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 checks for existence of outputs, implying a read-only operation, but doesn't cover critical behaviors: whether it requires specific permissions, how it handles missing or partial outputs, if it returns structured data or simple booleans, or any performance or rate limit considerations. This is a significant gap for a tool with no annotation coverage.

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

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

The description is a single, efficient sentence that front-loads the core purpose without unnecessary words. Every element ('check', 'expected PIX4Dmatic outputs', 'under a project directory') contributes directly to understanding the tool's function, with zero redundancy or fluff.

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

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

Given the tool's moderate complexity (2 parameters, no annotations, but with an output schema), the description is partially complete. It covers the basic action but lacks behavioral context (e.g., error handling, return format). The presence of an output schema reduces the need to describe return values in the description, but without annotations, more detail on operational constraints would improve completeness for safe 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 0%, so the description must compensate. It mentions 'project directory' and 'expected outputs', aligning with the two parameters ('project_dir' and 'expected'), but adds minimal semantics beyond the schema's titles. It doesn't explain format expectations (e.g., file paths, wildcards) or validation rules. With low coverage, the description provides basic mapping but insufficient detail for confident parameter usage.

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 ('check') and resource ('expected PIX4Dmatic outputs'), specifying it verifies existence under a project directory. It distinguishes from siblings like 'pix4d_get_status' or 'pix4d_find_log_errors' by focusing on output file validation rather than system state or error detection. However, it doesn't explicitly contrast with all siblings, such as 'pix4d_collect_diagnostics' which might overlap in file checking.

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., after 'pix4d_run_job'), exclusions (e.g., not for checking log files), or comparisons to siblings like 'pix4d_get_status' for broader status checks. The context is implied (post-processing verification) but not stated, leaving the agent to infer usage scenarios.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions clicking UI elements but fails to detail critical aspects like error handling (e.g., what happens if the path isn't found), side effects (e.g., whether it triggers modal dialogs or changes application state), or performance considerations (e.g., interaction delays). This leaves significant gaps for a tool that interacts with a UI.

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

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

The description is a single, efficient sentence that front-loads the core action and target without unnecessary words. Every part earns its place by specifying the verb, resource, and method, making it highly concise and well-structured.

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

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

Given the tool's complexity (UI interaction with 2 parameters), no annotations, and an output schema (which might cover return values), the description is minimally adequate but incomplete. It states the basic purpose but misses behavioral details and parameter guidance, leaving room for improvement 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?

Schema description coverage is 0%, so the description must compensate but adds minimal param semantics. It implies 'path' is for visible text labels but doesn't explain the array structure (e.g., hierarchical menu levels) or 'timeout_sec' usage (e.g., waiting for UI elements). With 2 parameters and low coverage, this is inadequate.

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 ('Click') and target ('a menu or menu-like UI path by visible text labels'), making the purpose understandable. It doesn't explicitly distinguish from sibling tools like 'pix4d_click_text' or 'pix4d_send_hotkey', which might offer alternative UI interaction methods, 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, such as 'pix4d_click_text' for clicking non-menu text or 'pix4d_send_hotkey' for keyboard shortcuts. It lacks context about prerequisites, like needing the UI to be in a certain state, or exclusions, such as not working on hidden elements.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions clicking 'visible' controls, implying the UI must be in a certain state, but doesn't address critical aspects like what happens if the text isn't found, whether this requires specific permissions, or how it interacts with the application's state. The description is too minimal for a UI automation tool.

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

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

The description is a single, efficient sentence that gets straight to the point with no wasted words. It's appropriately sized for a simple tool and front-loaded with the core action.

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

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

Given the complexity of UI automation (which often involves state dependencies and error conditions), no annotations, and 0% schema description coverage, the description is inadequate. While an output schema exists, the description doesn't provide enough context about behavior, parameter usage, or integration with sibling tools to be complete.

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

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

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It only mentions 'text' implicitly but doesn't explain what 'text' represents (e.g., exact label, partial match), nor does it address the 'timeout_sec' parameter at all. This leaves significant gaps in understanding how to use the parameters effectively.

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 ('Click') and target ('visible PIX4Dmatic UI control by accessible text'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like pix4d_click_menu or pix4d_send_hotkey, which also interact with UI elements.

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

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

No guidance is provided about when to use this tool versus alternatives. The description doesn't mention prerequisites (e.g., PIX4Dmatic must be running), when not to use it, or how it compares to similar tools like pix4d_click_menu or pix4d_send_hotkey.

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 implies a write operation ('Collect... into a diagnostics directory') but doesn't disclose permissions, side effects, or output format. The existence of an output schema helps, but the description lacks details on what 'collect' 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 a single, efficient sentence that front-loads the core action and resources. Every word contributes directly to explaining the tool's function 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 tool's moderate complexity (collecting multiple resources) and no annotations, the description is incomplete—it lacks behavioral details and parameter guidance. However, the presence of an output schema mitigates some gaps by likely defining return values, preventing a lower score.

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

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

Schema description coverage is 0%, so the description must compensate, but it adds no parameter-specific information. It mentions 'diagnostics directory' which loosely relates to 'output_dir', but doesn't explain 'project_dir' or parameter interactions. With 2 parameters and no schema descriptions, the baseline is low, but the description provides minimal context, warranting a score of 3.

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 ('Collect') and the resources involved ('screenshot, recent logs, and status into a diagnostics directory'), making the purpose understandable. However, it doesn't explicitly differentiate from sibling tools like 'pix4d_screenshot' or 'pix4d_read_latest_logs', which handle similar resources individually.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, timing, or comparisons to siblings like 'pix4d_check_outputs' or 'pix4d_get_status', leaving usage context unclear.

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 summarizes warnings and errors, implying a read-only operation, but doesn't cover critical aspects like whether it requires specific permissions, how it handles missing logs, error rates, or the format of the summary. For a tool with 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 directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy for an agent to parse quickly. Every part of the sentence contributes 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 has an output schema (which should handle return values), no annotations, and low parameter coverage, the description is minimally adequate but incomplete. It covers the basic purpose but lacks usage guidelines, parameter details, and behavioral context, making it insufficient for full agent understanding without external schema references.

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%, meaning parameters 'lines' and 'project_dir' are undocumented in the schema. The description adds no information about these parameters—it doesn't explain what 'lines' controls (e.g., number of log lines to analyze) or how 'project_dir' affects the log location. With low coverage and no compensation in the description, this falls short of the baseline.

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: 'Summarize warnings and errors from the latest PIX4Dmatic log.' It specifies the action ('Summarize'), the target ('warnings and errors'), and the source ('latest PIX4Dmatic log'). However, it doesn't explicitly differentiate from sibling tools like 'pix4d_read_latest_logs', which might handle raw log reading rather than summarization of errors/warnings.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention sibling tools like 'pix4d_read_latest_logs' or 'pix4d_collect_diagnostics', nor does it specify prerequisites, contexts, or exclusions for usage. This leaves the agent without clear direction on 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 full burden. It states what the tool does but lacks behavioral details: it doesn't specify if focus brings the window to foreground, requires the app to be running, has side effects on other windows, or what happens on failure. For a UI interaction tool with zero annotation coverage, this is a significant gap in transparency.

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

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

The description is a single, clear sentence with zero wasted words. It's front-loaded with the core action and target, making it immediately understandable. Every word earns its place, and there's no redundancy or fluff.

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 0 parameters, 100% schema coverage, and an output schema exists, the description meets minimum requirements by stating the action. However, as a UI-focused tool with no annotations and multiple siblings, it lacks context about prerequisites (e.g., app must be launched), behavioral outcomes, or integration with other tools, leaving gaps in completeness.

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

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

The tool has 0 parameters, and schema description coverage is 100%, so there are no parameters to document. The description appropriately doesn't mention parameters, which is correct for this case. A baseline of 4 is applied as it handles the zero-parameter scenario adequately without unnecessary 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 action ('Focus') and target ('the PIX4Dmatic main window'), providing a specific verb+resource combination. However, it doesn't differentiate from sibling tools like 'pix4d_get_ui_tree' or 'pix4d_screenshot' which also interact with the UI, leaving room for ambiguity about when this specific focus action is needed versus other UI 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 provides no guidance on when to use this tool versus alternatives. With siblings like 'pix4d_get_ui_tree' for UI inspection or 'pix4d_wait_until_idle' for timing, there's no indication whether focus is needed before other interactions, if it's for accessibility, or in what workflow contexts it applies. The lack of context makes usage unclear.

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 returning status but doesn't disclose behavioral traits such as whether this is a read-only operation, if it requires the application to be running, potential latency, or error conditions. This leaves significant gaps for a tool interacting with an external process.

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

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

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

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

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

Given the tool has 0 parameters, 100% schema coverage, and an output schema exists, the description is minimally adequate. However, for a tool that interacts with an external application (PIX4Dmatic), more context on prerequisites (e.g., app must be launched) or return value meaning would be helpful, especially with no 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 tool has 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, aligning with the schema. Baseline is 4 for zero parameters, as it avoids unnecessary 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 verb ('Return') and the resource ('PIX4Dmatic process and window status'), making the purpose understandable. It distinguishes from siblings like pix4d_get_ui_tree (which returns UI structure) or pix4d_check_outputs (which checks outputs), though it could be more explicit about the distinction.

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

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

No guidance is provided on when to use this tool versus alternatives. For example, it doesn't specify if this should be used for monitoring processing status versus checking UI state, or when to prefer it over siblings like pix4d_find_log_errors for error detection.

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 returns a 'compact' tree without detailing behavioral traits like performance impact, permissions needed, or how the tree is structured. It mentions 'selector discovery' but doesn't explain what selectors are or how the output aids in this, leaving significant gaps 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 is front-loaded with the core purpose. Every word earns its place, with no wasted text, making it highly concise and well-structured for quick understanding.

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

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

Given the tool has an output schema, the description doesn't need to explain return values, but it lacks details on behavioral context and parameter meaning. With no annotations and low schema coverage, the description is minimally adequate but has clear gaps in explaining how the tool fits into the broader UI automation workflow with siblings.

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 no parameter semantics beyond the input schema, which has 0% description coverage and only one parameter 'depth' with a default. Since schema coverage is low (<50%), the description doesn't compensate by explaining what 'depth' means or its impact on the returned tree, resulting in a baseline score due to the single parameter.

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 ('Return') and resource ('UI Automation tree'), with the purpose 'for selector discovery' providing specific context. However, it doesn't explicitly differentiate from sibling tools like pix4d_screenshot or pix4d_focus, which might also relate to UI interaction, 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, such as when to prefer it over pix4d_screenshot for UI inspection or how it relates to other UI-focused tools. It lacks explicit when/when-not instructions or named alternatives, leaving usage context implied at best.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions launching or attaching to a process but doesn't describe what happens if the application is already running, whether this requires specific permissions, potential side effects (e.g., opening windows), or error handling. This is inadequate for a tool that interacts with external software.

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 action without unnecessary words. It's front-loaded with the core purpose and appropriately sized for the complexity, making it easy to parse quickly.

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

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

Given the complexity of launching/attaching to an external application, no annotations, and an output schema (which might cover return values), the description is incomplete. It lacks details on behavior, prerequisites, error cases, and how it integrates with sibling tools, making it insufficient for safe and effective use 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 1 parameter with 0% description coverage, and the tool description provides no information about the 'exe_path' parameter. Since there's only one parameter, the baseline is 4, but the description fails to add any meaning beyond the schema, such as explaining what 'exe_path' is for (e.g., custom executable location) or default behavior when null, so it's scored 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 'launch' and resource 'PIX4Dmatic' with the alternative action 'attach to existing process', making the purpose specific and understandable. However, it doesn't explicitly distinguish this from sibling tools like 'pix4d_focus' or 'pix4d_get_status', which might involve application state management, so it misses full sibling differentiation.

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

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

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., whether PIX4Dmatic must be installed), when to prefer launching vs. attaching, or how it relates to siblings like 'pix4d_focus' for application control, leaving usage context unclear.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions opening an existing project file but lacks details on permissions needed, whether it modifies the file, error handling (e.g., if the path is invalid), or what happens upon success (e.g., if it loads the project into memory). 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, direct sentence with no wasted words, making it highly concise and front-loaded. It efficiently communicates the core action without unnecessary elaboration, which is appropriate for a simple tool.

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

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

Given the tool has an output schema (which likely describes return values), the description doesn't need to explain outputs. However, with no annotations, 1 parameter at 0% schema coverage, and a mutation-like action ('Open'), the description is incomplete—it lacks behavioral context and parameter details. It's minimally adequate but has clear gaps 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?

The schema description coverage is 0%, so the description must compensate, but it only implies the parameter 'project_path' without explaining its format (e.g., file path syntax, supported extensions). This adds minimal meaning beyond the schema's title 'Project Path'. Given the low coverage, a baseline of 3 is assigned as the description hints at the parameter but doesn't fully document it.

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 ('Open') and resource ('an existing PIX4Dmatic project file'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from siblings like 'pix4d_launch' (which might open the application) or 'pix4d_run_job' (which might process a project), leaving room for ambiguity in distinguishing exact use cases.

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

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

No guidance is provided on when to use this tool versus alternatives. For example, it doesn't clarify if this should be used before running jobs or after launching the application, nor does it mention prerequisites like having a valid project file. The description only states what it does, not when or why to use it.

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. It states the tool reads logs but doesn't clarify what 'newest discovered' means (e.g., automatic detection vs. manual specification), whether it's a read-only operation (implied but not explicit), or any side effects (e.g., file locking). For a tool with zero annotation coverage, this leaves significant gaps in understanding its behavior.

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

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

The description is a single, well-structured sentence that efficiently conveys the core functionality without unnecessary words. It's front-loaded with the main action and resource, making it easy to parse quickly. Every part of the sentence serves a clear purpose.

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

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

Given that there's an output schema (which should describe return values), the description doesn't need to explain outputs. However, with 2 parameters, 0% schema description coverage, and no annotations, the description is too sparse—it doesn't clarify parameter purposes or behavioral nuances. For a log-reading tool in a PIX4Dmatic context, more detail on discovery mechanics and typical use would be beneficial.

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 schema provides no parameter descriptions. The tool description mentions 'recent lines' which hints at the 'lines' parameter, but doesn't explain the 'project_dir' parameter at all. It adds minimal semantic value beyond what's inferable from parameter names, failing to fully compensate for the lack of schema 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 action ('Read recent lines') and target resource ('newest discovered PIX4Dmatic log file'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate from sibling tools like 'pix4d_find_log_errors' which might also interact with logs, leaving some ambiguity about when to choose one over the other.

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 'pix4d_find_log_errors' or 'pix4d_collect_diagnostics'. It doesn't mention prerequisites (e.g., whether PIX4Dmatic must be running) or typical use cases (e.g., debugging, monitoring). Without such context, 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.

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 states 'load and run' which implies a write/mutation operation, but doesn't disclose behavioral traits such as whether it's destructive, requires specific permissions, has side effects (e.g., starting processing), or handles errors. This leaves significant gaps for a tool that likely performs critical actions.

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 very concise ('Load and run a JSON job file.'), which is efficient and front-loaded. However, it's arguably too brief given the tool's likely complexity, missing necessary details that could earn its place in a single sentence.

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 likely involves job execution (a complex operation), no annotations, 0% schema coverage, but with an output schema present, the description is incomplete. It doesn't explain what 'run' entails, potential impacts, or how it integrates with other tools, making it inadequate for safe and effective use despite the output schema.

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%, with one parameter 'job_path' undocumented in the schema. The description adds no meaning beyond the schema—it doesn't explain what 'job_path' represents (e.g., file path format, expected content of the JSON job file). This fails to compensate for the low coverage, leaving the parameter poorly 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 'Load and run a JSON job file' clearly states the action (load and run) and resource (JSON job file), but it's somewhat vague about what 'run' entails in this context (e.g., processing, execution). It distinguishes from siblings like 'pix4d_check_outputs' or 'pix4d_get_status' by focusing on job execution, but doesn't explicitly differentiate from 'pix4d_run_job_object' which likely handles similar 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?

No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a job file prepared), when not to use it, or how it relates to siblings like 'pix4d_run_job_object' or 'pix4d_start_processing'. The description implies usage for job execution but offers no contextual advice.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions running a job but doesn't clarify if this is a read-only or mutating operation, what permissions are needed, potential side effects, or how it interacts with the PIX4Dmatic environment. 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, clear sentence that efficiently states the tool's action and context. It's front-loaded with the core purpose and avoids unnecessary words, though it could be more informative without sacrificing conciseness.

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

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

Given the complexity implied by a 'job object' with nested properties, no annotations, and 0% schema coverage, the description is inadequate. While an output schema exists, the description doesn't address key aspects like what the job does, how it affects the session/project, or error handling, making it incomplete 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 0%, and the description doesn't add any meaning beyond the schema. It mentions 'job object' but doesn't explain its structure, required fields, or how it relates to the 'job' parameter. With 1 parameter and no schema descriptions, the description fails to compensate for the 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 states the action ('run a job object') and target ('against the current PIX4Dmatic session or an existing project_path'), which clarifies the basic purpose. However, it doesn't distinguish this tool from its sibling 'pix4d_run_job' or explain what a 'job object' entails, leaving the purpose somewhat vague.

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

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

No explicit guidance is provided on when to use this tool versus alternatives like 'pix4d_run_job' or 'pix4d_start_processing'. The mention of 'current session' or 'existing project_path' implies some context but doesn't specify prerequisites, exclusions, or comparative use cases.

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

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

With no annotations, the description carries full burden but only states the basic action without behavioral details. It doesn't disclose permissions needed, whether it overwrites files, rate limits, or what the output looks like (e.g., file format, naming). This is inadequate for a tool that likely involves file system operations.

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, direct sentence with no wasted words. It's front-loaded and efficiently conveys the core purpose without unnecessary elaboration, 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 1 parameter with 0% schema coverage, no annotations, and an output schema (which handles return values), the description is incomplete. It covers the basic action but misses key details like parameter meaning, behavioral traits, and usage context, making it only partially helpful for an agent.

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

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

Schema description coverage is 0%, but the description adds no parameter information beyond what the schema implies. The single parameter 'output_dir' is undocumented in both schema and description, though with 0 parameters, the baseline would be 4; here, 1 parameter exists but is not explained, so it's minimally adequate but lacks compensation for the coverage gap.

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

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

The description clearly states the action ('Save a screenshot') and the target ('current desktop'), which is specific and unambiguous. However, it doesn't differentiate from sibling tools like 'pix4d_get_ui_tree' or 'pix4d_collect_diagnostics' that might also involve capturing UI elements, so it lacks explicit sibling distinction.

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

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

No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., whether Pix4D must be running), exclusions, or comparisons to siblings like 'pix4d_get_ui_tree' for different capture needs, leaving usage context unclear.

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

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

No annotations are provided, so the description carries full burden. It mentions the action ('Send') but doesn't disclose behavioral traits like whether this requires PIX4Dmatic to be in focus, potential side effects (e.g., triggering unintended actions), error conditions, or response format. The description is minimal and lacks 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 and includes helpful examples. Every word earns its place with no redundancy or unnecessary elaboration.

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

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

Given 1 parameter with 0% schema coverage and an output schema (which reduces need to describe returns), the description provides basic purpose and parameter format but lacks details on usage context, prerequisites, error handling, or behavioral implications. It's minimally adequate but has clear gaps for a tool that interacts with an application UI.

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 value by explaining that the parameter is a 'pywinauto hotkey string' with examples ('^o' or '{F5}'), which clarifies the expected format beyond the schema's generic 'string' type. However, it doesn't cover syntax details, valid key combinations, or limitations, leaving gaps in parameter understanding.

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

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

The description clearly states the action ('Send a pywinauto hotkey string') and target application ('to PIX4Dmatic'), with specific examples ('^o' or '{F5}'). It distinguishes itself from siblings like pix4d_type_text (text input) and pix4d_click_menu (menu interaction) by focusing on keyboard shortcuts, though it doesn't explicitly name these alternatives.

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

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

The description implies usage for sending keyboard shortcuts to PIX4Dmatic, but provides no explicit guidance on when to use this tool versus alternatives like pix4d_click_menu or pix4d_type_text. It also doesn't mention prerequisites (e.g., PIX4Dmatic must be running/focused) or exclusions.

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

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

No annotations are provided, so the description carries full burden. It mentions 'clicking' which suggests a UI automation behavior, but fails to disclose critical traits: whether this is a read-only or destructive operation, authentication needs, error handling, rate limits, or what 'processing' entails. The description is insufficient for a tool with potential side effects.

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, straightforward sentence that's front-loaded with the core action. There's no wasted verbiage, though it could be more informative. It's appropriately sized for a simple tool but lacks depth.

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, no annotations, and an output schema (which helps but isn't described), the description is incomplete. It doesn't explain what 'processing' is, the tool's behavior, or parameter usage. For a UI automation tool with potential complexity, this leaves significant gaps for an agent to operate effectively.

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

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

Schema description coverage is 0%, so the description must compensate for two undocumented parameters. It provides no information about 'selectors' or 'timeout_sec'—what they mean, how they're used, or their impact. The description adds zero semantic value beyond the schema, leaving parameters completely unexplained.

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 'Start processing by clicking the first matching processing control' which provides a verb ('start processing') and action ('clicking'), but it's vague about what 'processing' entails and doesn't distinguish from siblings like 'pix4d_run_job' or 'pix4d_run_job_object'. It's not tautological but lacks specificity about the resource or domain 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?

No explicit guidance on when to use this tool versus alternatives. The description implies it's for starting processing via UI interaction, but it doesn't clarify prerequisites, when to choose this over programmatic job execution tools, or any exclusions. Usage is only loosely implied by the action described.

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

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

With no annotations, the description carries full burden but only states the basic action. It doesn't disclose behavioral traits like whether this simulates typing with delays, if it requires the control to be in a specific state, what happens on failure, or any side effects. This is inadequate for a mutation tool with zero annotation coverage.

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

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

The description is a single, efficient sentence that directly states the tool's function without unnecessary words. It is appropriately sized and front-loaded, with no wasted 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 complexity (simple text input), one parameter, and the presence of an output schema, the description is minimally adequate. However, it lacks details on usage context and behavioral aspects, which are important for a mutation tool with no 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 description implies the 'text' parameter is the plain text to type, adding meaning beyond the schema's 0% coverage. Since there's only one parameter, this is sufficient to compensate for the low schema coverage, making it clear what the input represents.

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 plain text') and target ('into the focused PIX4Dmatic control'), making the purpose evident. However, it doesn't explicitly differentiate from sibling tools like pix4d_click_text or pix4d_send_hotkey, which might involve text input in different ways.

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

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

No guidance is provided on when to use this tool versus alternatives. It doesn't mention prerequisites like needing a focused control or compare to siblings such as pix4d_click_text for text selection or pix4d_send_hotkey for keyboard shortcuts.

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

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

No annotations are provided, so the description carries full burden. It mentions monitoring CPU and logs for idle detection, but lacks details on behavioral traits like timeout handling, polling behavior, error conditions, or what 'idle' means operationally. This leaves gaps for an agent to understand how the tool behaves beyond basic purpose.

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

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

The description is a single, clear sentence that efficiently conveys the core purpose without unnecessary details. It's front-loaded and wastes no words, making it easy for an agent to parse quickly.

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

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

Given 5 parameters with 0% schema coverage and no annotations, the description is incomplete—it doesn't explain parameters or behavioral nuances. However, an output schema exists, so return values are covered. The description provides basic context but lacks depth for a tool with multiple configuration 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?

Schema description coverage is 0%, so the description must compensate. It doesn't mention any parameters, leaving all 5 parameters undocumented. The description hints at monitoring criteria (CPU and logs) but doesn't map to specific parameters like 'idle_cpu_percent' or 'poll_sec'. Baseline is 3 due to high schema coverage expectation, but the description adds minimal value.

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

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

The description clearly states the tool's purpose: 'Wait until PIX4Dmatic appears idle based on process CPU and recent logs.' It specifies the action (wait), the condition (idle), and the monitoring criteria (CPU and logs). However, it doesn't explicitly differentiate from siblings like 'pix4d_get_status' which might check status without waiting.

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 when needing to wait for PIX4Dmatic to become idle, such as after launching a job. It doesn't provide explicit alternatives or exclusions, but the context suggests it's for monitoring idle state, unlike siblings focused on actions like 'pix4d_run_job' or 'pix4d_get_status'.

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