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 ('archive') and outcome ('make it inactive'), but doesn't mention critical details like whether this is reversible, requires specific permissions, affects audit trails, or has side effects on dependent systems. This is a significant gap for a mutation tool.

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

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 action and outcome, making it easy to scan and understand quickly 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 the complexity of archiving (a mutation operation), no annotations, and no output schema, the description is incomplete. It doesn't cover behavioral aspects like reversibility, permissions, or response format, which are essential for safe and effective tool invocation by 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 input schema has 100% description coverage, so the schema fully documents all three parameters. The description adds no additional meaning beyond what the schema provides, such as explaining the purpose of 'comment' beyond audit trails or default behavior for 'environmentId'. 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 ('archive') and resource ('feature flag') with the outcome ('make it inactive'), which is specific and unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'updateFeatureFlag', which might also modify flag status, leaving some room for confusion.

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 'updateFeatureFlag' or 'createFeatureFlag'. It lacks context about prerequisites, such as whether the flag must be active, or exclusions, such as not using it for temporary deactivation.

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 but doesn't mention any behavioral traits like required permissions, whether the flag becomes active immediately, rate limits, or what happens on duplicate IDs. For a mutation tool with zero annotation coverage, this leaves significant gaps in understanding how the tool behaves.

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 immediately states the tool's purpose without unnecessary words. It's perfectly front-loaded and wastes no space, making it easy for an agent to parse quickly while scanning available tools.

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 creation tool with 9 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what happens after creation, error conditions, or how this tool fits into the broader feature flag lifecycle with its siblings. The agent would need to rely heavily on the schema alone, missing important contextual information.

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 schema already documents all 9 parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema, not explaining relationships between parameters or providing usage examples. This meets the baseline expectation when schema coverage is complete.

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 ('feature flag in the specified environment'), making the purpose immediately understandable. However, it doesn't differentiate this tool from its siblings like 'updateFeatureFlag' or 'archiveFeatureFlag' beyond the basic verb difference, missing an opportunity to clarify the specific creation context.

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 'updateFeatureFlag' or 'archiveFeatureFlag'. It mentions 'specified environment' but doesn't explain prerequisites, dependencies, or typical use cases, 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool retrieves a feature flag but doesn't describe what happens if the ID doesn't exist (e.g., error handling), whether it's idempotent, authentication needs, rate limits, or the return format. 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 directly states the tool's purpose without any wasted words. It's front-loaded with the core action and resource, making it easy to parse quickly. Every part of the sentence earns its place by conveying 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 tool's moderate complexity (3 parameters, no output schema, no annotations), the description is incomplete. It lacks details on behavioral traits (e.g., error handling, return format), usage context relative to siblings, and doesn't address what 'Get' entails beyond the basic action. For a tool with no annotations or output schema, more descriptive context is needed to fully inform 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?

Schema description coverage is 100%, so the input schema already documents all three parameters (id, environmentId, featureVersion) with clear descriptions. The description adds no additional meaning beyond implying 'id' is required (matching the schema's required field). Baseline 3 is appropriate as the schema does the heavy lifting, but the description doesn't compensate or enhance 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 action ('Get') and resource ('a specific feature flag by ID'), making the purpose immediately understandable. It distinguishes from siblings like 'listFeatureFlags' by specifying retrieval of a single item rather than a collection. However, it doesn't explicitly contrast with other siblings like 'archiveFeatureFlag' or 'updateFeatureFlag' beyond the verb difference.

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., needing an existing flag ID), exclusions (e.g., not for creating or modifying flags), or direct comparisons to siblings like 'listFeatureFlags' for bulk retrieval. Usage is implied by the verb 'Get' but lacks explicit 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 full burden but only states it 'lists all' without disclosing key behaviors: it doesn't mention pagination (implied by 'cursor' parameter but not explained), rate limits, authentication needs, or that it might return partial results. The description is minimal and misses critical 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, efficient sentence that front-loads the core purpose without unnecessary words. Every part ('List all feature flags in the specified environment') directly contributes 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 9 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain the return format (e.g., list structure, pagination tokens), error conditions, or how parameters interact (e.g., combining 'tags' and 'searchKeyword'). Given the complexity, more context is needed 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 the schema fully documents all 9 parameters. The description adds no parameter-specific information beyond implying environment filtering, which is already covered in the schema. This meets the baseline for high schema coverage but doesn't enhance 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 action ('List all') and resource ('feature flags in the specified environment'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'getFeatureFlag' which might retrieve a single flag, leaving some 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 like 'getFeatureFlag' for single flags or 'searchKeyword' parameter for filtered results. It lacks context about prerequisites, such as needing environment access, or exclusions like when not to use it for archived 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?

With no annotations provided, the description carries full burden for behavioral disclosure. 'Update an existing feature flag' implies a mutation operation, but it doesn't disclose critical traits like required permissions, whether changes are reversible, rate limits, or what happens to unspecified fields. For a mutation tool with 8 parameters and no 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 states the core purpose without any wasted words. It's appropriately sized for a tool with good schema coverage and gets straight to the point. 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 complexity (8 parameters, mutation operation) and lack of both annotations and output schema, the description is insufficiently complete. It doesn't explain what fields can be updated, what the response looks like, or behavioral constraints. For a feature flag management tool with multiple sibling alternatives, more context about scope and limitations would be needed for effective 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 all 8 parameters well-documented in the input schema. The description adds no parameter-specific information beyond what's in the schema, so it doesn't enhance understanding of individual parameters. However, the baseline score of 3 is appropriate since the schema already provides comprehensive 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 action ('Update') and resource ('an existing feature flag'), making the purpose immediately understandable. It doesn't differentiate from sibling tools like 'createFeatureFlag' or 'archiveFeatureFlag', but the verb 'Update' versus 'Create' or 'Archive' provides basic distinction. The description is specific enough to understand what the tool does without being tautological.

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 'archiveFeatureFlag' or 'createFeatureFlag'. It doesn't mention prerequisites (e.g., that the feature flag must exist), exclusions, or contextual factors that would help an agent choose between sibling tools. The agent 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.