word earns its place, making it maximally concise while still being clear.

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 listing operations (which often involve pagination, filtering, or sorting) and the absence of both annotations and an output schema, the description is insufficient. It doesn't explain what the return value looks like, how results are structured, or any limitations. For a list tool in a feature flag system with many sibling tools, 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?

The tool has zero parameters, and schema description coverage is 100% (though trivial since there are no parameters). The description doesn't need to explain any parameters, and it correctly implies no filtering or input requirements with 'all feature flags'. This meets the baseline for zero-parameter tools.

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 the resource 'list of all feature flags', making the purpose unambiguous. It doesn't explicitly differentiate from sibling tools like 'getFlag' or 'getProjectFeatures', but the 'all' qualifier provides some distinction. This is a clear but not fully differentiated purpose statement.

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 'getFlag' (for a single flag) or 'getProjectFeatures' (for project-specific flags). There's no mention of prerequisites, context, or exclusions. The agent must infer usage from the tool name and description 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 full burden. It states the action but doesn't disclose behavioral traits such as required permissions, whether changes are reversible, effects on related data, or error handling. For a mutation tool with zero 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 action without unnecessary words. Every part of the sentence contributes directly to explaining the tool's purpose, making it appropriately sized 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 tool's complexity as a mutation with 3 parameters, no annotations, and no output schema, the description is incomplete. It lacks details on behavior, parameter meanings, return values, and usage context, leaving significant gaps for an AI agent to understand and invoke 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?

Schema description coverage is 0%, so the description must compensate. It mentions 'features' and 'projectId' but doesn't explain what constitutes a feature or project ID, nor does it clarify the 'stale' boolean's meaning (e.g., true for stale, false for not stale). The description adds minimal value beyond the schema's parameter names.

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 ('marks') and resource ('features'), specifying the action of setting stale status in a project. It distinguishes from siblings like 'archiveFlag' or 'disableFlag' by focusing on stale marking rather than archival or state changes, though it doesn't explicitly contrast with them.

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 'archiveFlag' or 'disableFlag', nor are prerequisites or exclusions mentioned. The description implies usage for marking features as stale/not stale but lacks context for decision-making.

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 modifies properties without disclosing behavioral traits like permissions needed, whether changes are reversible, rate limits, or error handling. 'Modify' implies mutation but lacks critical safety and operational context for a patch 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?

The description is a single, well-structured sentence that efficiently conveys the tool's purpose and method without redundancy. It's appropriately sized and front-loaded with 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 mutation tool with 3 parameters, 0% schema coverage, no annotations, and no output schema, the description is incomplete. It lacks details on parameter usage, behavioral expectations, and output, leaving significant gaps for an AI agent to invoke 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?

Schema description coverage is 0%, so the description must compensate but only vaguely references 'JSON Patch operations' without explaining parameters like 'patches', 'featureName', or 'projectId'. It adds minimal meaning beyond the schema, failing to fully address the coverage gap.

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 ('Modify specific properties'), target resource ('existing feature flag in an Unleash project'), and method ('using JSON Patch operations'). It distinguishes from siblings like 'updateFlag' by specifying patch-based modification, though it doesn't explicitly contrast with all 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 implies usage for partial modifications via JSON Patch, suggesting when to use this over full updates like 'updateFlag'. However, it lacks explicit guidance on when NOT to use it or clear alternatives among siblings like 'enableFlag' or 'disableFlag' for simpler operations.

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 indicates this is a mutation operation ('Set'), but doesn't mention permissions required, whether changes are reversible, rate limits, error conditions, or what the response looks like. For a tool that modifies strategy ordering with 4 required 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 front-loads the core purpose without unnecessary words. Every word contributes to understanding the tool's function, making it appropriately concise for its complexity level.

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 mutation tool with 4 required parameters, 0% schema description coverage, no annotations, and no output schema, the description is inadequate. It doesn't explain what 'setting sort order' entails operationally, what format 'strategyIds' should be in, or what happens to existing strategies not in the list. The context signals indicate high complexity that the description doesn't address.

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 0%, so all 4 parameters are undocumented in the schema. The description only mentions 'feature flag', 'environment', and 'strategies' generally, without explaining what 'strategyIds' represents, the format of 'projectId', or constraints on 'featureName'. It adds minimal semantic value beyond what's implied by parameter names.

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 ('Set the sort order') and target resource ('strategies for a feature flag in a specific environment'), providing a specific verb+resource combination. However, it doesn't explicitly distinguish this tool from sibling tools like 'updateStrategy' or 'patchFlag', which might also modify strategy-related aspects.

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 'updateStrategy' or 'patchFlag'. It mentions the context ('for a feature flag in a specific environment') but doesn't specify prerequisites, exclusions, 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?

With no annotations provided, the description carries full burden for behavioral disclosure. While 'Update' implies a mutation operation, the description doesn't address permission requirements, whether changes are reversible, rate limits, error conditions, or what happens when only partial parameters are provided. This leaves significant behavioral gaps for a mutation tool.

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

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

The description is a single, efficient sentence that gets straight to the point with zero wasted words. It's appropriately sized for a basic tool description 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 mutation tool with 7 parameters, 0% schema description coverage, no annotations, and no output schema, the description is severely incomplete. It doesn't address the tool's behavior, parameter meanings, return values, or differentiation from similar tools in the sibling list, leaving the agent with insufficient context for proper usage.

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 0% schema description coverage for all 7 parameters, the description provides no parameter information beyond what's implied by the tool name. It doesn't explain what fields can be updated, their purposes, or constraints like the 'type' enum values or 'featureName' pattern requirements. The description fails to compensate for the complete lack of schema 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 ('Update') and resource ('an existing feature flag in an Unleash project'), making the purpose immediately understandable. However, it doesn't differentiate this tool from similar siblings like 'patchFlag' or 'archiveFlag', which would require more specific scope information.

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 'patchFlag', 'archiveFlag', or 'createFlag'. It mentions updating 'an existing feature flag' but doesn't specify prerequisites, constraints, or when other tools might be more appropriate.

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 'Update' implying a mutation, but lacks details on permissions, side effects (e.g., if it overwrites or merges), error handling, or rate limits. This leaves significant behavioral gaps for a tool that modifies configurations.

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 with no wasted words. It is front-loaded with the core action and resource, making it efficient and easy to parse.

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 (7 parameters, nested objects, mutation operation) and lack of annotations and output schema, the description is inadequate. It does not explain what the update entails, potential impacts, or return values, leaving too much undefined for safe and 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 the schema fully documents all 7 parameters. The description adds no additional meaning beyond implying the tool updates a strategy configuration, which aligns with the schema but provides no extra context. Baseline 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 action ('Update') and the resource ('strategy configuration for a feature flag'), specifying it applies to a particular environment. However, it does not differentiate this tool from sibling tools like 'updateFlag' or 'addStrategy', leaving ambiguity 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 such as 'updateFlag' or 'addStrategy', nor does it mention prerequisites like needing an existing strategy. It only specifies the target ('feature flag in the specified environment'), which is insufficient for distinguishing usage.

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 validates names for validity and availability, implying a read-only check, but doesn't specify what 'valid' means (e.g., format rules), whether it's idempotent, or if it has side effects like rate limits. This is a significant gap for a validation 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 directly states the tool's purpose without redundancy. It's front-loaded and wastes no words, 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 'valid' entails (e.g., naming conventions), what 'available' means (e.g., uniqueness checks), or what the return values might be (e.g., boolean success/failure or detailed errors). For a validation tool, this leaves critical behavioral aspects unspecified.

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 'featureName' documented as 'Name of the feature flag to validate'. The description adds no additional semantic details beyond this, such as examples or constraints not 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: 'Validate if a feature flag name is valid and available for use'. It specifies the verb 'validate' and the resource 'feature flag name', making the intent unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'createFlag' or 'getFlag', which might also involve feature flag names.

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 prerequisites (e.g., before creating a flag), exclusions, or compare it to siblings such as 'createFlag' or 'listFlags'. This leaves 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.