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 'activate' but doesn't disclose what activation entails (e.g., starts traffic interception, requires specific permissions, may affect system performance). It hints at parameter validation issues but doesn't explain risks or behavioral traits like side effects, rate limits, or error 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 two sentences with zero waste: the first states the purpose, the second provides crucial usage guidance. It's front-loaded with the core function and efficiently addresses the most important contextual information.

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

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

For a tool with 3 parameters, no annotations, and no output schema, the description is adequate but incomplete. It covers purpose and usage guidelines well but lacks behavioral details (what activation does, side effects) and output expectations. Given the complexity of activating interceptors with custom options, more context would be helpful.

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 all parameters. The description adds minimal value beyond the schema: it implies 'id' refers to an interceptor and 'options' are interceptor-specific, but doesn't provide examples or clarify semantics like what interceptor IDs look like or common option patterns.

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: 'activate any interceptor by ID with custom options'. It specifies the verb ('activate'), resource ('interceptor'), and mechanism ('by ID with custom options'). However, it doesn't explicitly differentiate from siblings like 'deactivate_interceptor' or 'list_interceptors' beyond mentioning dedicated tools for specific interceptor 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?

The description provides explicit guidance on when to use this tool versus alternatives: 'Use the dedicated tools (intercept_chrome, intercept_docker_container, etc.) when possible for better parameter validation.' This clearly states a preference for sibling tools in specific cases, making it easy for an agent to choose appropriately.

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

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

With no annotations provided, the description carries the full burden. It discloses key behavioral traits: it creates a temporary session, uses WebSocket for real-time events, collects data for a specified duration, and returns all captured exchanges. However, it lacks details on permissions needed, error handling, or rate limits, which are important for a tool involving network interception.

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

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

The description is front-loaded with the core purpose in the first sentence, followed by operational details in a logical flow. Each sentence adds essential information without redundancy, making it efficient and easy to parse for an AI agent.

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

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

Given the tool's complexity (involving live interception and WebSocket communication), no annotations, and no output schema, the description is adequate but incomplete. It explains what the tool does and the input, but lacks details on output format (e.g., structure of captured exchanges), error cases, or dependencies on other tools (e.g., needing an active interceptor).

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

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

The input schema has 100% coverage with a clear description for the 'duration' parameter. The description adds value by explaining the parameter's role in the overall process ('collects requests and responses for the specified duration'), linking it to the tool's purpose. Since there's only one parameter, the baseline is high, and the description enhances 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 the specific action ('capture live HTTP(S) traffic'), the resource ('traffic being intercepted by HTTP Toolkit'), and the mechanism ('creates a temporary session, subscribes to traffic events via WebSocket, collects requests and responses'). It distinguishes from siblings like 'send_http_request' (which sends rather than captures) or 'list_interceptors' (which lists rather than captures traffic).

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

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

The description provides clear context on when to use it: 'to see what HTTP requests are being made by intercepted browsers, apps, or containers.' This implies it should be used after interception tools (e.g., 'intercept_chrome') are active. However, it does not explicitly state when not to use it or name specific alternatives among siblings, such as for non-live traffic 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 carries full burden. It states the action and outcome but lacks details on permissions, side effects (e.g., if deactivation is reversible), error handling, or rate limits. For a mutation tool with zero annotation coverage, this is insufficient.

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

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

The description is a single, efficient sentence with zero waste. It's front-loaded with the core action and outcome, making it easy to parse quickly.

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

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

For a mutation tool with no annotations and no output schema, the description is incomplete. It lacks behavioral context (e.g., what happens on success/failure, return values), and while parameters are covered by the schema, overall guidance for safe use is minimal.

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

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

Schema description coverage is 100%, with clear descriptions for both parameters ('id' and 'proxyPort'). The description doesn't add meaning beyond the schema, such as format examples or interdependencies. Baseline 3 is appropriate as the schema does the heavy lifting.

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

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

The description clearly states the action ('Deactivate') and the resource ('a running interceptor'), specifying the outcome ('stop capturing its traffic'). It distinguishes from siblings like 'activate_interceptor' (opposite action) and 'list_interceptors' (read-only).

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. It doesn't mention prerequisites (e.g., interceptor must be active), exclusions, or compare to related tools like 'shutdown_server' or 'capture_traffic'. Usage is implied but not articulated.

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 key behavioral traits: it 'Automatically disables most certificate pinning' (a security bypass feature), requires a rooted device and Frida server (permissions/environment), and references setup tools (prerequisites). It doesn't mention rate limits, error handling, or what 'intercept' entails operationally, but covers critical context.

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

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

The description is front-loaded with the core purpose, followed by key behavioral detail and prerequisites. All three sentences earn their place: first states what it does, second adds a critical feature (certificate pinning disable), third specifies requirements and setup steps. Zero 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?

For a complex tool with no annotations and no output schema, the description does well: it explains the purpose, key behavior, and prerequisites. It could be more complete by detailing what 'intercept' means (e.g., traffic capture, code injection) or output expectations, but given the sibling tools (like 'capture_traffic'), context is partially covered. The high schema coverage helps.

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

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

Schema description coverage is 100%, so the schema fully documents all parameters. The description adds no parameter-specific information beyond what's in the schema. However, it implicitly contextualizes parameters by mentioning the interception process and setup tools, but doesn't explain individual param roles. Baseline 3 is appropriate given high schema coverage.

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

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

The description clearly states the specific action ('Intercept a specific Android app using Frida dynamic instrumentation') and distinguishes it from siblings like 'frida_ios_intercept' (different platform) and 'intercept_android_adb' (different method). It specifies the technology (Frida) and target (Android app).

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 explicitly states prerequisites ('Requires a rooted device with Frida server running') and directs to specific sibling tools for setup ('use frida_android_setup and frida_android_launch first'). It also implies when to use this tool vs. alternatives by specifying the Frida-based Android interception method.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions a prerequisite ('Must run frida_android_setup first') which adds some context, but fails to describe what the tool actually does behaviorally—such as whether it starts a background service, requires specific permissions, has side effects on the device, or how it handles errors. For a tool that likely involves device interaction and server management, this is insufficient.

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

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

The description is extremely concise with just two sentences, front-loading the core action ('Launch the Frida server on an Android device') and following with essential prerequisite information. Every word serves a purpose, with no redundant or unnecessary details, making it highly efficient and well-structured.

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

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

Given the complexity of launching a server on an Android device, no annotations, and no output schema, the description is incomplete. It lacks details on behavioral outcomes (e.g., success indicators, error handling), side effects, or what the tool returns. The prerequisite mention helps, but for a tool with potential device-level operations, more context is needed to ensure safe and correct usage.

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

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

Schema description coverage is 100%, with both parameters ('proxyPort' and 'hostId') documented in the schema. The description adds no additional parameter information beyond what's in the schema, such as explaining what these parameters represent in the context of launching the Frida server (e.g., 'proxyPort' for network configuration or 'hostId' for device identification). Baseline 3 is appropriate as the schema handles the documentation burden.

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 ('Launch') and target resource ('Frida server on an Android device'), making the purpose immediately understandable. However, it doesn't explicitly differentiate this tool from its sibling 'frida_android_setup' beyond mentioning it as a prerequisite, nor does it distinguish it from other Android-related tools like 'frida_android_intercept' or 'intercept_android_adb' in terms of functionality 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?

The description provides explicit guidance on when to use this tool by stating 'Must run frida_android_setup first,' establishing a clear prerequisite and sequence. However, it doesn't specify when NOT to use this tool (e.g., for iOS devices or other server types) or mention alternatives like 'frida_ios_intercept' for different platforms, leaving some contextual gaps.

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

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

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions installing components (Frida server and CA certificate) which implies a mutation/write operation, but doesn't disclose permission requirements, whether changes are reversible, potential device impacts, or error handling. This is a significant gap for a setup tool with zero annotation coverage.

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

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

Two sentences with zero waste. The first sentence states the core action and target, the second explains the purpose and what gets installed. Every word earns its place with no redundancy or fluff.

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

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

For a setup/mutation tool with no annotations and no output schema, the description is adequate but incomplete. It explains what the tool does but lacks information about behavioral traits, return values, error conditions, or dependencies. Given the complexity of device setup operations, more context would be beneficial.

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

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

Schema description coverage is 100%, so the schema already documents both parameters. The description doesn't add any parameter-specific information beyond what's in the schema. The baseline score of 3 is appropriate when the schema does the heavy lifting for parameter documentation.

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

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

The description clearly states the specific action ('Set up a Frida host'), target resource ('Android device connected via ADB'), and purpose ('prepares the device for app-level interception by installing the Frida server and CA certificate'). It distinguishes from siblings like frida_android_intercept or frida_android_launch by focusing on setup rather than interception or launching.

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

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

The description implies usage context ('prepares the device for app-level interception') but doesn't explicitly state when to use this tool versus alternatives like intercept_android_adb or other Frida tools. It mentions the need for ADB connection but doesn't provide guidance on 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 provided, the description carries the full burden. It discloses key behavioral traits: it's an interception tool (implies read/write access), automatically disables certificate pinning, and has specific prerequisites. However, it doesn't mention potential side effects (e.g., app instability), performance impact, or what happens after interception ends.

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 (two sentences) and front-loaded with the core purpose. Every word earns its place by specifying the target (iOS app), method (Frida), key feature (certificate pinning disable), and prerequisites without any fluff.

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

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

Given the complexity (interception tool with security implications), no annotations, and no output schema, the description is somewhat incomplete. It covers the what and prerequisites but lacks details on what the interception actually captures, how to use the proxy port, error conditions, or expected outcomes. For a tool with this level of complexity, more behavioral context would be helpful.

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 all parameters thoroughly. The description adds no additional parameter information beyond what's in the schema, maintaining the baseline score of 3 for adequate coverage through structured data alone.

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

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

The description clearly states the specific action ('Intercept a specific iOS app') using a specific method ('using Frida dynamic instrumentation'), distinguishes it from siblings by specifying iOS (vs. Android in other Frida tools), and mentions automatic certificate pinning disablement.

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

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

The description provides clear prerequisites ('Requires a jailbroken device running Frida Server connected via USB') which indicates when this tool can be used. However, it doesn't explicitly state when to choose this tool versus alternatives like 'frida_android_intercept' or 'intercept_ios_adb' (if that existed), though the iOS focus provides some implicit 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?

With no annotations provided, the description carries full burden for behavioral disclosure. It states this is a 'Get' operation (implying read-only), but doesn't mention whether it requires specific permissions, what format the configuration is returned in, whether it's cached, or any error conditions. For a configuration tool with zero annotation coverage, this leaves significant behavioral gaps.

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

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

The description is a single, efficient sentence that front-loads the core purpose and then lists specific configuration elements. Every word earns its place - there's no redundancy or unnecessary elaboration.

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

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

Given the tool's moderate complexity (configuration retrieval), no annotations, no output schema, and 100% schema coverage for a single optional parameter, the description is minimally adequate. It tells what configuration elements are included but doesn't address return format, error handling, or relationship to other tools, leaving the agent to make assumptions.

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

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

The schema has 100% description coverage for its single parameter (proxyPort), so the baseline is 3. The description doesn't add any parameter-specific information beyond what's in the schema - it doesn't explain when proxyPort should be specified, what happens if omitted, or how it affects the returned configuration.

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 'HTTP Toolkit proxy configuration', with specific details about what's included (certificate paths, network interfaces, system proxy, DNS servers). It distinguishes from siblings like 'get_network_interfaces' by specifying it's about proxy configuration specifically, though it doesn't explicitly contrast with other configuration-related 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?

The description provides no guidance on when to use this tool versus alternatives. There's no mention of prerequisites, timing considerations, or comparison to sibling tools like 'get_network_interfaces' or 'get_interceptor_metadata'. The agent must infer usage context from the tool name alone.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the return includes 'available targets like Docker containers, Android devices, JVM processes, etc.' which adds some context about output content, but doesn't cover critical aspects like whether this is a read-only operation, error conditions, authentication needs, or rate limits.

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

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

The description is efficiently structured in two sentences: one stating the core purpose and one describing the return value. There's no wasted text, though it could potentially be more front-loaded with critical usage information.

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

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

For a read operation with 2 parameters and no output schema, the description provides basic purpose and return content but lacks important context. Without annotations, it should ideally mention that this is a safe read operation, any authentication requirements, and more specifics about the metadata structure returned.

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 fully documents both parameters. The description doesn't add any parameter-specific information beyond what's in the schema descriptions. The baseline of 3 is appropriate when the schema does all the parameter documentation 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 the verb ('Get') and resource ('detailed metadata for a specific interceptor'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'list_interceptors' or 'get_config' beyond mentioning the specific metadata 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?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites, when not to use it, or how it differs from similar tools like 'list_interceptors' (which likely lists all interceptors rather than getting metadata for a specific one).

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states it 'lists' interfaces, implying a read-only operation, but doesn't specify if this requires permissions, returns real-time or cached data, includes error handling, or details the output format (e.g., JSON, list). This leaves significant gaps in understanding the tool's behavior.

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

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

The description is a single, clear sentence that directly states the tool's purpose without any fluff or unnecessary details. It's front-loaded and wastes no words, making it highly efficient and easy to parse.

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

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

Given the tool has no parameters and no output schema, the description is minimally adequate for a simple listing operation. However, without annotations or output details, it lacks context on permissions, data format, or error cases, which could be important for an agent to use it correctly in a network monitoring environment.

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

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

The input schema has 0 parameters with 100% coverage, meaning no parameters are documented in the schema. The description doesn't add parameter details, which is appropriate here since there are none to explain. It efficiently avoids redundancy, earning a high score for not over-explaining non-existent parameters.

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

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

The description clearly states the action ('List') and resource ('network interfaces on the system'), making the tool's purpose immediately understandable. However, it doesn't differentiate itself from potential sibling tools that might also list network interfaces, such as 'list_interceptors' which could overlap in functionality, preventing a perfect score.

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

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

The description provides no guidance on when to use this tool versus alternatives. With sibling tools like 'capture_traffic' or 'intercept_*' tools that might involve network interfaces, there's no indication of whether this is for inspection, configuration, or other contexts, leaving the agent without usage direction.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It indicates a read-only operation ('Get'), but does not specify if it requires authentication, has rate limits, or details the return format. It adds basic context but lacks depth for a tool with no annotation support.

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

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

The description is a single, efficient sentence that front-loads the essential information with no wasted words. It is appropriately sized for a simple tool with no parameters, making it easy to parse and understand quickly.

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

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

Given the tool's simplicity (no parameters, no annotations, no output schema), the description is adequate but minimal. It explains what the tool does but does not cover behavioral aspects like response format or error handling, which could be useful despite the low 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 zero parameters, and the schema description coverage is 100%. The description does not need to add parameter details, as there are none to document. It appropriately focuses on the tool's purpose without redundant 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 specific action ('Get') and resource ('current HTTP Toolkit server version'), distinguishing it from siblings that handle interception, configuration, or traffic management. It precisely communicates the tool's function without ambiguity.

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 version information, but provides no explicit guidance on when to use this tool versus alternatives like 'get_config' or 'trigger_update'. It lacks context on prerequisites or exclusions, leaving usage inferred rather than directed.

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 key behavioral traits: it intercepts HTTP(S) traffic, automatically injects HTTPS certificates for rooted devices and most emulators, and implies it requires ADB connectivity. However, it lacks details on permissions, rate limits, or what happens during interception.

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

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

The description is front-loaded with the core purpose in the first sentence, followed by a key capability in the second. Both sentences earn their place by providing essential information without redundancy or unnecessary details.

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

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

Given no annotations and no output schema, the description is moderately complete. It covers the tool's purpose and a key behavioral trait (certificate injection), but lacks details on prerequisites (e.g., ADB setup), error handling, or return values, which are important for a tool with 3 parameters and potential 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 description coverage is 100%, so the schema already documents all parameters. The description does not add any meaning beyond what the schema provides, such as explaining how 'proxyPort' relates to traffic routing or 'deviceId' selection. Baseline 3 is appropriate given high schema coverage.

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

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

The description clearly states the specific action ('Intercept HTTP(S) traffic') and resource ('Android device or emulator connected via ADB'), distinguishing it from sibling tools like 'intercept_chrome' or 'frida_android_intercept' by specifying the ADB-based Android interception method.

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

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

No explicit guidance is provided on when to use this tool versus alternatives like 'frida_android_intercept' or 'intercept_chrome'. The description mentions automatic certificate injection for rooted devices and emulators, but this is a capability statement rather than usage guidance.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively describes key behaviors: launching a new Chrome window, intercepting HTTP(S) traffic, and using an isolated profile. However, it omits details like potential side effects (e.g., resource usage), prerequisites (e.g., Chrome installation), or error handling, leaving gaps in transparency.

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

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

The description is concise and front-loaded, consisting of two sentences that efficiently convey the tool's purpose and key features (interception and isolation). Every sentence adds value without redundancy, making it easy to parse quickly.

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

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

Given the tool's moderate complexity (launching and intercepting a browser), no annotations, and no output schema, the description is somewhat complete but lacks details on return values, error conditions, or operational constraints (e.g., timeouts, dependencies). It covers the core functionality adequately but leaves room for improvement in contextual depth.

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

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

The input schema has 100% description coverage, with the single parameter 'proxyPort' documented in the schema. The description does not add any parameter-specific information beyond what the schema provides, such as typical port values or proxy setup details, so it meets the baseline for high schema coverage without compensating further.

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

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

The description clearly states the specific action ('Launch a fresh independent Chrome window') and resource ('with all HTTP(S) traffic intercepted'), distinguishing it from siblings like 'intercept_firefox' or 'intercept_android_adb' by specifying the Chrome browser target. It also mentions the isolated profile feature, which further differentiates its behavior.

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

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

The description implies usage context ('fresh independent Chrome window', 'isolated profile') but does not explicitly state when to use this tool versus alternatives like 'intercept_firefox' or 'intercept_existing_terminal'. It provides some guidance on the tool's scope but lacks explicit comparisons 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 provided, the description carries the full burden of behavioral disclosure. It mentions injection of proxy settings but lacks critical details: whether this requires elevated permissions, if it affects container performance, if changes are reversible, what happens to existing traffic, or potential side effects. The description is insufficient for a mutation tool with zero annotation coverage.

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

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

Two sentences with zero waste—front-loaded with the core purpose and followed by implementation detail. Every word earns its place, making it highly efficient and well-structured.

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

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

For a mutation tool with no annotations and no output schema, the description is incomplete. It lacks information on prerequisites (e.g., Docker daemon access), behavioral impact (e.g., traffic disruption), error conditions, or what the tool returns. Given the complexity of intercepting container traffic, 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 description coverage is 100%, so the schema already documents both parameters. The description adds no additional meaning beyond what the schema provides (e.g., it doesn't explain proxyPort usage in context or containerId format). Baseline 3 is appropriate when the schema handles parameter documentation.

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

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

The description clearly states the specific action ('intercept all HTTP(S) traffic'), target resource ('running Docker container'), and mechanism ('injects proxy settings'). It distinguishes from siblings like 'intercept_android_adb' or 'intercept_chrome' by specifying Docker containers.

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. While it mentions using 'get_interceptor_metadata' to list containers, it doesn't clarify when to choose this over other intercept tools (e.g., 'intercept_existing_terminal') or how it relates to sibling tools like 'activate_interceptor' or 'capture_traffic'.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions launching and intercepting traffic, but doesn't cover critical aspects like whether this requires specific permissions, if it's destructive (e.g., modifies app behavior), rate limits, or what happens on failure. This leaves significant gaps for a tool that likely involves system-level operations.

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

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

The description is concise with two sentences: the first states the core purpose, and the second provides a usage tip. It's front-loaded and wastes no words, though the second sentence could be more integrated into the main purpose.

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

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

Given the complexity (launching and intercepting an app), no annotations, no output schema, and 2 parameters, the description is incomplete. It doesn't explain what the tool returns, potential side effects, or error handling, making it inadequate for safe and effective use by an AI agent.

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

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

Schema description coverage is 100%, so the schema already documents both parameters ('proxyPort' and 'pathToApplication'). The description adds no additional meaning beyond what's in the schema, such as example values or constraints. Baseline 3 is appropriate when the schema does the heavy lifting.

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

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

The description clearly states the tool's purpose: 'Launch an Electron application with all its HTTP(S) traffic intercepted.' It specifies the verb ('Launch'), resource ('Electron application'), and key behavior ('traffic intercepted'). However, it doesn't explicitly differentiate from siblings like 'intercept_chrome' or 'intercept_firefox' beyond mentioning Electron specifically, which is why it's not a 5.

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

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

The description provides implied usage guidance by referencing 'get_interceptor_metadata with id "electron" to list available Electron apps,' suggesting this tool should be used after identifying apps. However, it lacks explicit when-to-use vs. alternatives (e.g., compared to 'intercept_existing_terminal' or 'intercept_fresh_terminal'), and no 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 but lacks critical behavioral details. It doesn't disclose whether this is a read-only or destructive operation, what permissions are needed, whether it affects terminal functionality, or any rate limits. The description mentions it 'returns shell-specific commands' but doesn't explain what happens after running those commands or potential side effects.

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

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

Two sentences with zero waste. First sentence states purpose and scope, second sentence specifies output format. Every word earns its place, and key information is front-loaded.

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

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

For a tool with 1 parameter (100% schema coverage) but no annotations and no output schema, the description is minimally adequate. It explains what the tool does and what it returns, but lacks important behavioral context about safety, side effects, and what happens after command execution. The absence of output schema means the description should ideally explain return values more thoroughly.

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% (parameter 'proxyPort' is fully described in schema), so baseline is 3. The description doesn't add any parameter-specific information beyond what the schema provides about 'proxyPort', nor does it explain relationships between parameters and the returned commands.

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

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

The description clearly states the specific action ('Get a command to run'), target resource ('existing terminal'), and purpose ('start intercepting HTTP(S) traffic from processes launched in that terminal'). It distinguishes from sibling tools like 'intercept_fresh_terminal' by specifying 'existing terminal' and from 'capture_traffic' by focusing on setup rather than ongoing capture.

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

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

The description implies usage context: when you have an existing terminal and want to intercept traffic from processes launched there. It doesn't explicitly state when NOT to use it or name alternatives, but the context is clear enough to differentiate from tools like 'intercept_fresh_terminal' (for new terminals) or 'intercept_chrome' (for specific applications).

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 key behavioral traits: launching a fresh window, intercepting HTTP(S) traffic, and using an isolated profile. However, it lacks details on permissions needed, whether it modifies system settings, error handling, or what happens after launch (e.g., persistence, cleanup).

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 front-loaded, consisting of two sentences that directly convey the tool's purpose and key features without any wasted words. Every sentence earns its place by adding 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's complexity (launching a browser with interception) and lack of annotations and output schema, the description is incomplete. It covers the core action but omits critical details like what 'intercepted' entails, how to access captured traffic, error conditions, or dependencies. More context is needed for safe and effective use.

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

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

Schema description coverage is 100%, so the schema already documents the 'proxyPort' parameter. The description does not add any meaning beyond what the schema provides, such as explaining why this port is needed or how it integrates with interception. Baseline 3 is appropriate given high schema coverage.

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

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

The description clearly states the specific action ('Launch a fresh independent Firefox window') and resource ('Firefox') with additional scope details ('with all HTTP(S) traffic intercepted', 'Uses an isolated profile'). It distinguishes from siblings like 'intercept_chrome' by specifying Firefox and from 'intercept_existing_terminal' by emphasizing a fresh window.

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. While the description implies it's for intercepting Firefox traffic, it doesn't mention when to choose it over 'intercept_chrome' or other browser tools, nor does it specify 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 burden. It mentions the interception behavior but lacks details on permissions needed, whether it's destructive or read-only, rate limits, or what happens after opening (e.g., does it return a terminal ID?). For a tool that likely modifies network traffic, this is a significant gap in behavioral disclosure.

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?

Single sentence with zero waste—front-loaded with the core action and immediately specifies the scope. Every word earns its place, and it's appropriately sized for the tool's complexity.

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

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

Given no annotations and no output schema, the description is minimal but covers the basic purpose. However, for a tool that intercepts network traffic (a potentially complex/destructive operation), it should provide more context on behavior, side effects, or output expectations to be complete.

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

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

Schema description coverage is 100%, so the schema already documents the 'proxyPort' parameter. The description doesn't add any parameter-specific information beyond what's in the schema (e.g., typical port values, implications of port choice). Baseline 3 is appropriate when schema does the heavy lifting.

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

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

The description clearly states the specific action ('Open a new terminal window') and the resource/scope ('where all launched processes and Docker containers will have their HTTP(S) traffic intercepted automatically'). It distinguishes from siblings like 'intercept_existing_terminal' by specifying 'new terminal window' and from 'intercept_docker_container' by covering both processes and Docker containers.

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

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

The description implies usage context (when you want to intercept HTTP(S) traffic from processes/Docker containers launched in a new terminal), but doesn't explicitly state when to use this vs. alternatives like 'intercept_existing_terminal' or 'intercept_docker_container'. No exclusions or prerequisites 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 are provided, so the description carries the full burden of behavioral disclosure. It mentions the action ('intercept all its HTTP(S) traffic') and mechanism ('Java agent attachment'), but lacks details on permissions needed, side effects (e.g., process disruption), rate limits, or output behavior. For a tool that attaches to processes, this is a significant gap in transparency.

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

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

The description is front-loaded with the core purpose in the first sentence and adds a brief technical detail in the second. Both sentences are essential, with no wasted words, making it highly concise and well-structured for quick understanding.

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

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

Given the complexity of attaching to a JVM process, no annotations, and no output schema, the description is incomplete. It lacks information on success/failure outcomes, error handling, prerequisites (e.g., agent availability), or security implications. For a tool with potential side effects, this leaves significant gaps in context.

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

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

Schema description coverage is 100%, so the schema already documents both parameters (proxyPort and targetPid). The description does not add any parameter-specific details beyond what the schema provides, such as format examples or constraints. Baseline 3 is appropriate when the schema handles parameter documentation adequately.

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

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

The description clearly states the specific action ('Attach to a running JVM process') and resource ('HTTP(S) traffic'), distinguishing it from siblings like intercept_android_adb or intercept_chrome by specifying JVM-based languages (Java, Kotlin, Clojure). It explicitly mentions the mechanism ('Uses Java agent attachment'), making the purpose unambiguous.

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

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

The description implies usage context by specifying it's for JVM processes and HTTP(S) traffic interception, but does not explicitly state when to use this tool versus alternatives like frida_android_intercept or intercept_docker_container. However, it provides a clear target scope (JVM processes), which offers some guidance without naming exclusions or direct alternatives.

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

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

No annotations are provided, so the description carries the full burden. It mentions listing interceptors and their activation status, but doesn't disclose behavioral traits such as whether this is a read-only operation, if it requires specific permissions, rate limits, or what happens if the proxyPort parameter is omitted. The description is minimal and lacks crucial operational details.

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

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

The description is a single, efficient sentence that front-loads the key information ('List all available HTTP traffic interceptors') and adds useful details (examples and activation status) without waste. Every word earns its place, making it highly concise and well-structured.

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

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

Given the tool's moderate complexity (listing with optional parameter) and lack of annotations and output schema, the description is incomplete. It covers the purpose but misses behavioral transparency and output details. However, it's adequate for a basic listing tool, though improvements in transparency would enhance completeness.

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

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

Schema description coverage is 100%, so the schema already documents the single parameter 'proxyPort'. The description adds no additional meaning beyond what the schema provides (e.g., it doesn't explain how proxyPort affects the listing or activation status check). Baseline 3 is appropriate as the schema handles parameter documentation.

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

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

The description clearly states the specific action ('List all available HTTP traffic interceptors') and resource ('HTTP traffic interceptors'), including examples of what types are included (browsers, terminals, mobile devices, Docker, etc.). It distinguishes from siblings by focusing on listing rather than activating, capturing, or other interceptor-related actions.

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 checking activation status, but doesn't explicitly state when to use this tool versus alternatives like 'get_interceptor_metadata' or 'get_network_interfaces'. It provides some context (checking activation status) but lacks explicit guidance on exclusions or comparisons with sibling tools.

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

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

With no annotations provided, the description carries full burden and does well by disclosing key behavioral traits: the proxy interception mechanism, visibility in the UI, and the full response structure returned. It doesn't mention error handling, timeout behavior, or authentication requirements, but covers the core operational behavior adequately for a tool with no annotations.

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

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

Perfectly concise with two sentences that each earn their place: the first states the core action and context, the second describes the return value. No wasted words, front-loaded with the main purpose, and appropriately sized for the tool's complexity.

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

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

Given the tool's moderate complexity (5 parameters, no output schema, no annotations), the description provides good contextual completeness. It covers the purpose, operational context (proxy interception), and return format. The main gap is the lack of an output schema, but the description compensates by specifying what's returned. For a mutation tool (sending requests) with no annotations, it could benefit from more safety/error context.

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

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

Schema description coverage is 100%, so the schema already documents all 5 parameters thoroughly. The description adds no additional parameter semantics beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no parameter information in the 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 the specific action ('Send an HTTP request'), specifies the resource ('through the HTTP Toolkit proxy'), and distinguishes this tool from all sibling tools which focus on interception setup, configuration, or traffic capture rather than direct HTTP request execution. It provides a complete purpose statement in the first sentence.

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

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

The description implies usage context by mentioning 'through the HTTP Toolkit proxy' and that requests 'will be intercepted and visible in the HTTP Toolkit UI,' suggesting this tool is for testing/monitoring scenarios. However, it doesn't explicitly state when to use this versus alternatives or provide any exclusion criteria. The guidance is contextual but not explicit.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly warns about the destructive consequence ('WARNING: This will stop all interception'), which is crucial behavioral information. However, it doesn't mention whether the shutdown is reversible, what happens to pending requests, or if there are any authentication requirements.

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

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

The description is perfectly concise with two sentences that each earn their place: the first states the core action, the second provides critical warning information. It's front-loaded with the main purpose and wastes no 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?

For a destructive tool with no annotations and no output schema, the description provides good coverage of the core behavior and warning. However, it doesn't explain what happens after shutdown (e.g., server restart process, state persistence) or potential side effects beyond stopping interception, which would be helpful given the tool's critical nature.

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

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

With 0 parameters and 100% schema description coverage, the baseline would be 4. The description appropriately doesn't discuss parameters since none exist, and the schema already fully documents the empty input structure.

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

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

The description clearly states the specific action ('Shutdown') and resource ('HTTP Toolkit server'), distinguishing it from all sibling tools which focus on interception, configuration, or monitoring rather than server lifecycle management. It provides a complete verb+resource+scope statement that is unambiguous.

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

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

The description provides clear context about when to use this tool by stating it 'will stop all interception,' implying it should be used when interception needs to be completely terminated. However, it doesn't explicitly mention when NOT to use it or name specific alternatives for partial shutdown 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 carries full burden. It states the action but doesn't disclose behavioral traits like whether this requires admin permissions, if it triggers a restart, what happens during the check, or any rate limits. For a mutation tool (implied by 'trigger'), this is a significant gap in safety and operational context.

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

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

The description is a single, efficient sentence with zero waste—it directly states the tool's purpose without fluff. It's appropriately sized and front-loaded, making it easy to parse quickly.

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

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

Given the tool likely performs a mutation (triggering an update) with no annotations, no output schema, and minimal behavioral disclosure, the description is incomplete. It doesn't explain what the update entails, potential side effects, or expected outcomes, leaving gaps for safe and effective use by an AI agent.

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

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

The tool has 0 parameters, and schema description coverage is 100%, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, aligning with the empty schema. Baseline for 0 params is 4, as it avoids unnecessary details.

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

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

The description clearly states the specific action ('Trigger an update check') and the target resource ('HTTP Toolkit server'), distinguishing it from sibling tools like 'get_version' or 'shutdown_server'. It uses precise verb+resource phrasing without tautology.

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., 'get_version' for checking current version, or other update-related tools if any). The description implies usage for update checks but lacks explicit 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.