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

No annotations exist, so the description must fully disclose behavior. It describes output but omits behavioral traits such as destructive potential, authentication needs, or performance implications. The description is limited to what is returned.

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 relatively concise at two sentences plus a 'Returns:' line. However, it slightly repeats the return information in both the main description and the returns section. It is front-loaded with key actions.

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 and the presence of an output schema, the description provides a high-level overview but lacks context on prerequisites, performance, or when the tool is most appropriate. It is adequate but not thorough.

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 zero parameters, so the description's role in adding parameter-level meaning is minimal. Baseline is 4 per rubric; the description does not contradict or need to explain 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 analyzes the 'complete driving scene with all sensors' and lists return types like annotated images and detected objects. It distinguishes from siblings by implying comprehensive analysis, but 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?

No guidelines are provided on when to use this tool versus alternatives like get_detected_objects or visualize_lidar_scene. The description does not include when-not or prerequisites.

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 must carry the full burden. It mentions return values but does not disclose potential side effects, error handling details, or blocking behavior. The phrase 'powerful generic tool' hints at danger but lacks explicit warnings.

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 clear and uses bullet-point examples and return structure. It is fairly concise, though the examples could be shortened slightly. It front-loads the purpose and maintains good structure.

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 3 parameters, high schema coverage, and the existence of an output schema, the description is mostly complete. It explains the tool's generic nature and provides examples. However, it could mention that the response structure varies by service type.

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 coverage is 100%, so baseline is 3. The description adds examples demonstrating usage but does not provide additional semantic meaning beyond the schema, such as formatting constraints for the 'request' 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 it can 'Call any ROS2 service directly,' which is a specific verb+resource. It distinguishes from sibling tools by being a generic service caller, while siblings like 'set_route' are specialized for specific services.

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 advises using 'list_ros2_services' to discover available services and provides examples. However, it does not explicitly mention when not to use this tool (e.g., when a specialized sibling tool exists) or alternative approaches.

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 explains input parameter (camera) and output (image path). However, it lacks details on whether the operation is destructive (overwrites existing files?), required permissions, or if it works in all vehicle states.

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 efficient with two short paragraphs and a bulleted Args section. Every sentence provides value. Minor improvement could be to remove redundancy in the Returns explanation.

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 a single parameter and presence of an output schema, the description covers the essential behavior. However, it does not specify file naming, location, or whether multiple captures are allowed. It lacks contextual guidance among many sibling tools.

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

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

The schema has 0% description coverage, so the description adds crucial meaning: it lists the allowed values for camera ('front, rear, left, right, traffic_light') and explains its purpose. This goes beyond the schema's minimal information.

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 ('Capture current camera view'), resource ('camera view'), and output ('save as image file'). It distinguishes from siblings by being the only tool explicitly for capturing camera images.

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 mentions the return path can be used with the Read tool, implying usage context. However, it does not explicitly state when to use this tool versus alternatives like visualize_lidar_scene or analyze_driving_scene, 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?

No annotations are provided. The description implies a read-only operation analyzing the ROS2 graph, but does not explicitly state that it has no side effects, require permissions, or have rate limits. For a status check, this is adequate but could be more explicit.

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 three sentences: first states purpose, second lists what is analyzed, third states return. 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 (status check of Autoware components) and the presence of an output schema, the description covers key aspects. It could mention that it requires a running Autoware system, but overall it is complete enough.

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 zero parameters, and schema description coverage is 100%. The description adds no parameter information because none exist. Baseline score of 4 is appropriate.

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

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

The description clearly states the tool checks current status of Autoware components and specifies it analyzes the ROS2 graph for active nodes, topics, and health. However, it does not explicitly differentiate from sibling monitoring tools like 'get_system_status' or 'health_check'.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'get_system_status' or 'monitor_diagnostics'. It does not mention when not to use it or any prerequisites.

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?

The description discloses the destructive action (terminates processes) and mentions scanning and zombie removal. However, it does not detail permissions required, reversibility, or scope, leaving some behavioral gaps.

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

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

The description is extremely concise: three sentences plus a returns note. It front-loads the action and provides essential information without any 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 no parameters and an output schema, the description covers the purpose and outcome well. It could mention potential side effects or conditions, but overall it is sufficiently complete for the tool's simplicity.

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 no parameters, so baseline is 4. Description does not need to add param meaning, and it appropriately omits param 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 'clean up' and specific resource 'orphaned processes from stale MCP instances'. It distinguishes this tool from all siblings, none of which perform process cleanup.

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 orphaned processes exist but lacks explicit guidance on when not to use or alternatives. With many siblings, clear when-not statements would be beneficial.

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 must disclose behavioral traits. It does not state whether the tool blocks until messages arrive, what happens if the topic doesn't exist, or if it has side effects. It only says 'capture and return', which is minimal.

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 short and front-loaded with purpose. The Args/Returns section is somewhat redundant with schema but not harmful. It could be more concise by omitting schema-repeated details, but overall it's efficient.

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 an existing output schema and 2 well-documented parameters, the description is adequate for basic usage. However, it lacks context on practical aspects (timeouts, error handling, real-time behavior) that would make it complete for a production 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 coverage is 100% (both parameters described in schema). The description does not add extra semantic detail beyond the schema; it merely restates parameter names and default. Baseline 3 is appropriate.

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

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

The description clearly states the action: 'Capture and return messages from a ROS2 topic.' The verb 'capture and return' combined with resource 'messages from a topic' is specific and distinct from siblings like 'get_topic_info' (metadata) or 'get_topic_frequency' (rate).

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 capturing a specified number of messages from a topic, but it lacks explicit guidance on when to use this tool over alternatives (e.g., blocking vs non-blocking, real-time vs sampling) and does not mention when not to use it (e.g., for high-frequency topics).

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 file creation location and versioning but does not disclose whether files are overwritten, what happens on errors, or any required permissions. For a creation tool, more behavioral context is needed.

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 a clear title, argument list, and return value. Every sentence is relevant and there is no unnecessary text. The structure aids 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 output schema exists and parameters are fully covered, the description adds some value with return path info. However, it lacks behavioral details such as error handling, overwrite behavior, or required environment. Overall adequate but with 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?

The schema description coverage is 100%, so the schema already documents all parameters. The description repeats the parameter names and types without adding meaningful additional context beyond what is in the schema. It does provide a return value description.

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

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

The description clearly states it generates a custom ROS2 node template and creates node files with versioning in a specific directory. The verb 'generate' and resource 'custom ROS2 node template' are specific and distinct from sibling tools like generate_launch_file or generate_node_config.

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 creating node templates but does not provide explicit guidance on when to use this tool versus alternatives, nor does it mention any prerequisites or when not to use it. The context is clear but lacks exclusions or comparative 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?

No annotations are provided, so the description must cover behavioral traits. It mentions versioning and a specific output directory, which implies non-destructive behavior, but does not clarify whether files are overwritten, permissions required, or side effects on the system.

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 relatively concise: two short paragraphs and a bullet list. The bullet list is redundant with the schema but does not significantly bloat it. The first sentence clearly states the tool's purpose.

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

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

Given 6 parameters, 2 required, no enums, and an output schema exists, the description adequately states the return value. However, it lacks details on versioning behavior, naming conventions, or error handling, which would be helpful for a file generation tool.

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

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

Schema description coverage is 100%, so baseline is 3. The description repeats parameter names and types from the schema without adding new meaning (e.g., 'name: Name for the launch file' is identical to the schema). No additional semantic 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 'Generate a ROS2 launch file for AI development.' It specifies the verb (generate) and resource (ROS2 launch file), and distinguishes from sibling tools like generate_custom_node or start_launch by focusing solely on launch file generation.

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 does not explicitly guide when to use this tool versus alternatives such as generate_custom_node or start_launch. It mentions templates but lacks context on when to choose this over other generation or launch 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?

The description discloses file creation location with versioning and return path. However, it does not mention permissions, overwrite behavior, or error handling. No annotations are provided, so the description carries the full burden.

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 three sentences and an Args block. It front-loads the main action and provides necessary details without excessive verbosity.

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?

The description explains the output path and versioning, and an output schema exists. However, it does not clarify versioning details or behavior with duplicate names. Adequate but not 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?

Schema description coverage is 100%, so the schema already describes all parameters. The description repeats parameter info without adding new constraints or semantics, earning the baseline 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 it generates a configuration file for a ROS2 node, using specific verb 'Generate' and resource 'configuration file'. It distinguishes from sibling tools like 'generate_launch_file' and 'generate_custom_node' by focusing on node configs.

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 generating node configuration files but does not explicitly state when to use this tool versus alternatives like 'generate_launch_file'. No when-not-to-use or preconditions are mentioned.

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 provided, so the description carries full burden. It discloses the return values (workspace path, ROS distribution, server settings) but does not mention any behavioral traits like side effects, authorization needs, or rate limits. Since it is a read operation, the lack of harm is implicit, but not explicit.

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 short (two sentences plus a bullet list), front-loaded with the main action, and every sentence adds value. No unnecessary 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 no parameters and an existing output schema, the description is complete. It explains what the tool returns without needing to repeat the output schema. The tool is simple and the description fully captures its purpose and output.

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 no parameters, so schema description coverage is 100%. The description adds value by listing the key returned fields, which helps an agent understand the output. Baseline for 0 params is 4, achieved here.

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 'Get current MCP server configuration' with a specific verb and resource. It lists the returned parameters, distinguishing it from other getter tools in the sibling set (e.g., get_system_status, get_vehicle_state).

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 context is clear: use when you need the server configuration. No explicit exclusions or alternatives are needed because this tool has a unique purpose. The description implies usage without ambiguity.

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, and the description only states it returns active cooperation policies. It does not disclose any behavioral traits such as side effects, idempotency, or access requirements, but the read-only nature is assumed from the verb 'get'.

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 with two short sentences. It is front-loaded with the purpose and a brief return description, containing no unnecessary 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 has no parameters and an output schema exists, the description provides sufficient context for its simple function. However, it could briefly mention that the output is structured or refer to the output schema for details.

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

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

The input schema has no parameters, and schema description coverage is 100% (0 parameters). The description adds no parameter information beyond the schema, which is adequate for a parameterless tool.

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

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

The description clearly states the tool retrieves current cooperation policies (verb 'get', resource 'cooperation policies'), and the name distinguishes it from sibling tools like set_cooperation_policies.

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?

Usage is implied by the name 'get' versus 'set' siblings, but there is no explicit guidance on when to use this tool or when to use alternatives like set_cooperation_policies or send_cooperation_commands.

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?

There are no annotations, so the description carries full burden. It does not disclose behavioral traits such as read-only nature, side effects, or permissions. The description only repeats the tool's purpose without additional 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 very concise with two sentences, front-loading the purpose. It is appropriately sized for a simple getter tool, though could include more context without becoming verbose.

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 existence of an output schema, the description only needs minimal return info. It mentions waypoints and progress, but lacks context such as relationship to sibling tools or when the route state is available. Completeness is adequate but not thorough.

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 no parameters, so schema coverage is 100%. The baseline is 3 as no parameter information is needed. The description adds nothing beyond the schema, but that is acceptable given no 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 tool name 'get_current_route' and description 'Get current route state' clearly indicate a retrieval operation. The description mentions return of waypoints and progress, distinguishing it from sibling tools like set_route and set_route_points which are write 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 such as set_route or set_route_points. No context is given for typical usage scenarios or prerequisites.

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 provided, so description carries full burden. Only states it returns a list with positions, velocities, classifications. Lacks disclosure of latency, accuracy, or any constraints. Minimal 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?

Two sentences with clear header and structured Args/Returns. Front-loaded purpose, no redundant words. Highly efficient.

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?

Simple tool with one parameter; description explains filter and output type. Output schema exists, so return details are covered. Overall adequate for complexity.

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 coverage is 0%, but description adds meaning by specifying allowed values (all, vehicle, pedestrian, bicycle, motorcycle) and filter purpose. Compensates well for lacking 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?

Description clearly states verb (Get) and resource (list of currently detected objects) with specific attributes (positions, velocities, classifications). Differentiates from sibling perception tools like get_perception_snapshot by focusing on object list with filtering.

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?

Implied usage: retrieving detection results. No explicit guidance on when to use this tool versus alternatives like get_perception_snapshot, nor any prerequisites 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?

With no annotations, the description should disclose behavioral traits. It only states it retrieves error messages and stderr logs, but does not mention side effects, idempotency, or whether it requires an active session. Minimal disclosure beyond basic functionality.

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 (two sentences plus Args/Returns block) and front-loaded with purpose. However, the Args/Returns section is redundant with the description. No fluff, but could be more streamlined.

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 low complexity (one parameter, simple read), the description covers the purpose and return type. An output schema exists, so return values are covered. Missing usage context slightly reduces 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?

Schema description coverage is 100%, so baseline is 3. The description adds little beyond the schema: 'Session ID to get errors from' is essentially the same as the schema's 'Session ID'. No additional parameter semantics provided.

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 it retrieves error diagnostics from a launch session, specifying verb and resource. However, it does not explicitly differentiate from siblings like get_session_logs, which also retrieve logs but likely include all logs for a session.

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 implies usage for error diagnostics after a launch, but does not clarify prerequisites, exclusions, or compare to get_session_logs.

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 what the tool returns but does not explicitly disclose read-only behavior, side effects, or requirements. The description is adequate but lacks explicit safety or behavioral notes.

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 single sentence stating the purpose, followed by Args and Returns. Every sentence is informative and there is no wasted text.

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?

The description adequately covers the input and output for a simple info retrieval tool. It mentions what the return includes (publishers, subscribers, services, parameters). However, it omits error handling or behavior when node is not found, but this is acceptable given the simplicity.

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 beyond the input schema: it specifies 'Full name of the node (including namespace)', clarifying the expected format. Schema description coverage is 100%, so baseline is 3, but the extra context justifies a 4.

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 information about a specific ROS2 node.' It uses a specific verb and resource, and distinguishes from sibling tools like 'list_ros2_nodes' which lists all nodes.

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 does not provide any guidance on when to use this tool versus alternatives. It only describes the required argument but no context such as prerequisites or when not to use.

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 the output includes multiple images and object data in a dictionary with paths, but lacks details on potential latency, format specifics, or blocking behavior. Adequate but not rich.

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 with two sentences plus a return line, front-loaded with key information. 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 complexity of multi-modal data and the existence of an output schema (covering return details), the description is reasonably complete. It mentions images and object data, though it could be slightly more specific about the number of images or type of detection data.

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

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

No parameters exist, baseline is 4. The description adds meaning beyond the empty schema by explaining what the tool returns and its composition.

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 'comprehensive perception snapshot', listing specific components (camera, LiDAR, object detection overlays). It distinguishes well from siblings like capture_camera_view, get_detected_objects, and visualize_lidar_scene.

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 a multi-sensor snapshot, but does not explicitly state when to use this tool versus alternatives like capture_camera_view or get_detected_objects. No when-not-to-use guidance is given.

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 provided, so description holds full burden. It indicates read-only retrieval of buffered logs but lacks details on side effects, limitations, or whether logs are consumed.

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 a clear structure: title, summary, parameters, returns. 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 complexity, schema coverage, and presence of output schema, the description provides adequate completeness with parameter and return value explanations.

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 coverage is 100%, but the description adds meaningful context beyond schema, such as clarifying the log stream as stdout or stderr.

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 retrieves buffered logs from a launch session, using specific verbs and resource. It distinguishes from siblings like get_launch_errors.

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 retrieving logs after a launch session but does not explicitly state when to use this tool versus alternatives or when not 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?

With no annotations, the description carries the burden. It discloses the return fields (PID/PGID, state, nodes) but does not mention side effects, authorization needs, or rate limits. Some value added but not extensive.

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?

Three sentences covering purpose, parameters, and returns. Efficient and front-loaded. 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?

Simple tool with one parameter and an output schema (present but not detailed in description). The description is adequate for a query tool, listing key return fields. Could include more context on the output structure, but not necessary given the 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 coverage is 100%, and the description repeats the parameter description from the schema without adding additional meaning or syntax details. No extra value beyond the schema.

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

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

The description clearly states the verb 'get' and the resource 'detailed status of a specific launch session', and adds specificity by listing returned fields (PID/PGID, state, nodes). However, it does not differentiate from sibling tools like get_session_logs or get_system_status.

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 on when to use this tool versus alternatives. The description only states what the tool does without providing context for appropriate usage, prerequisites, or 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, the description carries full weight. It indicates a read-only operation ('Get') and lists return fields, which is sufficient for a zero-parameter tool. No side effects or constraints are noted, but the simplicity mitigates concerns.

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 verb and purpose. The bullet list of return fields is clear, though a single line might be more efficient. No unnecessary 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 has no parameters and an output schema exists, the description adequately explains the return values. It covers CPU, memory, disk, network, and processes. No additional context about error conditions or usage scenarios is needed.

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

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

There are zero parameters and schema coverage is 100% (trivial). The description adds value by enumerating the returned data fields, which compensates for the lack of parameter documentation.

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

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

The description uses a specific verb ('Get') and resource ('system resource usage and status'), clearly distinguishing it from sibling tools like 'health_check' or 'get_vehicle_state' which focus on other aspects.

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

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

No explicit when-to-use or when-not-to-use guidance is given, but the purpose is clear enough to infer it as a general system monitoring tool. No alternatives are mentioned.

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 provided. Description implies read-only operation ('Measure') and mentions return of frequency info, but does not explicitly state that the tool is non-destructive or if it has 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?

Extremely concise: a single purpose sentence plus structured Args/Returns. No wasted words; information is front-loaded 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?

For a simple tool with full schema and output description, the coverage is nearly complete. Minor gap: does not mention prerequisites (e.g., topic must exist) or ROS2 environment context, but overall sufficient.

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 coverage is 100% with descriptions for both parameters. The description repeats the parameter names and defaults, adding minimal value beyond the schema (no examples or format 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?

Description clearly states the action ('Measure') and the resource ('publishing frequency of a ROS2 topic'), making the tool's purpose distinct from siblings like 'echo_topic_messages' (view messages) or 'publish_to_topic' (send messages).

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 vs. alternatives or when not to use it. The context is implied (measuring frequency), but lacks exclusions or comparative usage tips.

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 implies a read-only operation by using 'Get', but does not explicitly confirm no side effects, authentication needs, or resource implications. Adequate but not explicit.

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, with two paragraphs: one for purpose and args, one for returns. Every sentence is necessary and no wasted words. Well-structured with clear 'Args' and 'Returns' sections.

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

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

For a simple tool with one input parameter and an output schema, the description is complete: it specifies input, output summary (message type, publisher/subscriber counts), and context. All relevant aspects are covered succinctly.

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 coverage is 100% with the description of 'topic_name' as 'Name of the ROS2 topic'. The description repeats this and adds examples (e.g., '/tf', '/map'), which adds marginal value. Baseline 3 is appropriate since the schema already documents the 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 'Get detailed information about a specific ROS2 topic', using a specific verb and resource. It distinguishes from sibling tools like 'list_ros2_topics' (lists topics) and 'echo_topic_messages' (echoes messages) by focusing on detailed metadata of a single topic.

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 is provided. The description implies usage for getting topic metadata, but does not state exclusions or contrast with similar tools such as 'get_topic_frequency' or 'list_ros2_topics'.

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 present, so the description carries the full burden. It discloses the return categories (dimensions, status, kinematics, timestamp) but does not mention behavioral traits such as read-only nature, permissions, or potential side effects. The name 'get' implies safety, but explicit disclosure is absent.

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, well-structured with bullet points, and every sentence adds value. It front-loads the purpose and then details the return content 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 zero parameters and an output schema, the description is complete. It explains what the tool does, the categories of returned data, and includes a timestamp note. There are no gaps for this level of complexity.

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 no parameters, and schema description coverage is 100%. According to guidelines, baseline is 3 when coverage is high. The description adds no parameter semantics (none exist) but provides return structure, which is not directly about 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 specifies the tool retrieves comprehensive vehicle state including dimensions, status, and kinematics. It uses a specific verb ('Get') and resource ('vehicle state'), and mentions it is a unified tool that combines data, which hints at its advantage over separate monitoring tools, though it does not explicitly differentiate from siblings.

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 as a one-stop for vehicle state via 'unified tool', but lacks explicit guidance on when to use it versus alternative sibling tools like monitor_motion_state or get_detected_objects. No when-not or context-based recommendations are provided.

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

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

No annotations provided, so description carries full burden. It discloses output categories and overall health status but does not explicitly state read-only nature, authentication needs, or potential side effects. However, as a health check, it is reasonably transparent.

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?

Description is concise, front-loaded with the main purpose, and uses bullet points for clarity. No superfluous 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 (no parameters, output schema exists), the description fully specifies what the tool returns and covers all necessary aspects for an AI agent to invoke it correctly.

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

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

Tool has zero parameters with 100% schema coverage. Baseline for 0 parameters is 4. Description adds no parameter info, but none is needed.

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

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

The description specifically states 'Get complete health status of the Autoware MCP server' and lists covered categories (system resources, ROS2 status, workspace config). It clearly distinguishes from siblings like get_system_status or check_autoware_status by emphasizing comprehensiveness.

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 broad usage for checking overall health but does not explicitly state when to use this tool over more specific ones like get_system_status or get_launch_errors. No guidance on when not to use it or alternative 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 bears full responsibility for behavioral disclosure. It mentions a return value with success status but fails to describe side effects, permission requirements, or behavior on repeated calls. Important behavioral traits like whether this overwrites existing localization are missing.

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 brief and well-structured with clear 'Args:' and 'Returns:' sections. Every sentence is functional, with no extraneous information. It is appropriately concise for a tool with simple inputs and outputs.

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

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

Given that an output schema exists, the description adequately covers input/output specifications. However, it lacks context on whether the tool can be called multiple times, if it overwrites existing state, or if it requires a specific system state. This gap reduces completeness for a tool that likely has side effects.

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

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

Schema description coverage is 100%, so the baseline is 3. The description repeats schema descriptions for both parameters ('Initial pose with position and orientation' and 'Pose covariance matrix') without adding new semantic details, such as the structure of the pose object or how covariance is used.

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 ('initialize localization') and the required resource ('pose'). It is specific about the operation, though it does not elaborate on the context of 'localization' or distinguish it from sibling tools like 'monitor_localization_state'.

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 on when to use this tool versus alternatives. There is no mention of prerequisites, scenarios, or conditions under which initialization is appropriate. The description simply states the action without contextual usage 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. It discloses the return format (Dictionary by category), which is useful. No side effects or permissions are mentioned, but for a read-only list tool, this is sufficient.

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?

Three short sentences with no superfluous content. The key information is front-loaded (action and resource), followed by examples and return type.

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

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

For a tool with no parameters, a simple list output, and good sibling differentiation, the description is complete. An agent can confidently invoke it without ambiguity.

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?

There are zero parameters, so schema coverage is trivially 100%. The baseline is 4 per guidelines, and the description does not need to add param info.

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 the resource 'AI-generated files', specifying subcategories (launches, nodes, configs). It distinguishes itself from sibling list tools like 'list_launch_sessions' and 'list_ros2_nodes' by focusing on generated files rather than runtime entities.

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?

Usage is implied as a simple listing tool, but no explicit guidance is provided on when to use it over alternatives or when not to use it. Given the straightforward nature, it's adequate but lacks proactive differentiation.

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?

The description implies a read-only operation but does not explicitly state that it has no side effects or any other behavioral traits. Since no annotations are present, the description could be more explicit about safety or permissions.

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 short but slightly repetitive; the first two sentences convey similar information. It is mostly front-loaded and efficient.

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

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

Given no parameters and an output schema that likely defines return values, the description is sufficiently complete for a simple list operation, though it could mention what 'comprehensive information' entails.

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?

There are no parameters, so the description does not need to add meaning beyond the schema. The baseline for zero parameters is 4, and the description is adequate.

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 uses the specific verb 'List' and clearly identifies the resource as 'all launch sessions,' distinguishing it from siblings like get_session_status which likely returns a single session.

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

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

No guidance is provided on when to use this tool versus alternatives such as get_session_status or get_launch_errors. There is no mention of prerequisites or limitations.

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

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It reveals only that the tool lists behaviors, without stating its read-only nature, safety, or any side effects. Lack of detail makes it insufficient for full 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 extremely concise with two clear sentences. No unnecessary words, and the structure is front-loaded with the purpose, followed by a return description.

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

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

Given the tool's low complexity (no parameters, output schema present), the description provides all necessary information. It correctly states what the tool does and what it returns, which is sufficient for an agent to invoke it without ambiguity.

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

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

The tool has zero parameters, so baseline is 4. The description adds minimal value by noting that the return is a list of behavior types, which is already implied by the name. However, since schema coverage is complete by definition, the description does not detract.

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

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

The description clearly states the tool's purpose: listing available MRM behaviors. It uses a specific verb ('List') and resource ('MRM behaviors'), distinguishing it from sibling tools like 'request_mrm' or 'monitor_mrm_state'.

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 (e.g., before requesting an MRM). The description does not mention context or prerequisites, leaving the agent without explicit usage cues.

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?

Discloses it lists active nodes and returns node names with namespaces. No annotations exist, so description carries full burden and does so well.

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?

Two concise sentences with no unnecessary words. Front-loaded with action and resource.

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

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

For a simple list tool with output schema, description is complete: states scope (active) and return value (names and namespaces).

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?

No parameters, schema coverage 100%, description adds meaning by specifying return content (node names and namespaces).

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?

Clear verb 'List all active' and specific resource 'ROS2 nodes'. Distinguishes from sibling tools like list_ros2_services and list_ros2_topics.

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?

Implies usage for listing active ROS2 nodes. No explicit when-not or alternatives, but purpose is self-explanatory.

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

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

No annotations are provided, so the description carries full burden. It states the return type (list of service names) but lacks details on side effects, permissions, or whether the operation is safe. It does not mention that listing services is read-only.

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?

Two concise sentences with no wasted words. The purpose and return value are stated upfront.

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?

Despite no parameters and a likely output schema, the description is too sparse. It does not explain what constitutes an active service, whether the list is dynamic, or if there are any filtering options. For a tool in a large system, more context is needed.

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

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

There are no parameters, so the description does not need to explain them. The empty schema is fully covered. The description adds the purpose of the tool 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 specifies the verb 'list', the resource 'ROS2 services', and the scope 'in the system'. It clearly distinguishes from sibling tools like list_ros2_nodes and list_ros2_topics by explicitly naming services.

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, exclusions, or context (e.g., before calling a service).

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 provided, so description carries full burden. It only states basic function with no disclosure of side effects, permissions, or performance impact. Minimal 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?

Two short sentences, front-loaded with purpose, no wasted words. Highly concise.

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

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

For a parameterless tool with an output schema, the description is nearly complete. It covers the core functionality but lacks error handling or polling advice. Still, adequate for a simple list operation.

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?

Zero parameters, schema coverage 100%. Baseline of 4 applies as no parameter info needed; description adds nothing but also doesn't miss anything.

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?

Description clearly states the tool lists all active ROS2 topics, with a specific verb and resource. It distinguishes from topic-related siblings like echo_topic_messages, get_topic_info, etc.

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 on when to use this tool vs alternatives like get_topic_info or echo_topic_messages. No conditions, prerequisites, or when-not-to-use mentioned.

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 provided, so description carries full burden. It claims 'real-time' without clarifying if it provides a continuous stream or a snapshot. No mention of permissions, side effects, or performance implications, leaving key behavioral traits unspecified.

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?

Extremely concise at two sentences, but lacks necessary detail. Conciseness is good, but under-specification hinders utility.

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?

Simple tool with no parameters and an output schema, but the description fails to provide enough context to distinguish it from many similar sibling tools. The brief description does not cover typical use cases or relational information.

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

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

No parameters, so schema coverage is 100%. Baseline 4 per rules. Description adds no parameter information, which is acceptable as none exist.

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?

Description states 'Get real-time diagnostics status' which is a clear verb-resource pair, but it is vague about what 'diagnostics' encompasses. Among many sibling monitoring tools like 'get_system_status', 'monitor_localization_state', and 'health_check', it does not differentiate itself adequately.

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 on when to use this tool versus alternatives. With numerous sibling tools that perform similar monitoring functions, the absence of usage context makes selection ambiguous.

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

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

Without annotations, the description carries the full burden. It implies a read-only operation ('monitor') but does not disclose details like whether it is expensive, blocking, or what exactly constitutes 'quality metrics'. The transparency is adequate but minimal.

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, consisting of two short sentences. It is front-loaded with the purpose and efficiently uses words with no 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?

For a monitoring tool with no parameters and an output schema, the description is minimally complete. However, it lacks contextual cues like when to call it (e.g., after initialization), what triggers state changes, or how to interpret quality metrics. Additional context would improve 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?

There are no parameters, and the input schema is empty. Schema description coverage is 100%, so the description does not need to add parameter information. Baseline score of 4 is appropriate 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 monitors localization initialization state and returns state and quality metrics. The verb 'monitor' and resource 'localization initialization state' are specific, but it does not explicitly differentiate from similar sibling tools like monitor_motion_state or monitor_diagnostics.

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

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

No guidance is provided on when to use this tool versus alternatives like monitor_motion_state or initialize_localization. The description lacks any usage context, prerequisites, 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 responsibility. It only states the tool monitors and returns state and readiness, without disclosing behavior like whether it is a continuous stream or a one-shot query, whether it blocks, or if it requires any system state. This is insufficient for a transparent behavioral understanding.

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 with two short sentences. It is front-loaded with the purpose in the first line. Every word is necessary and no filler is present.

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

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

Given the tool has no parameters and an output schema exists, the description need not detail return values. It adequately describes the core function. However, it could mention any side effects or dependencies, but for a simple monitor tool, this is acceptable.

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

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

The tool has zero parameters, and schema coverage is trivially 100%. The description adds no parameter information, but the baseline is 4 per the rubric. The description correctly indicates no inputs are needed.

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

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

The description clearly states the tool's purpose: 'Monitor current motion state.' The verb 'monitor' and resource 'motion state' are specific. Among sibling tools, 'monitor_motion_state' is distinct from other monitor tools (e.g., 'monitor_localization_state', 'monitor_mrm_state'), making its 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 no guidance on when to use this tool versus alternatives. It does not mention prerequisites, conditions, or scenarios where this tool is preferable. For a tool with many sibling monitor tools, such guidance is important.

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 the full burden of disclosure. It states the tool returns MRM state and active behaviors, implying a read-only operation. However, it does not explicitly declare non-destructiveness, performance characteristics, or whether it triggers any side effects. The disclosure is 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 exceptionally concise: two sentences, no fluff. The action ('Monitor') is front-loaded. Every word contributes meaning. It efficiently conveys the core purpose and return value.

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

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

Given no parameters and an output schema, the description is adequate but incomplete for full context. It does not explain what 'MRM' stands for, which could be essential for an agent. Among many monitor siblings, a brief definition would improve completeness. However, the return description is clear.

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?

There are no parameters in the input schema, so the description naturally adds no parameter details. This is acceptable since no parameters exist. The baseline score of 4 is appropriate.

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

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

The description clearly states the tool monitors current MRM state and returns state plus active behaviors. The verb 'monitor' and resource 'MRM state' are specific. However, 'MRM' is not defined, which may cause ambiguity for agents unfamiliar with the domain. It distinguishes from sibling tools like 'list_mrm_behaviors' and 'monitor_localization_state' by focusing on state rather than behaviors or other subsystems.

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 'list_mrm_behaviors' or 'monitor_motion_state'. There is no mention of prerequisites, frequency, or 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?

The description indicates a read-only monitoring behavior (non-destructive). While no annotations are provided, the description discloses that it returns state information, which is sufficient for a monitoring tool. No behavioral contradictions are present.

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 consists of two concise sentences with no wasted words. It is front-loaded with the purpose and clearly states the return value.

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

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

Given the tool has no parameters and an output schema (existence indicated), the description sufficiently covers the purpose and return value. No additional context is needed for a simple monitoring tool.

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

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

The tool has no parameters, and schema coverage is 100% (empty). The description does not need to add meaning beyond the schema. It appropriately describes what the tool does without parameter 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 monitors the current operation mode state and specifies the return includes 'Current operation mode and control state'. It uses the specific verb 'monitor' and the resource 'operation mode', distinguishing it from sibling tools like 'set_operation_mode'.

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 (e.g., 'monitor_motion_state', 'monitor_diagnostics'). However, the name and description imply it is for reading the operation mode, and siblings like 'set_operation_mode' suggest a clear contrast. Usage is implied 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?

No annotations are present, so the description bears full responsibility for disclosing behavior. It only states that the tool returns 'System heartbeat status' but does not specify if the action is read-only, whether it has side effects, or if it requires specific permissions. The minimal description fails to convey behavioral traits beyond the name.

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 with two lines. It uses a clear 'Returns:' structure. While efficient, it could include a bit more context without becoming verbose, but it earns a high score for brevity.

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?

Despite having an output schema and no parameters, the description lacks completeness. It does not explain the meaning of 'heartbeat status', the possible values, or how it differs from similar tools like 'health_check'. Given the complex sibling set, more context is needed to help the agent select this tool appropriately.

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 no parameters, and the input schema is empty with 100% coverage. The description adds no parameter information, but none is needed. The baseline for zero parameters is 4, and the description does not detract from this.

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: 'Monitor system heartbeat.' It uses a specific verb and resource, making the action evident. However, it does not differentiate from sibling tools like 'health_check' or 'get_system_status', which may 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?

No usage guidelines are provided. The description does not indicate when to use this tool instead of alternatives, nor does it mention prerequisites or contexts. Given the presence of many similar sibling tools, this is a significant gap.

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?

The description discloses the use of SIGSTOP and process suspension, implying the session is temporarily halted and can be resumed. However, it does not mention permissions, side effects (e.g., state upon resume), or any destructive behavior. Since no annotations exist, the description carries the full burden but provides only basic behavioral information.

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, using a clear docstring format with Args and Returns sections. It avoids unnecessary detail but is not excessively terse. One minor issue: the Returns line is generic but acceptable.

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?

The tool has a simple interface (one parameter, no nested objects) and an output schema exists, so the description does not need to cover return values. However, the description omits any contextual information about prerequisites, errors, or post-conditions, which would help 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 schema description coverage is 100% (the parameter 'session_id' is described both in the schema and in the description's Args). The description adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate.

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

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

The description clearly specifies the action ('Pause a running launch session'), the mechanism ('using SIGSTOP'), and the effect ('Suspends all processes in the session's process group'). It distinguishes from sibling tools like resume_launch, stop_launch, and start_launch.

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 (e.g., stop_launch for termination, restart_launch for restart). The description lacks context about the appropriate scenarios for pausing.

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 provided, so description must carry behavioral transparency. It states returns success/error, implying attempt and outcome. It lacks details on validation, permissions, or potential system impact (e.g., publishing to critical topics). Adequate but not thorough.

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?

Description is short, front-loaded with purpose, and includes actionable examples. Every sentence serves a purpose with 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 moderate complexity (3 params, nested object) and presence of output schema, the description covers key aspects: purpose, parameters, return values. Missing edge-case behavior like type mismatch handling, but overall 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 coverage is 100% with descriptions for all parameters. The description adds value with concrete examples showing expected JSON structure for message, clarifying 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 'Publish a message to any ROS2 topic' with explicit verb and resource. It distinguishes from sibling tools like 'echo_topic_messages' (which listens) and 'get_topic_info' (discovers types).

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

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

Provides clear context to use 'get_topic_info' to discover message types, and includes examples. However, it does not explicitly state when not to use this tool or mention alternatives or potential side effects.

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 responsibility for disclosing behavioral traits. It does not warn about potential destructive effects (e.g., vehicle stopping, trajectory changes), required permissions, or side effects. The return value description is minimal and lacks details on success/failure conditions.

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 with no unnecessary words. It uses a clear Args/Returns structure and front-loads the primary purpose. Every sentence adds value without repetition.

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 action-oriented nature of the tool (initiating a maneuver) and the presence of an output schema, the description should provide more behavioral context, such as prerequisites (e.g., vehicle must be in a specific mode), potential impacts, and what the 'current state' entails. The current description leaves significant gaps for an agent to use the tool safely.

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 coverage is 100% and the description merely repeats parameter names and types without adding meaning. It does not explain valid 'behavior' values or provide examples of 'reason'. The description adds no value beyond the schema, meeting the baseline but not exceeding 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 'Request' and the resource 'Minimum Risk Maneuver (MRM)', making the tool's primary function unambiguous. While it distinguishes from sibling tools that monitor or list MRM states, it does not explicitly differentiate itself from similar command tools.

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

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

No guidance is provided on when to use this tool versus alternatives, such as monitor_mrm_state or list_mrm_behaviors. There is no mention of prerequisites, preconditions, or scenarios where this tool should or should not be invoked.

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 provided. The description only states 'Reset diagnostics' and the return type, without disclosing side effects (e.g., clearing diagnostic data), required permissions, or confirmation 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 extremely concise with no wasted words. It uses a two-line format that is front-loaded 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?

For a parameterless tool with an output schema, the description is mostly complete: it states the action and return value. However, it could be more explicit about what 'reset' entails (e.g., clears all diagnostic data).

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

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

No parameters exist, so baseline is 4. The description correctly does not add parameter info since none are needed.

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

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

The description clearly states the tool does 'Reset diagnostics,' which is a specific verb+resource. The name itself distinguishes it from siblings like monitor_diagnostics, but the description does not explicitly differentiate.

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 on when to use this tool versus alternatives like monitor_diagnostics or check_autoware_status. The description does not mention prerequisites or typical scenarios.

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

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

No annotations provided, so description bears full burden. It discloses that it stops and starts a session, creates a new session with same config, and returns old/new IDs. However, it does not mention side effects, prerequisites, or error cases, but is sufficient for a simple 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 very concise with two sentences plus structured Args/Returns. No wasted text; every sentence adds value.

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?

The tool is simple with one parameter and output schema exists (though not shown). Description covers the core action and return value. Could mention error conditions or prerequisites, but overall complete given complexity.

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 coverage is 100% and the description of the single parameter ('Session ID to restart') is identical to the schema description. No additional meaning or format details are added, so baseline score of 3 applies.

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 restarts a launch session by stopping and starting with the same configuration. It uses a specific verb 'restart' and resource 'launch session', and the phrase 'with same config' distinguishes it from starting a new session or stopping.

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 restarting with same config, but does not explicitly state when to use this tool versus alternatives like calling stop_launch then start_launch. No excluded contexts or alternative tools are mentioned.

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 the burden of behavioral disclosure. It mentions SIGCONT and process continuation, but does not specify prerequisites (e.g., session must be paused), side effects, or safety considerations.

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 a clear summary line and structured Args/Returns. No extraneous text, but could be condensed further.

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

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

For a simple resume action, the description adequately explains the operation and return status. However, it misses context like the session must be paused, and lacks detail on output schema structure.

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 coverage is 100%, and the description's parameter info (Session ID to resume) adds no new meaning beyond the schema. Baseline 3 applies as description adds marginal 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 resumes a paused launch session using SIGCONT, which is a specific verb-resource pair. It distinguishes from sibling tools like pause_launch and start_launch by focusing on resumption.

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 on paused sessions but does not explicitly state when to use versus alternatives or exclude non-paused sessions. No guidance on prerequisites or 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?

Without annotations, the description must convey behavioral traits. It only states it sends a command and returns acknowledgment, but does not disclose critical details like whether the vehicle must be in a specific mode, whether the command overrides other inputs, or safety implications.

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 short and front-loaded with the action, but lacks structure (e.g., sections for arguments and returns). It could benefit from a more organized format while remaining concise.

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 control nature and safety implications, the description is incomplete. It does not explain the acknowledgment format, error conditions, or prerequisites like vehicle state. With only one parameter and no annotations, more context is needed.

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

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

Schema coverage is 100% as the parameter's description already explains 'Target acceleration in m/s²'. The description merely restates this, adding no additional meaning or context beyond what the schema provides.

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

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

The description clearly states the tool sends an acceleration control command, but it does not differentiate from sibling tools like send_velocity_command or send_pedals_command, 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?

No guidance is provided on when to use this tool versus alternatives, such as send_velocity_command for speed control or send_steering_command for lateral control. The description lacks context on prerequisites or scenarios.

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

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

No annotations provided, and the description does not disclose any behavioral traits such as destructiveness, authentication needs, or side effects. The agent has no insight into the tool's impact.

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 short but includes structured Args and Returns sections. However, it is overly minimal and the Args description is tautological.

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?

Despite the presence of an output schema, the description lacks context about the nature of cooperation commands, their format, and the tool's role in the overall system.

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 already describes the 'commands' parameter, and the description adds no new meaning. With 100% schema coverage, baseline 3 is appropriate.

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

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

The description clearly states the verb 'Send' and the resource 'cooperation commands', distinguishing it from sibling tools like get_cooperation_policies and set_cooperation_policies.

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 on when to use this tool versus alternatives or what prerequisites are needed. The description does not provide context for appropriate usage.

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

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

No annotations are provided, and the description only mentions sending a command and returning acknowledgment. It omits important behavioral details such as side effects on vehicle motion, safety considerations, or whether the command is asynchronous.

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 with two sentences plus a structured argument list. Every word serves a purpose, no redundant or superfluous content.

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

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

Despite an output schema existing, the description does not explain the return value beyond 'Command acknowledgment'. It lacks context about real-world effects, error conditions, or usage constraints, making it incomplete for a command tool.

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

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

Schema coverage is 100%, and the description merely repeats the schema's parameter descriptions ('Throttle position (0-1)', 'Brake position (0-1)'). No additional semantics beyond the schema are provided, so baseline 3 is appropriate.

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

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

The description states 'Send pedals control command' clearly indicating the verb and resource. It does not explicitly differentiate from sibling tools like send_acceleration_command or send_steering_command, but the specific resource (pedals) provides sufficient 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 on when to use this tool versus alternatives such as send_acceleration_command or send_velocity_command. The description lacks context about typical scenarios 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 provided, so description carries the burden. It states the action and parameter but does not disclose side effects, permissions, or what 'Command acknowledgment' entails. Minimally adequate.

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?

Extremely concise: two sentences covering purpose and parameter, with zero 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?

Tool is simple; output schema exists so return values are covered. However, no context about when this command is appropriate (e.g., only when vehicle is in a certain mode). Adequate for a basic command.

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 coverage is 100% and the description repeats the schema's parameter description ('Steering angle in radians') without adding new semantics.

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 steering control command') and the resource ('steering'), distinguishing it from sibling tools like send_acceleration_command or send_velocity_command.

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 on when to use this tool versus alternatives, nor any prerequisites or context for sending a steering command.

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?

Without annotations, the description carries the full burden of behavioral disclosure. It only states that the tool sends a command and returns an acknowledgment, but does not reveal any side effects, state changes, authentication requirements, or safety considerations. This is insufficient for a control 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 concise (three lines) and front-loaded with the main action. However, it is arguably too sparse, missing context that could be added without significant length.

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 a single parameter and an existing output schema, the description adequately covers the basics. However, it lacks contextual information about the role of velocity control within the broader system (e.g., vehicle longitudinal control) which would help an agent understand its place among many sibling tools.

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

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

Schema description coverage is 100%, so the baseline is 3. The description repeats the schema's parameter info ('velocity: Target velocity in m/s') without adding new meaning. It does not include any additional detail about the parameter's usage or constraints.

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

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

The description clearly states the tool's purpose: 'Send velocity control command'. It uses a verb+resource structure and distinguishes from sibling tools like 'send_acceleration_command' and 'send_steering_command' by specifying 'velocity' control. However, it does not explicitly differentiate its usage context or scope.

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

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

No guidance is provided on when to use this tool versus alternatives like 'send_acceleration_command' or 'send_pedals_command'. The description lacks prerequisites, exclusions, or context about appropriate scenarios.

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

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

No annotations are provided, so the description must disclose behavioral traits. It only states 'Set cooperation policies' and the return includes 'Success status and active policies', but fails to explain whether setting is additive or overwriting, what permissions are needed, or any 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 extremely concise, with two short sentences. It is front-loaded with the core purpose. However, some additional detail could be added without harming conciseness, so it is not a perfect 5.

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 is a setter with one parameter and an output schema exists, the description is adequate but not complete. It does not explain the expected structure of policies, error behavior, or how the output 'Success status and active policies' is formatted. More context would help the agent use it correctly.

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

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

Schema description coverage is 100% (the 'policies' parameter has a description 'Cooperation policies to set'). However, the parameter is a freeform object with no constraints, and the description adds no structural hints or examples. Baseline 3 is appropriate as schema does most of the work.

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

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

The description clearly states 'Set cooperation policies' with a specific verb and resource. It is distinguishable from sibling tools like 'get_cooperation_policies' (retrieve) and 'send_cooperation_commands' (send commands), so an agent can easily understand its purpose.

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

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

The description provides no guidance on when to use this tool versus alternatives. There is no mention of prerequisites, context, or scenarios where this tool is appropriate, leaving the agent to infer usage from the name alone.

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

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

The description outlines the return structure ('success status and current mode') and mentions a transition_time parameter. However, it lacks details on behavioral aspects such as error handling, side effects (e.g., what happens to other systems), authentication requirements, or behaviour on timeout. With no annotations, a higher bar is 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 extremely concise and well-structured: a brief intro, a list of modes, and clear 'Args' and 'Returns' sections. Every sentence serves a purpose, and the organization makes 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?

For a simple tool with only two parameters and an output schema, the description covers the essential aspects: modes, parameters, and return structure. It could be more complete by clarifying transition behavior (e.g., what happens if the transition fails or times out), but overall it provides sufficient context for safe use.

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

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

The input schema already has 100% coverage with descriptions for both parameters. The description repeats this information in the 'Args' section but does not add significant new meaning beyond stating the modes. The default for transition_time is also in the schema. Thus, the description adds marginal 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: 'Change vehicle operation mode.' It lists all possible modes (stop, autonomous, local, remote), making the resource and action specific. The tool is distinct from sibling tools, which mostly monitor or control other aspects of the vehicle.

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 implicitly indicates when to use the tool (to change operation mode), but it does not provide explicit guidance on when not to use it or alternative tools. No exclusions or context-dependent advice is given, which limits its helpfulness for an AI agent deciding between 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, the description fully bears the burden of behavioral disclosure. It only states 'Set a route' without describing side effects (e.g., overwriting the current route), asynchronous behavior, error states, or prerequisites. This is insufficient for a mutation command.

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 with clear sections for Args and Returns. It covers all parameters without fluff. However, the inclusion of the Returns section could be considered slightly redundant if the output schema is present, but it aids clarity.

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?

Though the output schema is marked as existing, it is not shown; the description partially compensates by noting the return includes 'success status and route information'. However, behavioral completeness is lacking, as details about side effects or prerequisites are missing for a command 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?

Input schema coverage is 100%, and the description repeats the schema's parameter explanations ('Goal pose with position and orientation', 'Optional waypoints', 'Route options') without adding new semantic meaning. The baseline score of 3 is appropriate as no additional value is provided.

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

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

The description clearly states the action 'Set a route' targeting a 'goal pose', establishing a specific verb and resource. This differentiates it from sibling tools like 'get_current_route' (reading) and 'set_route_points' (alternative method), making the tool's 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 no explicit guidance on when to use this tool versus alternatives like 'set_route_points'. Usage is implied as the standard method to set a route to a goal pose, but exclusions and preferences are absent.

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 return type (route response with success and information) but does not disclose side effects, required permissions, or whether the operation is destructive. A mutation tool like this should explicitly state that it modifies the route.

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: 4 lines with a clear summary followed by parameter descriptions. No unnecessary words, and the key action is stated first.

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 low parameter count and presence of an output schema, the description is fairly complete. It explains the tool's purpose, parameters, and return value. It could be enhanced by noting the context (e.g., Autoware route setting) but is adequate for the agent.

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

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

Schema description coverage is 100%, so baseline is 3. The description adds minor details: 'waypoints with position and orientation' goes beyond the schema's 'Waypoints for the route'. The option parameter is described similarly to the schema. The added value is marginal.

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 indicates the tool sets a route with specific waypoints. It uses a specific verb (set) and resource (route with waypoints), and the function name and description together distinguish it from siblings like 'set_route' and 'get_current_route'.

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 sibling 'set_route' suggests a simpler route setting without specific waypoints, but the description does not advise on choosing between them.

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 discloses session tracking, PID/PGID cleanup, and persistence across reconnections, but lacks details on potential side effects, system requirements, or error handling.

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 with sections (headline, explanation, Args, Returns) and is front-loaded with the core purpose. It is concise but could be slightly more efficient by removing redundant phrasing.

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 presence of an output schema, the description adequately covers return values (ID, PID, PGID, status). It explains session persistence and tracking, but does not address error scenarios or behavior when the launch fails.

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 coverage is 100%, so parameters are already documented. The description adds minor clarification (e.g., 'optional parameters to pass to launch') but does not significantly enhance understanding 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 'Start a ROS2 launch file and track the session,' specifying a concrete verb and resource. It distinguishes from sibling tools like 'test_launch_file' or 'stop_launch' by focusing on starting a new session with PID/PGID tracking.

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 starting launch files but does not explicitly state when to use this tool versus alternatives like 'test_launch_file' or 'validate_launch_file'. No prerequisites or exclusions are mentioned.

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 and does well: it explains graceful stop (SIGTERM, timeout, then SIGKILL) and the force option (immediate SIGKILL). It clearly signals that the tool terminates processes. While it could mention side effects or irreversibility, the signal-based behavior is sufficiently disclosed.

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: three sentences plus an Args list. It front-loads the main action. The Args list is redundant with the schema but not overly verbose. It could be slightly tighter by omitting the list, but overall it is well-structured and efficient.

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?

The description covers the stop mechanism and parameters adequately. However, it lacks mention of the return value's meaning (beyond 'status') and does not relate to sibling tools (e.g., hinting that stopped sessions may require start_launch again). The output schema likely fills some gaps, but the description could be more complete 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 coverage is 100% (all parameters described in schema), giving a baseline of 3. The description adds value by explaining how parameters affect behavior: e.g., 'force: If True, use SIGKILL immediately' and how timeout is used in the graceful shutdown sequence. This extra context improves understanding beyond the schema's minimal 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: 'Stop a launch session gracefully or forcefully.' It specifies the verb 'stop' and the resource 'launch session,' and explains the mechanism (SIGTERM then SIGKILL). This distinguishes it from sibling tools like pause_launch (which suspends) or restart_launch (which restarts).

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 does not explicitly guide when to use this tool versus alternatives like pause_launch or restart_launch. It explains how it works but omits context such as 'Use this to terminate a session completely; use pause_launch to temporarily suspend it.' Given multiple related tools, this absence of comparative guidance is a notable gap.

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 disclosing behavioral traits. While it mentions dry-run and validation, it fails to specify side effects when dry_run=False (e.g., whether nodes are actually started or stopped), resource requirements (e.g., requires a running ROS environment), or whether the operation is destructive. The description is incomplete for safe tool invocation.

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 reasonably concise: a one-line purpose, followed by structured 'Args' and 'Returns' sections. It avoids verbose explanations, but the 'Args' section duplicates schema information. The structure is clear and front-loaded with the core purpose, making it 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 presence of an output schema (inferred from context), the description need not detail return structure, and it provides a brief 'Returns' line. However, the tool's complexity (testing with optional start/stop) and lack of annotation coverage suggest more context is needed, such as whether a successful test guarantees system stability or what state the system should be in beforehand. The description is adequate but leaves 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 100%, so the schema already documents both parameters adequately. The description's 'Args' section largely repeats the schema (file_path as 'Path to launch file', dry_run as 'If True, only validate without starting'). It adds the default value for dry_run, but that is already in the schema. No additional semantic nuance beyond the schema is provided, meeting the baseline for high-coverage schemas.

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: testing a launch file with a dry-run option (validating syntax without fully starting nodes) and optionally attempting to start/stop. This distinguishes it from the sibling 'validate_launch_file' which likely only validates syntax without the start/stop option. However, the phrase 'optionally attempts to start/stop' is ambiguous regarding whether the tool actually starts nodes when dry_run=False.

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 explicit guidance on when to use this tool versus alternatives like 'validate_launch_file', 'start_launch', or 'stop_launch'. It does not mention prerequisites, when not to use, or how it fits into a workflow. This leaves the agent without decision support 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 provided, so description carries full burden. It mentions checking syntax and required functions, and returns success/errors. However, it doesn't explicitly state that the tool is read-only or has no side effects, leaving some ambiguity.

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 a clear structure (Args, Returns). No redundant information, and it front-loads the primary purpose. Slightly more detail than necessary, but still efficient.

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 low complexity (one parameter, simple output), the description adequately covers the tool's behavior and return values. The presence of an output schema further reduces the need for return details. Sufficient for an agent to understand usage.

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

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

Schema coverage is 100% and the description repeats the parameter's purpose ('Path to launch file') without adding additional meaning beyond the schema. Baseline of 3 is appropriate.

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

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

The description clearly states the tool validates launch file syntax and structure, specifically checking Python syntax and required functions. This distinguishes it from siblings like test_launch_file.

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 vs alternatives like test_launch_file. The description implies validation before launching, but lacks when-not-to-use or prerequisites.

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