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 only states what the tool does ('check'), without detailing traits like whether it's read-only, its response format, error conditions, or performance implications. This is insufficient for a tool that likely interacts with UI state.

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 and efficiently conveys the core purpose without unnecessary elaboration, 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 simplicity (0 parameters, output schema exists) and lack of annotations, the description is minimally adequate. It states the purpose but omits behavioral context and usage guidelines. With an output schema, return values are covered, but overall completeness is limited to the basic function.

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 details, which is appropriate here, but it could have mentioned implicit inputs like context or state, though not required. Baseline is 4 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 tool's purpose as 'Check for active popup or modal dialog widgets,' which specifies the verb ('check') and resource ('active popup or modal dialog widgets'). However, it does not distinguish this from sibling tools like 'qt_messages' or 'qt_widget_details,' which might also involve UI element inspection, so it lacks explicit 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 does not mention prerequisites, context, or exclusions, such as whether it should be used before interacting with UI elements or in response to specific events. This leaves the agent without clear 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?

With no annotations, the description carries full burden but provides limited behavioral context. It describes the action (clicking) and parameter defaults, but doesn't disclose side effects (e.g., UI changes, event triggers), error conditions, or performance implications. It's minimally adequate but lacks depth 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 well-structured and concise. It starts with the core purpose, then lists parameters with clear explanations in a bullet-like format. Every sentence adds value, with no wasted words, making it easy to scan and understand.

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 4 parameters with 0% schema coverage and no annotations, the description does a decent job explaining inputs but lacks output details (though an output schema exists). For a UI interaction tool, it could better cover behavioral aspects like what happens post-click or error handling, leaving some gaps.

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 effectively explains all 4 parameters: 'ref' source, 'button' options, 'modifiers' options, and 'position' meaning and default. This adds significant value beyond the bare schema, though it could detail format constraints (e.g., array length for position).

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: 'Click a widget' specifies the verb and resource. It distinguishes from siblings like qt_key_press or qt_set_property by focusing on mouse interaction, though it doesn't explicitly contrast with similar tools like qt_trigger_action.

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 minimal usage guidance. It mentions that 'ref' comes from 'qt_snapshot', which hints at a prerequisite, but doesn't explain when to use this tool versus alternatives like qt_trigger_action or qt_invoke_slot. No explicit when-not-to-use or comparison with siblings is 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?

With no annotations provided, the description carries the full burden and does well by disclosing behavioral traits: it describes the extraction process, lists compatible widget types, and mentions the dependency on qt_snapshot for the ref parameter. It does not cover error handling or performance aspects, but provides sufficient 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 appropriately sized and front-loaded: the first sentence states the core purpose, followed by a clear Args section and additional compatibility details. Every sentence adds value without redundancy, making it efficient 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 moderate complexity (single parameter, no annotations, but with an output schema), the description is complete enough. It covers purpose, usage, parameters, and compatibility, and since an output schema exists, it does not need to explain return values, making it adequately comprehensive.

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 significant meaning beyond the input schema, which has 0% description coverage. It explains that 'ref' is a 'Widget ref from qt_snapshot' and provides an example ('e.g., 'w5''), clarifying the parameter's purpose and format, which compensates fully 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 specific action ('Extract text content') and target resources ('from a text editor or input widget'), distinguishing it from sibling tools like qt_snapshot or qt_widget_details by focusing on text extraction rather than general widget inspection or interaction.

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 on when to use this tool by specifying it works with specific widget types (e.g., QPlainTextEdit, QLabel) and requires a widget ref from qt_snapshot. However, it does not explicitly state when not to use it or name alternatives 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 full burden for behavioral disclosure. It states what the tool does but doesn't describe what happens during invocation: whether it's synchronous/asynchronous, if it returns values, error conditions, or side effects. For a tool that invokes methods on QObjects, this lack of behavioral context is a significant gap, though it doesn't contradict any annotations.

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 appropriately concise with a clear purpose statement followed by parameter explanations. Every sentence adds value: the first defines the tool's function, and the next two clarify parameter meanings. It's front-loaded with the core functionality. Minor improvement could be adding a brief example or more context about QObject invocation.

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 2 parameters with 0% schema coverage but good parameter semantics in the description, plus an output schema (which means return values are documented elsewhere), the description is moderately complete. However, for a tool that performs method invocation—a potentially complex operation—the description lacks information about what the invocation does, return types, or error handling, making it incomplete for full understanding.

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 meaningful context for both parameters: 'ref' is explained as 'Widget ref from qt_snapshot', and 'method_name' as 'Slot/method name to invoke'. With 0% schema description coverage, this compensates well by providing practical usage information beyond the bare schema types. However, it doesn't specify format constraints or examples for method 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 'invoke' and the resource 'a slot or method on a QObject', making the purpose specific and understandable. It distinguishes from siblings like qt_click or qt_set_property by focusing on method invocation rather than UI interaction or property modification. However, it doesn't explicitly differentiate from qt_trigger_action, which might have overlapping functionality.

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 'ref: Widget ref from qt_snapshot', implying a prerequisite relationship with qt_snapshot, but doesn't state this explicitly as a requirement or suggest other tools for similar tasks. There's no mention of when-not-to-use scenarios or clear alternatives among the many 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 the full burden of behavioral disclosure. It describes the basic action (sending key events) and target behavior (focused widget fallback), but doesn't mention important behavioral aspects like whether this simulates physical key presses, how it handles modifier keys, error conditions, or timing considerations. It provides minimal but accurate 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 perfectly structured with a clear purpose statement followed by parameter explanations. Every sentence serves a specific purpose with zero wasted words. The two-sentence format with parameter documentation is efficient and front-loaded.

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 an output schema (which handles return values), no annotations, and only 2 parameters, the description is reasonably complete for basic usage. However, as a UI automation tool that could have complex behavioral implications, it lacks details about error handling, timing, and interaction with other Qt tools that would be helpful for robust 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?

With 0% schema description coverage, the description must compensate for the schema's lack of documentation. It successfully explains both parameters: 'key' gets examples of valid values (e.g., 'Return', 'Ctrl+S'), and 'ref' gets clear semantics about widget targeting and default behavior. This adds significant value beyond the bare 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 specific action ('Send a key event') and target ('to a widget or the focused widget'), distinguishing it from sibling tools like qt_click (mouse click) or qt_type (text typing). It uses precise technical language that identifies the exact function.

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 about when to use the tool (sending key events) and offers guidance on the 'ref' parameter (use when targeting specific widgets vs. focused widget). However, it doesn't explicitly state when NOT to use it or name specific alternatives among the many 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 the full burden. It discloses key behavioral traits: it scans visible widgets, reports specific issue types (e.g., zero_size, overlapping_siblings), and implies a read-only diagnostic operation without side effects. However, it does not mention performance considerations, error handling, or output format details, leaving some 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 front-loaded with the core purpose in the first sentence, followed by a bulleted list of specific issues detected. Every sentence earns its place by providing essential details without redundancy, making it highly efficient 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 (diagnostic scanning), no annotations, and an output schema (implied by 'Has output schema: true'), the description is mostly complete. It explains what the tool detects but does not detail the output structure or behavioral nuances like scanning scope or limitations. The output schema likely covers return values, so this is acceptable but not exhaustive.

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 appropriately adds no parameter information, focusing instead on the tool's function. A baseline of 4 is applied since it compensates adequately for the lack of parameters by explaining what the tool does.

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 ('Detect layout issues') and resource ('visible widget tree'), and distinguishes it from siblings by focusing on layout diagnostics rather than interaction, inspection, or rendering tasks. It provides concrete examples of what it detects, making the purpose unambiguous.

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 debugging layout problems in Qt applications, but does not explicitly state when to use this tool versus alternatives like qt_widget_details or qt_snapshot for inspection, or when not to use it (e.g., for non-layout issues). It lacks explicit guidance on prerequisites or context, leaving usage inferred from the 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?

No annotations are provided, so the description carries full burden for behavioral disclosure. While 'List' implies a read-only operation, the description doesn't mention important behavioral aspects like whether this requires specific permissions, what format the output returns (though output schema exists), or potential performance implications. It's minimal but not misleading.

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 states exactly what the tool does with zero wasted words. It's appropriately sized for a simple listing 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?

Given the tool's simplicity (one optional parameter) and the existence of an output schema, the description is adequate but minimal. It covers the basic purpose but lacks usage guidance and behavioral context that would be helpful for an agent operating in a rich sibling tool environment.

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 and only one parameter, the description doesn't mention the 'skip_hidden' parameter at all. However, since there's only one parameter and the tool's purpose is straightforward (listing windows), the description's omission is less critical. It adds no parameter semantics, but the simplicity keeps it from scoring lower.

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 ('List') and resource ('all top-level windows and their types'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'qt_object_tree' or 'qt_widget_details' which might also provide window-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. With siblings like 'qt_object_tree' and 'qt_widget_details' that might overlap in functionality, the agent receives no help in selecting the appropriate tool for listing windows versus getting detailed widget 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. It states 'Get actions' but doesn't clarify if this is a read-only operation, what the output format is, or any side effects. For a tool with no annotations, this is insufficient to inform the agent about key behavioral traits.

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 concise and front-loaded with the main purpose in the first sentence, followed by a brief parameter explanation. It avoids unnecessary details, though the structure could be slightly improved by integrating the parameter info more seamlessly.

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 (one parameter, no annotations, but with an output schema), the description is minimally adequate. It covers the basic purpose and parameter, but lacks usage guidelines and behavioral details. The presence of an output schema reduces the need to explain return values, but more context would enhance 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 description adds minimal semantics by explaining that 'ref' is a 'Ref to a QMenu widget', which clarifies the parameter's purpose beyond the schema's generic 'string' type. However, with 0% schema description coverage and only one parameter, this provides basic but not comprehensive context, meeting the baseline for low 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 the resource 'actions from a QMenu widget', making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'qt_trigger_action' or 'qt_invoke_slot' that might also interact with menu items, leaving 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. It doesn't mention prerequisites, such as needing a valid QMenu widget reference, or compare it to siblings like 'qt_trigger_action' for executing actions. This lack of context makes it harder for an agent to select the right tool.

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 only states what the tool returns, without mentioning whether this is a read-only operation, if it requires specific permissions, what format the messages come in, or any rate limits. For a tool with no annotation coverage, 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 appropriately sized with a clear purpose statement followed by parameter details. The two-sentence structure is efficient, though the parameter explanation could be slightly more concise. Every sentence adds value without redundancy.

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 an output schema (which handles return values) and only one parameter with description coverage, the description is minimally adequate. However, for a tool with no annotations and siblings offering various diagnostic functions, it should provide more context about when this specific console message retrieval is appropriate versus other debugging options.

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 meaningful context for the single parameter 'level', explaining that 'Each level includes the messages of more severe levels' and providing the default value. With 0% schema description coverage and only one parameter, this compensation is effective, though it doesn't specify what the valid level values are (e.g., 'info', 'warning', 'error').

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 'Returns all console messages', specifying the verb 'returns' and resource 'console messages'. It distinguishes from siblings like qt_screenshot or qt_click by focusing on console data retrieval rather than UI interaction or screenshots. However, it doesn't explicitly contrast with all siblings, keeping it at 4 instead 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. With siblings like qt_snapshot or qt_widget_details that might also return diagnostic information, there's no indication of when console messages are preferred over other debugging tools. The parameter explanation doesn't substitute for 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?

No annotations are provided, so the description carries the full burden. It mentions 'Get' implying a read operation, but doesn't disclose behavioral traits such as performance impact, traversal order, error handling, or output format. The description lacks details on what 'full QObject parent-child tree' entails 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 appropriately sized and front-loaded: the first sentence states the purpose, followed by a concise parameter list. Every sentence adds value, with no redundant information. However, the structure could be slightly improved by integrating parameter explanations more seamlessly.

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 2 parameters with 0% schema coverage and an output schema present, the description is moderately complete. It explains the parameters but lacks behavioral context and usage guidelines. The output schema likely covers return values, so the description doesn't need to explain those, but it should address more about the tool's operation and 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 0%, so the description must compensate. It adds meaning for both parameters: 'root_ref' is explained as 'Starting ref. Defaults to QApplication root.' and 'max_depth' as 'Maximum traversal depth.' This clarifies their roles beyond the schema's titles ('Root Ref', 'Max Depth'), though it doesn't provide format details for 'root_ref'.

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 the full QObject parent-child tree (not just visible widgets).' It specifies the verb ('Get') and resource ('QObject parent-child tree'), and distinguishes it from visible widgets. However, it doesn't explicitly differentiate from sibling tools like 'qt_widget_details' or 'qt_snapshot', which might also involve object inspection.

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 'not just visible widgets' but doesn't specify scenarios where this tool is preferred over siblings like 'qt_widget_details' or 'qt_list_windows'. No exclusions or prerequisites are 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'Get all items', implying a read-only operation, but doesn't specify what 'items' includes (e.g., graphical objects, properties), whether it returns structured data, or any limitations (e.g., performance, access permissions). The description is minimal and lacks critical behavioral details 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 concise with two sentences: one stating the purpose and another explaining the parameter. It's front-loaded with the main function, and there's no wasted text. However, the structure could be improved by integrating the parameter explanation more seamlessly or adding brief usage context.

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 an output schema (which likely defines the return values), the description doesn't need to explain outputs. However, with no annotations, 0% schema description coverage, and one parameter, the description is minimal but covers the basics: purpose and parameter semantics. It's adequate for a simple tool but lacks depth for effective agent use, such as error handling or example 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?

The description adds meaning for the single parameter 'ref' by explaining it's a 'Ref to a QGraphicsView widget', which clarifies its purpose beyond the schema's generic 'string' type. However, with 0% schema description coverage and only one parameter, this provides basic compensation but doesn't detail format (e.g., how to obtain the ref) or constraints. The baseline is 3 due to the low parameter count, but the added value is limited.

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 states the tool 'Get all items in a QGraphicsScene', which provides a clear verb ('Get') and resource ('items in a QGraphicsScene'). However, it doesn't distinguish this from sibling tools like 'qt_snapshot' or 'qt_object_tree', which might have overlapping functionality for retrieving UI elements. The purpose is understandable but 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. It doesn't mention prerequisites (e.g., requires a QGraphicsView widget reference), exclusions, or compare it to siblings like 'qt_snapshot' or 'qt_object_tree' for similar tasks. Usage is implied from the parameter description but not explicitly 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 explains key behaviors: capturing windows/widgets, downscaling logic, format options, and the return type (base64-encoded PNG image). However, it lacks details on error conditions, performance implications, or whether the tool is read-only/destructive. The description adds value but doesn't fully cover behavioral traits.

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 appropriately sized and front-loaded: the first sentence states the core purpose, followed by a structured parameter list with clear explanations. Every sentence adds value without redundancy, making it easy to scan and understand.

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, no output schema, no annotations), the description is mostly complete. It covers purpose, parameters, and return value. However, it lacks information on error handling, performance considerations, or explicit guidance on tool selection versus siblings, leaving minor gaps in 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 description adds significant meaning beyond the input schema, which has 0% description coverage. It explains each parameter's purpose, defaults, constraints (e.g., 'ref' from qt_snapshot, format options 'png' or 'jpeg', quality range 1-100), and interactions (e.g., quality ignored for PNG). This fully compensates for the schema's lack of descriptions.

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 ('Take a screenshot') and resource ('entire window or a specific widget'), distinguishing it from sibling tools like qt_snapshot (which likely provides widget references) and qt_vtk_screenshot (which targets VTK scenes). The first sentence directly answers what the tool does.

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 on when to use certain parameters (e.g., 'ref' for specific widgets, omitting it for active window, 'full_window' for top-level windows) and implies usage through parameter explanations. However, it does not explicitly state when to use this tool versus alternatives like qt_vtk_screenshot or qt_snapshot, nor does it provide exclusion criteria.

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 mutation operation ('Set'), but doesn't describe what happens if the property doesn't exist, whether changes are persistent, what permissions are needed, or what the output contains. For a mutation 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 extremely concise and well-structured. The first sentence states the purpose clearly, followed by a clean parameter list with brief explanations. Every sentence earns its place with no wasted words, 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 that there's an output schema (which handles return values), no annotations, and moderate complexity (3 parameters for property setting), the description provides the basic purpose and parameter mapping but lacks important context about behavioral implications, error conditions, and usage guidelines. It's minimally adequate but has clear gaps for a mutation 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 schema description coverage is 0%, so the description must compensate. It provides brief explanations for all three parameters, mapping each to its purpose. However, these explanations are minimal and don't provide format details, constraints, or examples. The description adds basic meaning but doesn't fully compensate for the schema's lack of descriptions.

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 'Set' and the resource 'Qt property on a widget', making the purpose immediately understandable. However, it doesn't differentiate this tool from potential alternatives like 'qt_trigger_action' or 'qt_invoke_slot' that might also modify widget state, 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 mentions that 'ref' comes from 'qt_snapshot', which hints at a prerequisite but doesn't explicitly state when this tool is appropriate versus other mutation tools like 'qt_click' or 'qt_trigger_action'. No explicit when/when-not instructions 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?

With no annotations provided, the description carries the full burden. It discloses that the tool inspects and enumerates connections, reporting connected status and receiver counts, which is useful behavioral context. However, it lacks details on permissions, rate limits, or error handling, leaving 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 front-loaded with the core purpose, followed by a use case and parameter details in a structured format. Every sentence adds value without redundancy, making it efficient and easy to parse for an AI agent.

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 (1 parameter, no annotations, but with an output schema), the description is reasonably complete. It explains what the tool does, why to use it, and parameter semantics, though it could benefit from more behavioral details like output format hints. The output schema existence reduces the need to describe return values.

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 explains the 'ref' parameter as a 'Widget ref from qt_snapshot (e.g., 'w5')', adding meaningful context beyond the schema's basic string type. This effectively clarifies the parameter's purpose and source, though it doesn't cover all potential edge cases.

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 ('Inspect signal connections') and resource ('on a QObject'), distinguishing it from siblings like qt_click or qt_get_text. It provides a concrete use case ('debugging "nothing happens when I click" problems'), making the purpose explicit and 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 includes clear context ('For a given widget/object') and implies usage for debugging signal-related issues, but does not explicitly state when not to use it or name alternatives among siblings. It provides practical guidance without exclusions or comparisons to other 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. It effectively describes the output format ('YAML-like text tree'), content details (widget types, geometry, etc.), and how the output can be used ('refs to interact with specific widgets via other tools'). It doesn't mention performance, rate limits, or prerequisites, but covers core behavior well for a read 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 efficiently structured in three sentences: first states the purpose, second details the output, third explains usage of refs. Every sentence adds value without redundancy, and it's 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 moderate complexity (capturing widget tree), no annotations, and an output schema present, the description is reasonably complete. It explains what the tool does, the output format, and how to use the results. The main gap is lack of parameter documentation, but the output schema reduces the need to describe return values in detail.

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 for parameter documentation. It doesn't mention any of the three parameters (max_depth, root_ref, skip_hidden), leaving them entirely undocumented. However, with an output schema present, some burden is reduced. The baseline is lowered due to lack of parameter info, but not severely since parameters have defaults and are optional.

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 ('capture the full Qt widget tree') and resource ('Qt widget tree'), distinguishing it from siblings like qt_screenshot (visual capture) or qt_object_tree (structural tree). It specifies the output format ('structured accessibility-like snapshot') and content, making the purpose unambiguous.

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: to get a comprehensive snapshot of widget states for accessibility or interaction purposes. It mentions using refs with other tools, implying integration with siblings like qt_click. However, it doesn't explicitly state when not to use it or name specific alternatives 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 describes what the tool does (reports thread ownership, flags issues, lists instances) but lacks details on permissions, side effects, rate limits, or output format. It adds some context about GUI freezes but doesn't fully cover behavioral traits.

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 efficiently structured in three sentences: the first states the core purpose, the second details specific checks, and the third lists additional outputs. Each sentence adds value without waste, and it's front-loaded with the main 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 complexity (threading analysis) and the presence of an output schema (which handles return values), the description is reasonably complete. It covers purpose, key checks, and common issues, but could benefit from more behavioral context given the lack of annotations.

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 appropriately focuses on tool functionality without redundant parameter details, earning a baseline score of 4 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 tool's purpose with specific verbs ('check thread affinity', 'detect threading issues') and resources ('QObjects', 'QWidget subclasses', 'QThread instances'). It distinguishes from siblings by focusing on thread analysis rather than UI interaction, property setting, or other Qt operations.

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 through 'detect threading issues' and 'flags QWidget subclasses on non-GUI threads (the #1 cause of GUI freezes)', suggesting this tool is for debugging threading problems. However, it doesn't explicitly state when to use it versus alternatives like qt_layout_check or qt_signals, nor does it provide 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains that ampersands are stripped for matching and actions are 0-indexed, which are useful behavioral details. However, it doesn't cover potential side effects (e.g., UI changes), error handling, or permissions needed, leaving 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 well-structured and front-loaded with the purpose, followed by parameter details and usage rules. Every sentence adds value: the first states the purpose, the next three explain parameters, and the last two provide usage guidelines. No wasted words.

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 (triggering UI actions), no annotations, and an output schema (which handles return values), the description is mostly complete. It covers purpose, parameters, and usage well, but lacks details on behavioral side effects and error conditions, which are important for a mutation 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 schema description coverage is 0%, so the description must fully compensate. It does so by explaining all three parameters: 'ref' as a reference to UI components, 'action_text' with matching rules, and 'action_index' with indexing details. It also clarifies the exclusive-or relationship between action_text and action_index, adding crucial semantics 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 tool's purpose: 'Trigger a menu action or toolbar action by text or index.' It specifies the exact verb ('trigger') and resources ('menu action or toolbar action'), and distinguishes it from siblings like qt_menu_items (which lists actions) and qt_click (which clicks widgets).

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 explicit guidance on when and how to use the tool: 'Provide either action_text or action_index (not both)' and 'Use qt_menu_items first to see available actions.' It also distinguishes from alternatives by referencing the sibling tool qt_menu_items for discovery.

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 describes the basic action of typing text and the 'clear_first' option, but fails to address critical behavioral aspects such as whether this requires specific widget states (e.g., editable), potential side effects (e.g., triggering events), error handling, or performance considerations like rate limits. 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 highly concise and well-structured, with a clear purpose statement followed by bullet-point parameter explanations. Every sentence adds value without redundancy, making it easy to parse and understand quickly, which is ideal for tool selection.

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 annotations, but with an output schema), the description is partially complete. It covers the basic action and parameters but lacks details on behavioral traits, usage context, and error handling. The presence of an output schema mitigates the need to explain return values, but overall, the description falls short of providing a fully comprehensive understanding 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?

The description adds meaningful semantics beyond the input schema, which has 0% description coverage. It explains that 'ref' is a 'Widget ref from qt_snapshot', clarifying its source and purpose, and describes 'clear_first' as 'select all and delete before typing', providing crucial context not evident from the schema alone. However, it does not elaborate on 'text' beyond its name, leaving some parameter details implicit.

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 ('Type text into a widget') and identifies the resource ('widget'), making the purpose immediately understandable. However, it does not explicitly differentiate this tool from potential siblings like 'qt_get_text' or 'qt_set_property', which might involve text retrieval or property changes, 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?

The description provides no guidance on when to use this tool versus alternatives, such as 'qt_set_property' for text input or 'qt_key_press' for simulated typing. It mentions 'ref: Widget ref from qt_snapshot' as a prerequisite but lacks explicit when-to-use or when-not-to-use instructions, offering minimal contextual 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 full burden but offers minimal behavioral insight. It states this is a 'Get' operation (implying read-only), but doesn't disclose permissions needed, rate limits, side effects, or what the returned state includes. For a tool interacting with graphical widgets, more context about safety and behavior would be expected.

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 appropriately brief with two sentences: one stating the purpose and one explaining the parameter. It's front-loaded with the core function. However, the 'Args:' section formatting is slightly redundant with the schema, and more value could be packed into the limited space.

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 1 parameter with 0% schema coverage, the description adequately explains the input. With an output schema present, return values needn't be described. However, for a tool in a complex UI testing context with many siblings, more guidance on usage and behavior would improve completeness, especially since no annotations are provided.

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 meaningful context for the single parameter 'ref', explaining it's a reference to a widget containing a VTK render window. With 0% schema description coverage (schema only has title 'Ref'), this compensates well by clarifying the parameter's purpose and type, though it doesn't specify format or examples.

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 'VTK scene state', specifying it's from a PyVista/VTK widget. It distinguishes from siblings like 'qt_vtk_screenshot' (which captures images) by focusing on state information rather than visual output. However, it doesn't explicitly differentiate from other info-gathering tools like 'qt_widget_details' or 'qt_object_tree'.

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 minimal guidance: it mentions the tool is for VTK render windows in widgets, but offers no explicit when-to-use advice, no exclusions, and no alternatives. Given the many sibling tools for UI interaction and inspection, this lack of context leaves the agent guessing about when this specific tool is appropriate versus others.

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 captures an image, implying a read operation, but does not specify output format (e.g., PNG, JPEG), file handling (e.g., saved to disk or returned as data), permissions needed, or error conditions. 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 concise and well-structured: a clear purpose statement followed by a brief parameter explanation. It avoids unnecessary details and is front-loaded with the main function. However, it could be slightly more efficient by integrating the parameter note into the main sentence, but overall, it earns its place with minimal waste.

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 capturing a VTK render window, no annotations, no output schema, and low schema coverage, the description is incomplete. It lacks information on output (e.g., image format, return value), error handling, dependencies on other tools (e.g., how to get 'ref'), and behavioral nuances. This makes it inadequate for an agent to use the tool effectively without additional 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 description adds minimal semantics beyond the input schema: it explains that 'ref' is a 'Ref to a widget containing a VTK render window.' With 0% schema description coverage, this provides some context, but it does not detail the format of 'ref' (e.g., how to obtain it from other tools) or constraints. The baseline is 3 due to the single parameter, but the description only partially compensates for the lack of schema details.

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: 'Capture a VTK render window to an image.' It specifies the verb 'capture' and the resource 'VTK render window,' distinguishing it from generic screenshot tools like 'qt_screenshot' or 'qt_scene_snapshot' by focusing on VTK-specific rendering. However, it does not explicitly differentiate from all siblings (e.g., 'qt_vtk_scene_info' might be related), 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 mentions the parameter 'ref' but does not explain prerequisites, such as needing an active VTK widget, or compare it to similar tools like 'qt_screenshot' or 'qt_scene_snapshot.' Without any usage context or exclusions, the agent must infer when this tool is 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes the action ('wait for a UI state change') and lists parameters, but lacks details on behavioral traits such as what happens on timeout (e.g., returns error or null), whether it blocks execution, or any side effects. This is a significant gap for a tool with multiple parameters and 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 appropriately sized and front-loaded: it starts with a clear purpose statement, followed by a structured list of parameters with brief explanations. Every sentence earns its place by providing essential information without redundancy, 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 tool's complexity (6 parameters, 1 required) and the presence of an output schema, the description is partially complete. It covers parameter semantics well but lacks behavioral context (e.g., timeout handling, return values). The output schema likely details return values, so the description doesn't need to explain those, but it should address other behavioral aspects for better 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 description adds substantial meaning beyond the input schema, which has 0% schema description coverage. It explains each parameter's purpose (e.g., 'Widget objectName (for widget_visible)'), clarifies dependencies between parameters and conditions, and provides a default value for timeout_ms. This compensates fully for the lack of schema descriptions, making the parameters well-understood.

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 'Wait for a UI state change,' which is a specific verb (wait) and resource (UI state). It distinguishes itself from siblings like qt_click or qt_set_property by focusing on waiting rather than direct interaction. However, it doesn't explicitly differentiate from all siblings, such as qt_layout_check, which might involve similar monitoring.

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 through the parameter explanations (e.g., 'for widget_visible'), suggesting when to use certain parameters, but it doesn't provide explicit guidance on when to choose this tool over alternatives like qt_layout_check or qt_messages. There's no mention of prerequisites, error conditions, or specific scenarios 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?

No annotations are provided, so the description carries the full burden. It discloses that the tool returns 'all Qt properties, geometry, parent chain, and more,' which gives some behavioral context about the output. However, it lacks details on error handling, performance, or side effects. The description adds value but is not fully transparent about behavioral traits.

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 appropriately sized and front-loaded: the first sentence states the purpose, followed by a clear 'Args' section with an example, and a 'Returns' note. Every sentence earns its place without redundancy, making it efficient 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 has 1 parameter, no annotations, and an output schema exists, the description is reasonably complete. It explains the parameter's semantics and hints at the return content. However, it could benefit from more details on usage context or limitations, but the output schema likely covers return values, reducing the burden.

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 description must compensate. It provides semantics for 'ref' by explaining it is a 'Widget ref from qt_snapshot (e.g., 'w5').' This adds meaningful context beyond the schema's basic type information, clarifying the parameter's source and format.

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 detailed properties of a specific widget.' It uses a specific verb ('Get') and resource ('widget'), but does not explicitly differentiate it from sibling tools like 'qt_snapshot' or 'qt_object_tree', which might provide related widget information. The purpose is clear but lacks 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 implies usage by specifying that 'ref' should come from 'qt_snapshot', which suggests a workflow dependency. However, it does not explicitly state when to use this tool versus alternatives like 'qt_snapshot' (which might list widgets) or 'qt_object_tree' (which might show hierarchy). The guidance is implied but not comprehensive.

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