testfly-mcp

by hakanngul

Overview Schema Related Servers Score Discussions

Python

Local

Server Quality Checklist

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Latest release: v1.0.0
Disambiguation2/5
Several tools overlap in purpose, most notably detect_testfly and detect_selenium_boot (exact duplicates), and the Java generation family (generate_java_junit5, generate_java_testng, generate_java_page_object) all produce Java test artifacts, making selection ambiguous. The sheer number of 88 tools, especially the many generate_* variants, increases the chance of an agent picking the wrong one despite mostly clear descriptions.
Naming Consistency4/5
Tool names almost universally follow a snake_case verb_noun pattern with predictable families like get_*, set_*, assert_*, generate_*, and clear_*. Minor inconsistencies like the detect_selenium_boot alias and generate_java_junit5/generate_java_testng whose framework names are concatenated prevent a perfect score.
Tool Count1/5
With 88 tools, this server is far beyond the 3-15 ideal and exceeds the 25+ threshold for 'too many' by a wide margin. Many of the code-generation tools could be consolidated into a single tool with a language/framework parameter, and the duplicate alias tool should be removed.
Completeness5/5
The tool surface is extremely comprehensive for browser automation and test generation, covering browser lifecycle, navigation, element interaction, waiting, assertions, iframes, shadow DOM, alerts, storage, cookies, network mocking, accessibility, screenshots, and multiple code/output formats. There are no obvious gaps that would prevent an agent from completing a typical browser-testing workflow.
Average 3.5/5 across 88 of 88 tools scored. Lowest: 2.4/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 4 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI is passing
This repository is licensed under MIT License.
This repository includes a README.md file.
No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.
Tip: use the "Try in Browser" feature on the server page to seed initial usage.
This repository includes a glama.json configuration file.
If you are the author, simply .
If the server belongs to an organization, first add glama.json to the root of your repository:
```
{
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "maintainers": [
    "your-github-username"
  ]
}
```
Then . Browse examples.
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Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

Behavior2/5
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 only restates the operation and omits critical behavior such as whether a mismatch throws an error or returns a boolean, whether it waits or retries, and how exact matching or timeout affect the result.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no fluff and is easy to read. However, it is terse to the point of under-specification, omitting behavior and guidance that the six-parameter schema and sibling toolset require.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness1/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With 6 parameters, 3 required, 0% schema description coverage, no output schema, and no annotations, a one-line description is far from complete. The agent is left to guess failure behavior, return format, selector strategy, exact-matching semantics, timeout handling, and how this assertion differs from the many sibling assertion tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate by explaining parameters, but it does not. It gives no meaning for selector, attribute, expected, by, exact, or timeout, and it only vaguely echoes 'expected value' without clarifying how the parameters interact.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verification action: it asserts that an element's attribute has the expected value. This clearly distinguishes it from get_attribute (retrieval) and from assert_text/assert_title (other assertion targets), though it doesn't name alternatives explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus get_attribute, assert_text, or other assertion siblings. The phrasing implies it is for verification, but it never explains selection criteria or when an assertion is preferable to a retrieval.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 adds only the location ('in the browser') and says nothing about whether the script's result is returned, how errors surface, whether execution is async, or that arbitrary scripts can modify or destroy page state. For an arbitrary-code-execution tool, this safety and behavior gap is significant.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The single sentence is readable and front-loaded, but the brevity is under-specification rather than efficient density. It omits the parameter and behavioral details an agent needs; two or three well-chosen sentences would fit without bloat.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema, no annotations, and 0% parameter coverage, the description is the agent's only source of truth, yet it fails to state the return value format, error behavior, page context, or side-effect risk. An agent cannot reliably verify success or predict consequences when invoking arbitrary code execution.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not compensate: it mentions neither 'script' nor 'args' and adds no syntax, scoping, or type guidance beyond the bare field names. An agent must guess how 'args' reaches the script (positional? named?) and what execution context 'script' runs in.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('execute') and resource ('JavaScript in the browser'), which clearly conveys the tool's job. Within the large sibling set of element, navigation, and assertion commands, no other tool runs arbitrary JavaScript, so the purpose is naturally differentiated. A bit more specificity about execution context or return value would push this to a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives, no sibling tools are mentioned, and no exclusions or prerequisites are stated. With roughly 80 siblings covering clicks, navigation, and assertions, an agent gets no hint about when script execution is the right fallback or where it fits in a workflow.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior1/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of describing behavior, but it merely restates the action. It does not disclose waiting semantics, what happens if the element is not found, whether the element must be visible, or what the return value is.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness3/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no wasted words, so it is concise. However, it is so terse that it borders on under-specification rather than being usefully information-dense.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The schema covers the parameters well, but the description omits behavioral context that an agent needs, such as whether the tool waits for the element, what locator strategies are preferred, and what to do when the element is not found. For a browser automation tool with no output schema and no annotations, this is a significant gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
All three parameters have schema descriptions, so the 100% schema coverage sets the baseline at 3. The description adds no extra parameter semantics, but it does not need to because the schema already documents selector, by, and timeout clearly.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the core action clearly: it clicks on an element. It is short but unambiguous, with a concrete verb and object. However, it does not distinguish this tool from sibling interaction tools like double_click, right_click, or hover beyond the tool name.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus alternatives such as execute_script, send_keys, or hover. It also does not mention prerequisites like needing an active browser session, element visibility, or how to choose between locator strategies.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must carry the full behavioral burden. It only states what the tool does, not how it behaves—such as whether it waits for a dialog, what happens if no dialog appears, or how the timeout affects execution. This is too thin for a 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.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, direct sentence with no redundant wording. It is appropriately front-loaded and easy to parse, though it sacrifices useful detail. This is strong conciseness, not mere under-specification.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with one parameter and sibling tools like accept_alert, the description is too minimal. It omits timeout semantics, conditions for use, and any guidance about dialog handling. The absence of annotations makes this gap more significant.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not mention the 'timeout' parameter at all. The agent cannot infer what the timeout controls, whether it is in seconds, or what default behavior applies. The description adds no parameter meaning beyond the raw schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Dismiss (Cancel)') and a clear resource ('a JavaScript confirm or prompt dialog'). It clearly conveys the operation and implicitly distinguishes it from accepting, though it does not explicitly name sibling tools like accept_alert.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus accept_alert or type_in_alert, nor any mention of prerequisites such as an active dialog being present. The description implies cancellation usage but leaves the decision entirely to the agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It states the assertion but does not disclose what happens on failure, whether the tool waits or retries up to the timeout, or whether it has side effects. The timeout parameter implies waiting behavior, but the description never confirms it.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single focused sentence with no redundant or filler content. Every word adds meaning, and the core subject and action are front-loaded. It is appropriately concise for a simple assertion tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations and no output schema, the description is not sufficiently complete. It omits failure behavior, timeout semantics, selector strategy defaults, and how it differs from similar visibility-related tools. An agent needs more context to invoke it reliably in an assertion workflow.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate for the lack of parameter documentation. It does not explain selector, by, or timeout beyond the bare schema property names and defaults. The agent gets no additional meaning about how to construct the selector, what by values are accepted, or how timeout affects execution.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb and resource: 'Assert an element is visible on the page.' It clearly conveys the core action and target. However, it does not distinguish this from closely related siblings like is_displayed or wait_for_element, so it falls just short of a top score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus alternatives. It does not mention is_displayed, assert_element_not_visible, wait_for_element, or explain that this is a test assertion that fails the test rather than returning a boolean. The agent is left to infer usage from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 only describes the basic action and omits details about event dispatch, waits, failure conditions, or 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.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single efficient sentence with no filler. It is immediately understandable, though the brevity leaves out important context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and 0% parameter coverage, the tool definition is context-poor. An agent must infer selector semantics, behavioral expectations, and error handling, which is a significant gap for a browser automation action.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, but the description gives some semantic clue that source_selector and target_selector represent the dragged and dropped elements. It does not explain the 'by' parameter or what selector strategies are supported beyond the CSS default in the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear action: drag one element and drop it onto another, which distinguishes it from similar browser automation tools like click or hover. It identifies the core operation and operands, though it does not mention selectors explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool versus alternatives, or about prerequisites such as element visibility, supported drag mechanisms, or iframe handling. The description only states what the tool does, not when it should be chosen.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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, yet it only offers the vague output label 'formatted text grid.' It does not state what happens on selector mismatch or non-table matches, whether headers are included, how nested tables are handled, or the wait/timeout behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no wasted words; the verb and purpose appear immediately. However, the brevity partly results from under-specification rather than disciplined editing, so it falls short of a top score.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 3-parameter tool with no output schema and no annotations, the description is incomplete: it omits the selector-mechanism parameter ('by'), the 'timeout' semantics, error behavior, and any meaningful detail about the returned grid structure. An agent would have to guess at parameter interactions and expected output shape.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is only 33%, so only 'selector' is documented, and the description adds no meaning beyond the schema's own note about targeting a <table> element. The 'by' (CSS vs XPath selection mechanism) and 'timeout' parameters are undocumented in both the schema and the description, and the description does not compensate for this gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Extract') with a clear resource ('data from an HTML table') and names the output form ('formatted text grid'), conveying exactly what the tool produces. It is implicitly distinct from siblings such as get_text, get_page_source, and find_elements, though no sibling is explicitly named or contrasted.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives like get_text, get_page_source, or execute_script, and no exclusions or prerequisites are stated. An agent must infer applicability purely from the tool name and the single sentence.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description must carry the behavioral disclosure. It only states that an assertion is made, but does not disclose whether failure throws an exception, whether it waits for the text, case sensitivity, or how the source_only flag changes behavior beyond the schema.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, efficient sentence with no redundant wording. The core operation is stated directly and front-loaded, making it easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple assertion tool with no annotations and no output schema, the description leaves important gaps: failure behavior, relation to sibling assertions, and how source_only is applied. It is minimally viable but not complete enough for confident invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 50%: source_only is explained, but the required text parameter has no description. The phrase 'contains a string' only vaguely references text and does not clarify substring matching or exact semantics, so it does not compensate for the schema gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies a specific verb ('Assert'), resource ('full page source or visible text'), and target ('contains a string'). It scopes to the whole page, which distinguishes it from element-level assertions like assert_text, though it doesn't explicitly name the alternative.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool versus sibling assertion tools such as assert_text, assert_title, or assert_element_visible. There are no conditions, exclusions, or alternatives mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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. The verb 'Set' implies a state-mutating write operation, and 'on the current page' adds a scoping constraint. However, it fails to disclose whether existing cookies with the same name are overwritten, whether the cookie is session-only or persistent, or whether any domain/host restrictions apply.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with zero filler words; every word contributes meaning. It is somewhat under-sized relative to the information burden it carries, but as pure conciseness it is effective.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has 4 parameters, no annotations, no output schema, and no parameter descriptions, yet the description provides only one contextual detail: that the cookie applies to the current page. It omits overwrite behavior, persistence semantics, domain handling, and any relationship with sibling cookie tools. This is minimally more than a tautology.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate for the undocumented parameters. It mentions none of name, value, path, or domain — no clarification of required fields, defaults beyond the schema's bare 'default: /', or encoding concerns for the value. No meaning is added beyond the schema's raw type declarations.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Set') and resource ('a cookie') with a location scoping ('on the current page'). It distinguishes cleanly from sibling tools: delete_cookie/get_cookies differ by verb, and set_local_storage/set_session_storage differ by resource type.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool versus alternatives. It does not mention that get_cookies or delete_cookie are companions for inspecting/removing cookies, nor any exclusions or preconditions such as needing a page to be loaded first. The agent receives zero routing help.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the behavioral burden. It reveals that this is a write operation, but it does not disclose persistence, same-origin scoping, overwrite behavior, or that localStorage access can throw. The side-effect profile is largely undisclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single clear sentence with no filler. The verb and resource are front-loaded, and every word contributes meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple and has no output schema, but it also has no annotations and no behavioral context. Missing information about browser context, persistence, and overwrite behavior means the description is not fully self-sufficient for an agent deciding whether this is the right mutation to invoke.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate for missing parameter documentation. It adds only that key and value form a pair, which is minimal and largely already conveyed by the property names. It does not explain string coercion, size limits, or how values are stored.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb and resource: 'Set a localStorage key-value pair.' The resource term distinguishes it from get_local_storage and set_session_storage. It does not explicitly name those siblings, so it is clear but not maximally differentiated.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description states what the tool does but provides no guidance on when to prefer it over set_session_storage, how it relates to get_local_storage, or any prerequisites such as needing a loaded page. The usage context is left entirely to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of explaining behavior, but it only says the tool generates a production-ready config. It does not disclose whether the tool writes a file, returns the configuration content, overwrites existing files, or how 'production-ready' is determined. This leaves important behavioral expectations unstated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single focused sentence with no filler, and it front-loads the core action and deliverable. It is appropriately concise, though it could have used one additional clause to clarify output behavior or sibling selection without much cost.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, no annotations, and a tool with eight optional parameters, the description is underspecified. The schema documents the parameters well, but the description does not explain what happens after generation, what 'tailored to the current session' concretely means, or when this should be preferred over related generation tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 100%, so all eight parameters already have individual descriptions and defaults. The description adds a general notion of session-tailored vs. custom argument behavior, which is mildly useful, but it does not add parameter-level meaning beyond what the schema already provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific deliverable, testfly.yml, and a specific action, generate, which makes the tool's core purpose clear. It also explains the two modes: session-tailored or argument-customized. It does not explicitly contrast with sibling generation tools like generate_testfly_pom, but the resource is specific enough to avoid major ambiguity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no explicit guidance about when to use this tool versus alternatives such as generate_testfly_pom or the various test-generator tools. It implies usage through the name and 'generate a production-ready testfly.yml', but it does not state prerequisites, exclusions, or selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 does not explain what happens when the element is not found, whether the attribute exists on the element, what happens on timeout, or whether the returned value can be null or empty.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence with no redundant wording. It could arguably add more useful context, but as a purpose statement it is appropriately sized and front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no output schema, no annotations, and a very minimal description. While the operation is simple, the description omits important behavioral context such as return behavior, error handling, and the meaning of the timeout parameter in practice, leaving an agent to infer these details.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% coverage of the four parameters, including descriptions for selector, attribute, by, and timeout. The description itself adds no parameter detail, but the baseline of 3 is appropriate because the schema already documents all parameters adequately.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Get') and resource ('attribute value from an element'), which clearly communicates the tool's core function. It is distinguishable from related siblings like get_text and get_current_url, though it does not explicitly distinguish itself from assert_attribute.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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_text or assert_attribute. The description only states what it does, not when it should be selected or when a different tool would be more appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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, yet it only restates the purpose. The timeout parameter (default 10) implies the tool may poll for visibility, but the description does not say whether it returns immediately, waits until timeout, returns false, or throws when the element is not visible — nor does it state the return type. Selenium's isDisplayed() semantics differ meaningfully from a wait-based visibility check, and the description resolves none of this ambiguity.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single eight-word sentence with no filler and the core purpose front-loaded — it earns its place. The brevity is partially achieved by omitting the behavioral detail scored lower above, so it is efficient rather than exemplary.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no annotations, the description must disclose the return value and wait/failure semantics, but it covers neither. The presence of a timeout parameter makes the polling-vs-immediate distinction especially relevant, and an agent cannot tell whether a non-visible element yields false or an exception. For a state-checking tool in a very large sibling group, this definition is incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%: by ('Locator strategy'), timeout ('Wait timeout in seconds'), and selector all carry descriptions in the schema. With the schema doing the heavy lifting, the baseline of 3 applies even though the tool description itself adds no parameter-level detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('check') and resource ('element ... visible on the page'), making the core function clear and non-tautological. It reads as a query for visibility state rather than an interaction or mutation. However, it does not explicitly differentiate is_displayed from the sibling assert_element_visible, which targets the same visibility concept.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no when-to-use context, no exclusions, and no mention of alternatives. Among a large sibling set containing is_enabled, wait_for_element, assert_element_visible, and assert_element_not_visible, the agent gets no routing signal about when an immediate visibility check is the right choice versus waiting or asserting.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 does not specify the return type, whether the tool waits for the element, what it means for an element to be enabled/disabled in different browsers, or what happens if the element is not found. These details matter for correct invocation and result interpretation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's purpose. It is concise and front-loaded, though very sparse on supporting detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations and no output schema, the description is incomplete. It does not explain the return value, likely a boolean, or the behavior on timeout/not-found. An agent would have to guess at important runtime semantics before trusting the result.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
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 even though the description adds no parameter-level detail. The description's reference to 'an element' aligns with the selector parameter, but it contributes nothing beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action ('Check') and resource ('element enabled'), and clarifies the meaning with '(not disabled)'. It does not explicitly distinguish itself from related sibling tools like is_displayed, but the purpose is still clear.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 is_displayed, wait_for_element, or get_attribute. An agent must infer the usage solely from the tool name and short description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses the main behavior ('clear and type'), but it does not mention that clearing is conditional on clear_first, nor does it describe waiting behavior, element preconditions, or failure modes. The absolute phrasing 'Clear and type' is potentially misleading when clear_first is false.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that directly states the core operation. There is no wasted wording or unnecessary detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the large set of sibling browser automation tools, this description is incomplete for confident selection and invocation. It lacks usage context, alternative routing, and explanation of the clear_first behavior that the schema also fails to document.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already documents most parameters with 80% coverage. The description adds minimal semantic value, mostly by reinforcing the clearing behavior tied to clear_first. It does not elaborate on locator strategies or timeout semantics beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear action ('clear and type') on a specific resource ('input field'). It is easy to understand what the tool does, though it does not explicitly contrast with similar sibling tools like fill_form, send_keys, or clear_field.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives such as fill_form, send_keys, or clear_field. The intended usage must be inferred from the name and description alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, but it only says 'wait until an element is visible.' It does not mention timeout failure behavior, polling semantics, or that the condition can be clickable, present, or invisible. For a wait operation, these are important behavioral details.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler. It communicates the core operation efficiently and earns its place without unnecessary detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given four parameters, no annotations, and no output schema, the description is too thin. It omits the condition variants, timeout outcome, and any guidance on selection strategy or interaction with sibling tools, leaving important invocation details to inference.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already documents selector, by, and timeout with descriptions, covering 75% of parameters. The description adds a little semantic value by explaining the default visible condition, but it does not clarify the other condition enum values or how they affect waiting behavior.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly names a specific verb ('wait') and resource ('element'), and specifies the default condition ('visible on the page'). It is not a tautology and is understandable on its own, though it does not explicitly differentiate itself from siblings like wait_for_network_idle or is_displayed.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives such as wait_for_network_idle, find_element, is_displayed, or assert_element_visible. There are no stated exclusions, prerequisites, or routing hints, so the agent must infer usage from the name and schema alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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 action but says nothing about waiting behavior, what happens if no alert appears, whether prompts are submitted as empty text, or how the 'timeout' parameter affects execution. These are material behavioral details for a dialog-handling tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, tightly focused sentence with no filler. It is front-loaded with the verb and resource, making it easy to scan and understand.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with one undocumented parameter and no annotations or output schema, the description is too thin. It allows a basic zero-argument call, but an agent cannot reason about timeouts, failure modes, or how accepting differs from dismissing in practical terms.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not mention the 'timeout' parameter at all. While the parameter is optional and has a default, an agent cannot determine what 'timeout' means, what units it uses, or what behavior it controls.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Accept (OK)') and the resource ('JavaScript alert, confirm, or prompt dialog'). The parenthetical '(OK)' distinguishes this from the sibling 'dismiss_alert' and leaves no ambiguity about what accepting a dialog means.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied by the description: use this when you want to accept/confirm a JavaScript dialog. However, it does not explicitly contrast with 'dismiss_alert', 'get_alert_text', or 'type_in_alert', so it relies on the agent inferring the decision rather than spelling it out.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full behavioral burden, but it only states the matching behavior and not what happens on assertion failure, whether it returns a result, or how the assertion affects session/test flow. This is inadequate for a tool whose core behavior is pass/fail validation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence with no filler. It states the action, target, and matching modes efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The definition is minimally viable for a simple two-parameter assertion, especially with the schema supplying the exact default. Still, it omits failure behavior and gives no explicit guidance on how the exact flag changes the assertion, so the overall context is not fully complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds some meaning beyond the schema by framing 'expected value' as the expected parameter and 'equals or contains' as the behavior controlled by exact. However, it never explicitly maps exact=true to equality and exact=false to containment, and schema description coverage is 0%, so the description does not fully compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Assert') and a specific resource ('current URL'), and clarifies the two matching modes: equals or contains. It clearly distinguishes this from page-content assertions like assert_title and assert_text, though it does not explicitly contrast with sibling tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus alternatives such as get_current_url or assert_page_contains. The context is implied, but no exclusions or decision criteria are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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, but it only states the primary effect. It does not mention whether the tool waits for the element, dispatches input/change events, throws on a missing element, or returns any status.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single front-loaded sentence with no wasted words. It states the essential operation immediately and does not repeat schema or annotation information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple utility with fully documented parameters, the one-sentence description is minimally viable. However, since there is no output schema and no annotation coverage, the description does not fully convey behavioral edge cases such as element-not-found behavior or whether clearing triggers related events.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the input schema fully documents the selector property, the by enum with its default, and the timeout with its default. The description adds no parameter-level meaning, which is acceptable at the baseline given the schema's completeness.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Clear') and a resource ('the text in an input field'), making the core action clear. It does not explicitly differentiate itself from sibling tools like type_text or fill_form, so it loses the top score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use clear_field instead of alternatives such as type_text, fill_form, or select_option. There are no exclusions, prerequisites, or context signals telling an agent when clearing is the right operation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations available, the description carries the full burden of behavioral disclosure. It only states the action without explaining behavior when the cookie does not exist, whether deletion is scoped to the current domain/path, or any side effects beyond the obvious removal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single focused sentence that conveys the essential information with no filler. Every word contributes to understanding the tool's purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter tool with no output schema, the description is arguably sufficient for basic invocation. However, the absence of annotations and any detail about error handling or cookie scoping leaves gaps that could matter in real browser automation contexts, so the definition is adequate but not rich.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema provides only a string field named 'name' with no description, so the phrase 'by name' adds meaningful context by clarifying that the parameter refers to the cookie's name. However, it does not elaborate on format, required cookie scope, or special values, providing only minimal compensation for the 0% schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear action ('Delete') and resource ('a specific cookie'), with the selection criterion ('by name') that distinguishes it from delete_all_cookies. It does not explicitly name sibling tools, so it stops short of a fully explicit differentiation, but the purpose is unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance on when to use this tool versus alternatives like delete_all_cookies or set_cookie. The intended use is implied by the name and description, but no conditions, prerequisites, or exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the action without revealing side effects such as page load waiting, redirect handling, or behavior on invalid URLs, leaving the agent without information about what happens after invocation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no wasted words, and the core action and object are front-loaded. It is maximally concise while remaining informative at a basic level.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a single-parameter browser navigation command, the description captures the essential operation. However, it omits usage guidance and behavioral details that would help an agent choose among many sibling tools, and the lack of annotations and output schema increases the need for richer context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 0% description coverage, but the description explicitly references a URL, which maps directly to the required 'url' parameter. It does not add details like URL format, whether absolute URLs are required, or error behavior, so it only partially compensates for the missing schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the verb ('Navigate') and resource ('browser to a URL'), making the core function immediately understandable. However, it does not differentiate from sibling navigation-related tools like open_new_tab or switch_to_window, so an agent might confuse which tool to use.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives such as go_back, go_forward, refresh, or open_new_tab. The description lacks any contextual cues, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden of behavioral disclosure. It does not mention that refreshing may discard unsaved form state, reload resources, block on network requests, or produce any feedback about the resulting page state.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, focused sentence with no redundant wording. It is appropriately concise for a no-parameter tool, though it could include more behavioral context without becoming verbose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no parameters and no output schema, the description provides the minimum viable understanding of what the tool does. However, it lacks any nuance about side effects, return value, or when refreshing is the right action, so it is not fully complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool accepts zero parameters, and the schema coverage is effectively complete at 100%. There is no parameter information that the description could meaningfully add beyond what is already absent from the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb, 'refresh', and an explicit resource, 'the current page'. This clearly identifies the action and distinguishes it from sibling navigation tools like go_back, go_forward, and navigate, though it does not explicitly name those alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus alternatives, or when refreshing would be appropriate or inappropriate. The description only states what the tool does, leaving all usage decisions to the agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It states that switching occurs, but does not explain index ordering or zero-based indexing, out-of-range behavior, or the effect on the current browsing session.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence with no filler; the essential detail 'by index' is front-loaded. Every word contributes to the tool's meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with no annotations and no output schema, the description is too thin. It lacks guidance on how to discover window/tab indices and what happens once switching occurs, which are essential for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description only restates the concept of an index without explaining its valid range, default handling beyond the schema, or how it maps to list_windows results. The agent has too little information to choose a correct index confidently.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description uses a specific verb and resource, 'Switch to a browser window/tab', and qualifies with 'by index'. This clearly distinguishes it from sibling frame-switching tools such as switch_to_frame and switch_to_default_content.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool versus alternatives. It does not mention that list_windows can supply valid indices or that open_new_tab and close_current_tab serve different purposes.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the core assertion behavior but does not explain what happens on failure, whether the tool waits for the element, how exact matching interacts with contains, or whether text is normalized before comparison.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single efficient sentence with no filler. It front-loads the action and states the primary matching behavior, though it could earn a 5 with slightly more behavioral context.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no annotations, no output schema, and 0% schema coverage, the description is too sparse to fully support correct invocation. An agent is left without critical details about assertion failure handling, the effect of `exact`, timeout semantics, and selector strategy.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate, but it only clarifies the purpose of `expected` and `selector` at a high level. It adds no meaning for `by`, `exact`, or `timeout`, leaving the agent to infer their roles from names and defaults.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb and resource: 'Assert element text equals or contains expected value.' It clearly distinguishes this tool from siblings like assert_title, assert_url, and assert_page_contains by focusing on element text.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is for verifying element text content, but it does not explicitly state when to prefer this over alternatives like get_text, assert_page_contains, or assert_attribute. An agent can infer the usage context from the name and description, but no direct guidance or exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description carries the full behavioral disclosure burden. It only restates the action and does not mention whether the tool waits for the element, throws on failure, or supports the locator strategies shown in the schema. This 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single efficient sentence with no filler. The core action is front-loaded and immediately parseable by an agent.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
While the schema documents the parameters well, the description alone is too thin for a tool with close siblings and no output schema or annotations. It lacks guidance on return behavior, failure semantics, waiting behavior, and when a double-click is the right interaction compared to click or right_click.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the parameters are already fully documented in the input schema. The description adds no additional semantic meaning about how 'selector', 'by', or 'timeout' interact, but the baseline of 3 is appropriate given the schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb ('double-click') and a clear resource ('element'), which unambiguously distinguishes it from sibling tools like click and right_click. Even without extra detail, an agent can tell exactly what action this tool performs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to choose double_click over click, right_click, hover, or other interaction tools. The verb implies a double-click, but no explicit context, exclusions, or alternative routing is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, but it only states the basic return value. It does not mention behavior when no page is loaded, whether the title is trimmed, or whether it waits for page load.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no wasted words. It is as concise as a simple getter requires.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter tool, the description covers the core action, but it leaves out usage guidance and edge-case behavior. It is minimally viable but not fully complete given the lack of annotations and output schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and 100% schema description coverage, so there is nothing for the description to add. The baseline of 4 applies because no parameter explanation is needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (return) and the specific resource (current page title), so an agent knows exactly what the tool does. It is distinct enough from siblings like get_current_url, though it does not explicitly call out the distinction.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given for when to use this tool versus alternatives such as assert_title or get_text. The description only states what the tool does, not when it is the right choice.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the disclosure burden. It usefully reveals the key behavioral trait that hidden and absent are both treated as satisfying the assertion. However, it does not explain whether the tool waits up to the timeout for the element to become not visible or how assertion failures are signaled.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single efficient sentence that front-loads the core purpose ('Assert an element is NOT visible') and adds a useful parenthetical ('hidden or absent') without any redundant wording.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool has no annotations, no output schema, and no parameter documentation, yet the description only covers the assertion condition. It omits important context such as timeout/wait behavior, what the assertion does on failure, and how parameters like 'by' and 'timeout' affect execution. For a simple assertion tool this is a notable gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not mention any of the parameters (selector, by, timeout). The word 'element' only loosely maps to selector, but no meaning is added beyond the parameter names in the input schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Assert'), resource ('an element'), and condition ('NOT visible'), and clarifies 'hidden or absent' to define the pass condition. This clearly distinguishes it from sibling assert_element_visible and other element query tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The usage is implied by the tool's name and description: use it when you need to assert that an element is hidden or absent. However, it provides no explicit guidance on when to choose this over related tools like is_displayed or assert_element_visible, and no exclusions are stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden, but it only states the happy-path output. It does not disclose whether the tool waits up to timeout, what happens if no element matches, whether it returns the first match, or that it has no 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
One tightly worded sentence names the action, scope, and return values with no redundancy. It is front-loaded and every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple single-element finder with full schema coverage, the description covers the core return values but leaves out failure behavior and return shape. Given no output schema or annotations, those omissions keep it at minimum viable rather than complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
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 by, timeout, and selector fully. The description adds no extra parameter-level meaning, so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Find') and resource ('an element') and states the exact return payload ('its text, tag, and attributes'). The singular 'an element' distinguishes it from sibling find_elements, and the combined return value separates it from get_text/get_attribute.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to choose find_element over its many element-related siblings (find_elements, get_text, get_attribute, wait_for_element). The return clause implies combined retrieval, but it never states the intended use case or exclusions, so the agent is left to infer selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral disclosure burden. It states the core generation behavior but omits important traits: whether the YAML is returned or written to a file, whether it depends on prior test-generation tools, and how the 'language' parameter affects output. This is a significant gap for a generation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence, front-loaded with the action ('Generate') and target platform ('GitHub Actions'), with zero filler. Every word contributes to the core purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with two meaningful parameters, no output schema, and no annotations, the description is too thin. It fails to specify the return value, prerequisites like the recorded test session, or how parameters influence the output, leaving the agent unable to invoke the tool confidently in non-default cases.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters1/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% and the description mentions neither 'language' nor 'java_version'. It does not explain how these parameters change the generated workflow or when to use different values, so the agent gains no meaning beyond the raw enum labels and defaults.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Generate') with a specific resource ('GitHub Actions CI workflow YAML') and a clear purpose ('for running the recorded test session'). This clearly distinguishes it from sibling CI generators like generate_gitlab_ci and generate_jenkins_pipeline, since the target platform is explicitly named.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description makes the usage context clear by naming GitHub Actions, so an agent can infer this tool is for GitHub Actions rather than GitLab or Jenkins. However, it doesn't explicitly name alternatives or provide exclusion conditions, so the guidance is clear but not fully explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It only states the core action and omits whether the tool waits for the element, whether the element must be visible/interactable, what happens on failure, or whether hover events are triggered.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence with no filler words. It is appropriately minimal for a simple action and every word contributes to the meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple action with full schema coverage, the description is nearly sufficient, but it does not specify preconditions such as element existence or visibility, nor any return or failure behavior. The absence of annotations and output schema leaves these gaps unresolved.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the input schema already documents the 'by' enum, 'timeout', and 'selector'. The description adds no additional parameter meaning beyond 'element', but this is acceptable given the strong schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('hover') and resource ('mouse over an element'), clearly identifying the tool's function. This distinguishes it from sibling interaction tools like click, double_click, right_click, and drag_and_drop.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
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 hover versus alternatives. It does not mention hover-triggered menus, element visibility requirements, or situations where a click would be more appropriate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry behavioral disclosure. 'Set' conveys a write operation, but it does not disclose that an existing key is overwritten, that values are stored as strings, or any per-session scoping/return behavior. The behavior is under-specified for a mutating tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single front-loaded sentence with no filler, and it is appropriately sized for a two-parameter setter. It loses one point only because the brevity contributes to the missing behavioral detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a low-complexity tool, the description and schema together are minimally sufficient to identify the operation and parameters. However, without annotations or an output schema, it leaves open key facts such as overwrite semantics and when to prefer set_local_storage rather than this tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the description should add semantics, but 'key-value pair' merely restates the parameter names. It does not clarify expected value formats, encoding, or how existing values behave.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Set') with a precise resource ('a sessionStorage key-value pair'), making the operation unambiguous. Naming 'sessionStorage' distinguishes it from sibling set_local_storage and get_session_storage.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The wording implies this is for writing a single key/value pair into sessionStorage, but it gives no explicit when-to-use guidance or comparison with alternatives like set_local_storage. An agent can infer the use case from the name and resource, but exclusions are absent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the disclosure burden. It clearly communicates that the tool compares a selector match count against an expected count, but it does not state the failure behavior, whether it waits for the count, or whether hidden elements are included. The core behavior is present, but important assertion semantics are left to inference.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler. Every word contributes to defining the operation, so it is appropriately concise given the tool's simple nature.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple, but without annotations or an output schema the description leaves gaps: the accepted values for 'by' and the failure/timeout behavior are unspecified. An agent could likely call the tool correctly using defaults, but would be guessing on edge cases such as non-CSS locators.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate for the schema's silence. It adds only minimal context: that selector identifies elements and expected_count is the number they should match. The 'by' parameter is completely undocumented, leaving the locator strategy ambiguous.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific operation: assert that the count of elements matching a selector equals an expected value. The 'number of elements' phrasing clearly separates it from sibling assertion tools like assert_text or assert_element_visible, which check different conditions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no guidance about when to choose this tool over the many sibling assertions/query tools, nor does it mention any exclusions. The intended use case is only implicit in the tool name and one-line description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the transparency burden. It discloses the generated code shape (BaseTest extension, managed driver, locator style, no lifecycle boilerplate vs standalone ChromeDriver setup/teardown), but it does not state whether generating a test modifies the browser session, writes a file, or is otherwise side-effect free.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact and front-loaded, with the core purpose in the first sentence and the key framework variants packed into one additional sentence. Every clause adds useful information and there is no filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a code-generation tool with no annotations and no output schema, the description is incomplete: it documents two of the three framework enum options, omitting 'selenium_boot', and never explains what the generated artifact is (e.g., file output, in-chat code block) or what happens to the current session. An agent cannot fully resolve the intended behavior for all allowed inputs.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Only the framework parameter has a schema description, so coverage is low at 33%. The description adds real meaning for framework='testfly' and 'testng', but it ignores the third enum value 'selenium_boot' and provides no additional semantics for test_name or package_name beyond the self-explanatory names.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource: 'Generate a Java TestNG test class from the current browser session.' It also details the two framework flavors, making the intent clear, though it never explicitly contrasts with generate_java_junit5 or other sibling code generators.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains when to get TestFly vs raw TestNG/Selenium output and implies this is the right tool for Java test generation, but it does not explicitly state when to choose this tool over generate_java_junit5 (or other language/framework generators), nor does it give exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It states what the tool does but does not explain what happens if no alert is open, whether it waits for an alert, or what the timeout parameter actually does. The 'currently open' constraint is useful, but the behavior is under-disclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence with zero wasted words. The verb, resource, and context are all present and clearly structured, making it easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple—one optional parameter and no output schema—and the description captures the core action and precondition. However, it omits the timeout parameter's semantics and any error-handling behavior, leaving small but meaningful gaps for an agent trying to call it confidently.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one parameter, timeout, with zero description coverage, and the tool description does not mention it. The name hints at waiting behavior, but the description provides no explicit meaning, units, or effect, so it fails to compensate for the schema gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb ('Return') and a specific resource ('text message of a currently open JavaScript alert/confirm/prompt'). This clearly differentiates it from sibling alert tools such as accept_alert, dismiss_alert, and type_in_alert, and from generic get_text.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the use case—when a JavaScript alert/confirm/prompt is open and the agent needs its text—and the 'currently open' precondition is clear. However, it does not explicitly state when not to use it or name alternatives, leaving usage guidance implied rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The word 'visible' is a genuine behavioral disclosure, indicating that hidden text is excluded. However, with no annotations provided, the description does not address return type, empty/not-found behavior, or whether it waits for the element, leaving the timeout parameter to imply wait behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
One clear sentence with no filler or redundant content. 'Visible' meaningfully qualifies the returned content, and the core action is front-loaded and immediately understandable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 3-parameter tool with no output schema and no annotations, the description leaves ambiguity about which element is selected when multiple match and what happens on timeout or no match. It is sufficient for simple use but incomplete for edge-case behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with by, timeout, and selector all already documented. The description adds no additional parameter-level meaning, so the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific operation ('get visible text content') on a specific resource ('an element'). This clearly differentiates it from siblings like get_page_source, get_page_title, and get_attribute, even though no sibling is named.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Provides no guidance on when to use this tool versus alternatives like get_attribute, find_element, or assert_text. It also does not mention preconditions such as waiting for the element to exist before calling.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It does disclose the core effects: viewport sizing, pixel ratio, and touch emulation via CDP. However, it does not explain whether emulation persists across navigations, how to reset it, or any side effects on subsequent commands.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences carry all the essential conceptual information with no filler. The main action is front-loaded and the effects are listed immediately afterward.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is adequate for a simple, all-optional-parameter emulation tool, but it lacks lifecycle and reset information. Given that no annotations or output schema are present, the description should have covered persistence behavior or how to return to a normal desktop viewport.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 80%, so the schema already documents most parameters. The description adds a useful conceptual mapping to viewport, pixel ratio, and touch, but it does not clarify relationships such as custom width/height overriding device presets or the meaning of the mobile flag.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb-resource pairing: 'Emulate a mobile device using Chrome DevTools Protocol.' It also lists what is adjusted (viewport, pixel ratio, and touch), which makes the tool's function concrete and distinguishes it from the browser-navigation and inspection siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus alternatives, when it should be called in a browser session, or whether it should be used before navigation. No exclusions or alternative tool references are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations present, the description carries the full burden. It usefully discloses that the tool returns texts rather than element handles, but it does not mention timeout wait behavior, what happens when no elements match, or whether any side effects occur.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no redundant words. The core behavior is front-loaded, and every word contributes to understanding the tool's function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a three-parameter tool with no output schema and no annotations, the description states the purpose and return type but omits important runtime behaviors such as no-match handling and wait semantics. It is functional but leaves gaps an agent might need to fill.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the parameters (by, timeout, selector) are already fully described with enums and defaults. The description adds little beyond the notion of 'matching elements,' which meets the baseline for schema-covered parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Find'), the resource ('all matching elements'), and the result ('return their texts'). This distinguishes it from the sibling find_element, which targets a single element, and get_text, which retrieves text from one element.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided about when to use this tool versus find_element, get_text, or other locator-based tools. The word 'all' implies a multi-element use case, but there are no explicit alternatives, prerequisites, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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, but it only states the generation action and source. It does not disclose whether the test class is returned as text, written to a file, whether an active session is required, or whether the tool has any side effects on the browser session.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler or repetition. It immediately states the output type, target stack, and input context, making it easy for an agent to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of annotations, no output schema, and 0% parameter documentation, the description is not complete enough on its own. An agent is left uncertain about the return value or artifact produced, prerequisites, and how the optional parameters shape the output, which are key for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description does not mention 'namespace' or 'test_name' at all. The parameter names and defaults offer some intuitive meaning, but the description adds no explicit explanation of how these values affect the generated class, so it does not compensate for the lack of schema documentation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Generate') and names the exact resource it produces: 'a C# NUnit + Selenium test class.' It also identifies the input source ('from the current browser session'), which clearly differentiates this tool from sibling generators for Java, Python, Gherkin, and other frameworks.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives clear context: this tool is for generating C# NUnit + Selenium test code from the active browser session. This makes the selection criteria reasonably explicit relative to sibling code-generation tools, though it does not explicitly name alternatives or state 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.
Behavior2/5
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 explains what is generated but not whether the tool writes a file, returns YAML content, requires a prior recorded session, or has other side effects. This is a significant gap for a tool with no annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no filler. It front-loads the primary action and artifact, then adds the supporting scope. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no annotations, no output schema, and no parameter documentation, the description is too thin to be fully actionable. It does not explain how the generated pipeline is delivered, what prerequisites exist, or how the language and version parameters affect the output. An agent might invoke it correctly by name, but the context is incomplete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate for undocumented parameters. It mentions Maven, Gradle, and pytest, which loosely maps to the 'language' enum, but it does not explain the 'language' parameter or the 'java_version' parameter at all. The schema defaults help, but the description adds minimal parameter-level meaning.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb ('Generate'), a concrete artifact ('.gitlab-ci.yml pipeline'), and the scope ('recorded test session'). It also lists supported frameworks, which distinguishes it from sibling tools like generate_github_actions and generate_jenkins_pipeline.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'for running the recorded test session' gives clear context on when the tool is appropriate. It does not explicitly state when not to use it or name alternatives, but the context is sufficient to route an agent toward this tool for GitLab CI generation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry behavioral details, but it only states that a Jenkinsfile is generated. It does not disclose whether the tool returns file content, writes a file to disk, requires an active recorded session, or 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that front-loads the action and output artifact. There is no filler, and every part contributes useful scope information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a two-parameter tool with no required parameters, the description gives enough orientation to choose and call it. However, it omits output/return behavior and has no annotation coverage, so an agent still lacks full context about what happens after invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It does add meaning by mapping the language values to real build systems (Maven, Gradle, pytest), but it says nothing about java_version or the defaults, leaving that semantic burden entirely to the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb ('Generate'), a specific resource ('a declarative Jenkinsfile'), and a clear scope ('running the recorded test session'). It also distinguishes this from CI-generator siblings like generate_github_actions and generate_gitlab_ci by naming Jenkinsfile explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies Jenkins-specific usage through 'Jenkinsfile' and limits scope to Maven, Gradle, or pytest sessions. However, it does not explicitly mention when to choose this tool over sibling CI generators, nor does it provide exclusion conditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
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 conveys that the tool is read-only and returns the raw list scoped to the current session, but it does not disclose the output format, ordering, or whether retrieving the log has any side effects. This is adequate for a simple getter 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single front-loaded sentence with no wasted words. Every part—'Return', 'raw list', 'recorded actions', and 'current session'—carries meaningful information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a parameterless, read-only getter with no output schema, the description gives enough to understand the tool's purpose and scope. It could be more explicit about what 'recorded actions' includes and the exact structure of the returned list, but the core usage is clear.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so there are no parameter semantics for the description to clarify. The schema is empty and the description adds the relevant context of returning a raw list for the current session, satisfying the baseline for a no-parameter tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Return'), a clear resource ('raw list of recorded actions'), and a scope ('current session'). It distinguishes the tool from siblings like clear_session_log by virtue of 'return' versus clearing, and from get_console_logs/get_network_logs by focusing on recorded session actions, though it does not explicitly name those alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies that this tool is used to retrieve the session's recorded actions, but it gives no explicit guidance on when to choose this over related tools such as clear_session_log, get_console_logs, or get_network_logs. There are no exclusions or alternative conditions provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
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 adds a key behavioral trait: 'Injection survives until the page is reloaded,' which informs the agent about the mock's lifespan. However, it doesn't mention side effects like whether new mocks override existing ones, whether all HTTP methods are intercepted, or how a mock is removed before reload.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences deliver the core purpose, a use case, and a critical behavioral detail with no filler. The most important information is front-loaded, making it easy for an agent to quickly understand the tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the primary behavior and lifespan, which is adequate for a straightforward mock tool. But given there is no output schema and no annotations, it would be stronger if it mentioned how mocks are cleared (related sibling 'clear_mock_responses'), behavior with multiple patterns, or whether the status/body defaults apply. It's complete enough for basic use but has notable gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 50%, with body and url_pattern documented, but status and content_type lack descriptions. The tool description only reinforces 'URL pattern' and does not add meaning for the undocumented status and content_type parameters. Thus it fails to compensate for the schema's gaps.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function with a specific verb ('Intercept') and resource ('fetch/XHR requests'), and specifies what it returns ('a canned response'). It is unambiguous and naturally distinct from siblings like 'navigate' or 'click', though it doesn't explicitly name or contrast with the closely related 'clear_mock_responses'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear usage context: 'Useful for testing without a real backend.' This tells an agent when to consider this tool. It doesn't explicitly state when not to use it or mention alternatives such as 'clear_mock_responses', but the presence of an obvious use case is sufficient for a solid score.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of explaining behavior. It does disclose that keys go to the focused element unless a selector is provided, which is useful. However, it does not mention what happens when no element is focused, whether the selector is awaited or scoped by the 'by' parameter, or any error/side-effect behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact and front-loaded: it states the action and target in the first sentence, then provides concrete key-name examples in the second. Every word earns its place with no fluff or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple keyboard-action tool, the core call pattern is adequately conveyed. However, given no output schema and no annotations, the description omits useful context about timeout behavior, selector strategy ('by'), and how this tool differs from 'type_text'. It is sufficient for basic use but not fully complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is only 50%: 'key' and 'selector' have descriptions, while 'by' and 'timeout' do not. The description adds useful examples for the 'key' parameter and clarifies that 'selector' focuses an element first, but it does not explain the meaning of 'by' or 'timeout', so it only partially compensates for the schema gaps.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action: 'Send a key or key combination' to either the focused element or a selector-targeted element. It distinguishes itself from typical text-entry behavior by focusing on special keys and combos, though it does not explicitly differentiate from the sibling 'type_text' tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The examples ('tab', 'enter', 'ctrl+a') imply that this is for keyboard-level input rather than free text, and it mentions the optional selector for targeting a specific element. However, it provides no explicit guidance on when to use this versus 'type_text' or other input-related siblings, nor any exclusions or preconditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full disclosure burden. It does reveal one useful behavioral trait — the result is returned as base64 rather than a file path or binary — but it omits whether the capture is viewport-only or full-page and does not state prerequisites such as an active browser session.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence with no filler; the action verb is front-loaded and the base64 return detail earns its place. Nothing could be trimmed without losing meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter tool with no output schema, this is close to complete: it states the action and the return encoding. The only real gaps are the viewport-versus-full-page ambiguity and the implicit browser-session requirement, which are marginal for a simple capture tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the baseline 4 applies and there is nothing for the description to explain about parameters. The empty schema is trivially fully covered at 100%.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('take'), a resource ('screenshot'), and the return format ('base64'), making the tool's function unambiguous. It doesn't explicitly differentiate from the sibling compare_screenshot, though the capture-versus-compare distinction is inferable from the verbs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given on when to use this tool instead of alternatives. The sibling list includes the closely related compare_screenshot, but the description neither mentions it nor states any condition that would route an agent to one tool over the other.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It discloses that the operation is a read and scopes results to the current page, but it does not describe how a missing cookie is handled, the structure of returned cookie objects, or whether domain/path filtering applies. This is acceptable for a simple getter but omits useful behavioral details.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence that states the primary behavior and the conditional behavior without any filler. Every word contributes to understanding the tool's function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple read tool with one optional parameter and no output schema, the description covers the main invocation scenarios (all vs. by name) and scopes to the current page. It could additionally specify return format or missing-cookie behavior, but these are minor gaps for the tool's complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already documents the 'name' parameter as 'Cookie name (optional — omit for all)' with 100% coverage. The description's 'all cookies... or a single cookie by name' essentially restates that semantic without adding new meaning, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Return') and resource ('cookies'), and clearly states the two modes: all cookies for the current page or a single cookie by name. This distinguishes get_cookies from sibling set/delete cookie tools, which involve different actions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool versus alternatives like get_local_storage or get_session_storage. It does not mention exclusions, prerequisites, or contextual conditions. The only implicit usage signal is that the tool reads cookies, which is not enough to guide selection among storage-related siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the behavioral burden, but it only states the action. It does not disclose what happens after the right-click, whether a native context menu appears, how timeouts behave, or what occurs if the element is not found.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler. Every word contributes to understanding the tool's core purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple low-complexity action with full schema coverage, the description is mostly complete: it states the action and target, and the schema documents all parameters. It could add more behavioral context, but nothing critical is missing for basic invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
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 'by', 'timeout', and 'selector'. The description adds no additional parameter meaning beyond tying the action to 'an element'.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific action ('Right-click') and target ('an element'), and the parenthetical '(context menu)' clarifies the intent. It clearly distinguishes right_click from sibling tools like click, double_click, and hover.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase '(context menu)' implies the tool is used when a context menu is needed, but the description gives no explicit guidance about when to prefer this over click, double_click, or hover. No alternatives are named and no exclusions are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral disclosure burden. It does convey that this is an assertion operation supporting exact and substring matching, but it does not disclose what happens on failure, whether the title is fetched fresh, or whether the tool is non-mutating.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler. Every word contributes to understanding the tool's purpose and primary behavior.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple two-parameter assertion tool, the description provides a minimally viable understanding. However, without annotations or an output schema, it should ideally also explain the exact flag semantics and failure behavior to be fully complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate. It identifies the 'expected' parameter as the text to match and hints at the 'exact' parameter through 'equals or contains', but it does not explicitly state that exact=true means exact match and exact=false/default means contains.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb ('Assert'), a specific resource ('page title'), and the core behavior ('equals or contains expected text'). This clearly distinguishes it from sibling tools like assert_url or assert_text.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is used when verifying the page title against expected text. However, it does not explicitly state when not to use it or point to alternatives such as assert_url or assert_text, leaving the usage guidance implicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full responsibility for behavioral disclosure. 'Close and quit' clearly indicates the browser session is being terminated, but it does not disclose consequences such as all tabs/windows closing, session state loss, or whether the browser process is fully quit. The core behavior is stated, but side effects remain implicit.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence with no filler. Every word contributes meaning, and the action is front-loaded. It is concise without sacrificing clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter, no-output-schema tool, the description provides adequate basic context: the tool closes and quits the browser session. It could be richer by explicitly contrasting with close_current_tab or warning about the irreversible termination, but the simplicity of the operation lowers the required burden.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so there is nothing for the description to explain. The schema already documents an empty properties object with 100% coverage, and the description appropriately avoids inventing parameter details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a clear verb pair ('Close and quit') and identifies the resource ('browser session'). It implicitly distinguishes from sibling tools like close_current_tab by referring to the whole session, but it does not explicitly differentiate itself from those alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage context is implied by the phrase 'browser session' versus sibling close_current_tab, but the description provides no explicit when-to-use guidance, no mention of when not to use it, and no reference to alternatives. An agent must infer that this ends the entire session rather than a single tab.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
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. While 'Delete all' clearly signals a destructive mutation, it does not disclose consequences such as invalidating authentication, irreversibility, or whether other sessions or browsing contexts are affected. It also says nothing about return behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, tight sentence with no filler. The action verb and object are front-loaded, and every word contributes to the meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter destructive action, the description is minimally sufficient but omits side-effect warnings and any indication of post-deletion behavior such as session invalidation or return value. No annotations or output schema exist to fill those gaps, so completeness is moderate.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool accepts zero parameters and has 100% schema coverage, so there is no parameter documentation burden on the description. The 'current session' phrasing still adds useful scoping context beyond the empty schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Delete' and precisely scopes the action to 'all cookies' in the 'current session.' This distinguishes it from sibling delete_cookie, which targets a single cookie, and from read-only cookie tools like get_cookies.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides the context of clearing the entire cookie set for the current session, but it does not explicitly contrast this with delete_cookie or state when to use one over the other. The differentiation is left to inference from the tool name and sibling list.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations at all, the description carries the full disclosure burden, and it does well: it reveals supported element types (text inputs, textareas, checkboxes, radio buttons, selects), checkbox value semantics (true/false), and the optional side effect of clicking a submit button — a mutation risk the agent should know about. Minor omissions (behavior on unsupported elements, whether existing values are cleared) keep it from a 5.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Three short, dense sentences with zero filler. The purpose is front-loaded, the value-format semantics are compressed into one informative sentence, and the optional submit side effect gets its own sentence. Every line earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is moderately complex — 4 parameters, a nested object, multiple supported field types, no output schema, and no annotations — so the description must do more than it does. The core fill-and-submit flow is covered, but the locator strategy (by), timeout semantics, and failure behavior are absent. An agent could invoke it correctly for the happy path but would be under-informed about configuration options.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 50%: fields and submit have descriptions, but by and timeout are bare. The description adds meaning for the fields map (selector-to-value, checkbox true/false, select by visible text or value), partly duplicating the schema, but it never explains what the `by` parameter controls (despite asserting CSS selectors while a default strategy parameter exists) or what `timeout` governs. The gaps leave the agent guessing about two of four parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific verb and resource: 'Fill multiple form fields in a single call.' It clearly distinguishes itself from single-element siblings like type_text, click, and clear_field through the emphasized batching aspect. It stops short of a 5 because it never names a sibling explicitly, leaving the differentiation to inference.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The usage context is implied rather than stated: filling multiple fields at once, with automatic handling across input types, suggests when it beats type_text or select_option. However, there is no explicit when-not guidance, no mention of preferring type_text for a single field, and no prerequisites stated (e.g., form must be present, page must be loaded). It is usable but relies on the agent inferring the boundary conditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
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 does reveal the core behavior: capturing recorded actions and converting them into a runnable pytest + Selenium test. However, it does not disclose whether the current session or session log is consumed/cleared after generation, whether an active session is required, or what the tool returns (generated code string vs. writing a file) — and there is no output schema to fill that gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two tight sentences with zero filler. The core action and target framework are front-loaded in the first sentence, and the second sentence earns its place by enumerating which recorded action types are captured. Every word contributes.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a low-complexity tool (two optional parameters with defaults, no output schema, no annotations), the description covers the essential calling context: what it produces, from what source, and for which framework. The notable gap is the unspecified return format and unclear side effects on the recorded session, which an agent needs since no output schema exists. It is adequate but stops short of complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, with both test_name and class_name already documented as 'Name of the test function' and 'Name of the test class.' The description adds no additional meaning about these parameters, so the baseline score of 3 applies. Nothing is missing, but the description contributes no value beyond the schema here.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: 'Generate a pytest + Selenium test script from the current browser session.' It names the exact framework and lists concrete captured action types (navigate, click, type, hover, drag, select), which distinguishes it from sibling generators like generate_java_junit5, generate_java_testng, generate_csharp_nunit, and generate_gherkin. An agent can confidently select this tool when a Python pytest test is needed.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'from the current browser session' provides a clear precondition: the tool consumes the recorded actions of an active session. However, it never states when NOT to use it or mentions alternatives among the many generator siblings, such as using generate_java_junit5 for a Java target or generate_gherkin for BDD. The usage context is implied rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The word 'Return' implies a read-only operation with no side effects, which is useful since no annotations are provided. However, the description does not disclose error behavior (e.g., what happens if no page is open), waiting semantics, or the exact format of the returned URL. With zero annotations, more behavioral detail would be beneficial.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The entire definition is a single five-word sentence with no filler. It is appropriately sized for a tool with no parameters and a trivial return value. Every word contributes to the meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with zero parameters and no output schema, the description conveys the core function but omits context such as prerequisites (e.g., an active page) and the return value's format. These are minor gaps for such a simple tool but still leave some ambiguity. Slightly more context would make it fully self-sufficient.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema is empty (0 parameters), so there are no parameter semantics to clarify. The baseline of 4 applies because the description is not required to compensate for any missing schema. No parameter information is needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly specifies the operation ('Return') and the resource ('the current URL'). It is unambiguous and distinct from sibling tools like get_page_source or get_page_title, which target different resources. Even without an explicit contrast, the tool's function is obvious.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool versus alternatives such as get_page_source or navigate. The only signal is the description itself, which implies a simple read after a page has been loaded. No exclusions or conditions are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It states the core action but does not disclose edge-case behavior (e.g., behavior when no history exists, page reloads, or return value). For a simple navigation action this is acceptable 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no redundant filler. Every word contributes to explaining the tool's function, making it appropriately concise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no parameters, no annotations, and no output schema, the description conveys the essential purpose well. It does not address edge conditions or return values, but the simplicity of the tool keeps this gap minor.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the rubric's baseline of 4 applies. There is no parameter information that the description needs to add.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear action ('navigate back') and target resource ('browser history'), making the tool's function obvious. It distinguishes itself from siblings like go_forward by specifying 'back', but does not explicitly name alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied by the description: an agent would use this when wanting to move backward in browser history. However, there is no explicit guidance on when to choose it over go_forward or navigate, and no mention of prerequisites such as existing history.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It accurately describes the primary behavior but discloses no edge cases: what happens if there is no forward history, whether it waits for page load, or what it returns. This is acceptable for a simple zero-parameter action but not deeply transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence with no filler. 'Navigate forward in browser history' conveys the full intended action economically and without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter, no-output-schema, no-annotation navigation tool, the description is largely complete. An agent can invoke it correctly with the information provided. The only gap is lack of detail about behavior when there is no forward history, which is a minor omission for such a simple action.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
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, so the baseline is 4. The description appropriately adds no parameter-specific details because there are no parameters to describe.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action ('Navigate forward') and a clear resource ('browser history'), so an agent can understand the operation. However, it doesn't explicitly differentiate itself from siblings like go_back or navigate beyond the word 'forward', leaving some differentiation implicit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The usage is implied: it is for moving forward through browser session history. But the description does not state when to use it vs go_back, when it might fail, or any prerequisites such as having gone back first. The guidance is inferable but not explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the behavioral disclosure burden. It discloses the audit scope and the specific issue categories, which implies a non-mutating audit. However, it does not disclose the return format, whether failures cause exceptions, or how the output is structured.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that front-loads the primary action and then provides a compact list of audit checks. There is no filler, repetition, or irrelevant detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple one-parameter tool, the description gives enough context to select and invoke it, and the enumerated checks help set expectations. However, the undocumented severity-filtering behavior and unspecified return/output format leave noticeable gaps, especially with no output schema or annotations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%: the description never mentions the 'level' parameter. The schema provides an enum and default, but the meaning of severity filtering and whether 'critical' means only critical issues or critical-and-above is left entirely to inference.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific action, 'Run a built-in accessibility audit on the current page', and enumerates concrete checks such as missing alt text, heading structure, and keyboard accessibility. This clearly distinguishes it from sibling tools like inspect_page, get_page_source, and assertion tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description makes the usage context clear: run it on the current page when an accessibility audit is needed. It does not explicitly name alternatives or exclusions, but no direct accessibility-audit sibling exists, so the guidance is adequate.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
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 behavior. It clearly indicates that the action log will be cleared and that the tool starts fresh, which conveys the destructive/reset nature of the operation. It does not describe return values or side effects beyond the log, but for a zero-parameter utility this 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is one short sentence that states both the action and the desired outcome. There is no redundant or irrelevant information; it earns its place by being direct and immediately understandable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's trivial input surface (no parameters, no output schema, no nested objects), the description is complete enough for an agent to invoke it correctly. It explains what the tool does and what state results, which is all that is realistically needed here.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and the schema coverage is 100%, so there are no parameter semantics to clarify. The baseline for zero-parameter tools is 4, and the description does not need to compensate for any missing parameter information.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action ('Clear') and a specific resource ('recorded action log'), and 'start fresh' clarifies the intended result. It is clear on its own, though it does not explicitly differentiate itself from sibling tools like get_session_log.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool versus alternatives. Unlike get_session_log, which reads the log, this tool resets it, but the description does not explain when resetting is appropriate or what consequences follow for other session state.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the transparency burden. It clearly discloses the destructive action and the immediate side effect of switching to the previous tab. However, it does not address edge cases such as what happens when only one tab is open, whether the browser/window may close, whether the action is undoable, or whether confirmation prompts can appear.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no filler. The action and its result are front-loaded, and every word contributes meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter tool with no output schema, the description states the trigger condition and the outcome clearly. It is close to complete for the core behavior, though additional context about single-tab behavior or browser lifecycle would make it fully robust.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the schema coverage is trivially complete and there are no parameter semantics to document. The description correctly implies that the target is implicit via the current active tab, matching the parameterless interface.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a precise verb-resource pair ('close the currently active tab') and adds the behavioral consequence ('switch to the previous one'). The target resource is clear, and the phrase 'active tab' differentiates it from sibling tools like close_browser and go_back.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to choose this tool over close_browser, open_new_tab, switch_to_window, or go_back. There are no conditions, exclusions, or alternatives mentioned. The only usage inference comes from the tool name and the action itself.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations and no output schema, the description must carry behavioral disclosure, and it does state the operation is a find/lookup rather than a mutation. However, it does not mention behavior on timeout, failure, or closed shadow roots, nor what is returned, leaving some agent uncertainty.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences: the first states the purpose, the second states the invocation pattern. No filler or repetition; the critical details are front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a low-complexity find tool with two required selectors and one obvious timeout, the description provides enough to invoke it correctly. Remaining gaps are minor: no explicit return value or failure behavior, but the operation is simple and the sibling tooling implies standard find semantics.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already describes host_selector and shadow_selector, and the description adds only their order, not new meaning. The timeout parameter is undocumented in the schema and unmentioned in the description, so about one third of the parameter surface gets no semantic help.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific verb and resource ('Find an element inside a shadow DOM'), which immediately distinguishes this tool from generic find_element/find_elements siblings. The second sentence adds the input model: host selector then selector within the shadow root.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The shadow-DOM phrasing makes the intended use case inferable, but the description never explicitly contrasts it with find_element/find_elements or says when not to use it. It provides how-to instructions, not when-to-use/alternative guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses the input source (recorded browser session) and the output target (Playwright TypeScript hints), which is useful. However, it does not explain whether the tool returns code inline, saves to a file, overwrites prior hints, or has any side effects, leaving some ambiguity about its behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that front-loads the core action and target. It contains no filler, no redundant restating of the tool name, and every word adds meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter generator with no annotations and no output schema, the description covers the main purpose and source but omits the role of test_name and the exact return format. It is functional and clear enough for basic invocation, but not fully complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has one optional parameter, test_name, with 0% description coverage. The description does not mention this parameter or explain how it affects the generated hints. The parameter name and default are self-explanatory, but because schema coverage is low, the description should have compensated by at least referencing the test name parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb ('Generate'), the resource ('Playwright (TypeScript) code hints'), and the source ('recorded browser session'). It also differentiates the tool from sibling code generators by naming the exact framework and language, so an agent can distinguish it from generate_python_test, generate_java_testng, and similar tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives clear context for when to use this tool: when the agent needs Playwright/TypeScript code derived from the recorded session. It does not explicitly name alternatives or state when not to use it, but the language/framework-specific mention provides enough differentiation from sibling generators to guide selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
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 usefully states what the generated POM will contain, but it does not say whether the tool writes a file, overwrites an existing pom.xml, or returns XML content. These are meaningful side-effect gaps for a generation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that front-loads the main action and immediately lists the key configuration points. There is no filler, redundancy, or restatement of the tool name, making it efficiently scannable for an agent.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple generation tool with zero required parameters and a fully documented schema, the description captures the essential output contents well. It could be more complete by stating the file destination, overwrite behavior, or return type, but nothing critical is missing for correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so all four parameters already have their own descriptions and the schema does the heavy lifting. The description adds overall context about Java 17 and included plugins, but it does not provide additional parameter-level semantics, validation rules, or relationships beyond what the schema offers.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific verb plus resource ('Generate a standard Maven pom.xml') and gives concrete composition details: TestFly 1.0.0, Java 17+, maven-compiler-plugin, and maven-surefire-plugin. This clearly distinguishes the tool from sibling generator tools like generate_java_junit5, generate_testfly_config, or generate_python_test, which produce different artifacts.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implicitly tells the agent this is the tool to use when a TestFly-configured Maven POM is needed, but there is no explicit when-to-use or when-not-to-use guidance. It does not compare itself to sibling generation tools or state any conditions for choosing it over alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral disclosure burden. It does add value by stating the log categories and the Chrome-only limitation, but it does not mention whether logs are live/cached, what the return format is, or how the level filter affects output. This leaves meaningful gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences with no filler. The main action and resource are front-loaded, and the platform limitation is stated efficiently at the end. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a simple one-parameter read tool with no output schema, so the description does not need to explain much. It clearly states the return subject and the platform constraint, and the optional parameter is fully defined in the schema. A little more detail about the return format would improve it, but it is otherwise complete enough.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has zero description coverage, but the single `level` parameter is self-documenting through its enum values and default. The description mentions 'errors, warnings, info', which loosely aligns with the enum, but it does not explicitly explain the `level` parameter or how it filters results. The schema provides most of the parameter meaning.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb 'Return' with a clear resource, 'browser console logs', and further scopes it to '(errors, warnings, info)'. It also names the platform restriction 'Chrome only', which helps distinguish it from similar tools like get_network_logs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The usage context is implied: use this tool when you need browser console logs. However, it does not explicitly state when to prefer it over alternatives such as get_network_logs, get_session_log, or when not to use it. The 'Chrome only' constraint is useful but not full usage guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
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 discloses the read-only nature implicitly via 'Return' and the Chrome-only constraint, and it states what data is included. However, it does not explain how logging is scoped (e.g., since the browser started), whether retrieval clears the captured logs, or any side effects. This is 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that front-loads the core action and resource, then adds the key output fields and the platform constraint. Every word earns its place; there is no redundant or filler content.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity, three optional parameters, and the absence of an output schema, the description provides enough information to invoke the tool correctly and understand the returned data. It does not explain the capture window or ordering, but these are minor omissions for a straightforward log-retrieval tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the parameters (limit, method, url_filter) are already fully documented in the schema. The description does not add any parameter-specific semantics or examples beyond what the schema provides, so the baseline score of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Return') and a specific resource ('captured XHR/fetch network requests'), and lists the data fields included (method, URL, status, timing). This clearly distinguishes the tool from sibling log tools like get_console_logs, which handle console messages rather than network traffic.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use the tool—when network request details are needed—but it does not explicitly name alternatives or explain when not to use it. The 'Chrome only' constraint provides a platform-level restriction, but there is no guidance comparing this tool to other browser automation or logging tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
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 correctly signals a read-only operation, but it does not mention that the HTML source reflects the current DOM state (potentially after mutations) or that the result may be large. These details are absent, though the core behavior is accurately stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no wasted words. The verb and resource are front-loaded, and every word adds meaning. It is appropriately sized for the tool's simplicity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter, no-output-schema tool, the description conveys the essential return value: the current page HTML source. It could additionally note formatting or error behavior when no page is loaded, but the core information an agent needs is present.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
This tool takes zero parameters, so the input schema is already fully complete. The description correctly focuses on the return value rather than inputs. The baseline of 4 for a zero-parameter tool applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: 'Return the current page HTML source.' This clearly distinguishes it from sibling getters like get_page_title and get_current_url, which return different data. There is no ambiguity about what this tool produces.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is given about when to use this tool over alternatives such as inspect_page or get_current_url. The description does not provide context, exclusions, or conditions for selection, leaving the agent to infer appropriate usage.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations and no output schema, the description carries the full behavioral burden. It discloses the resource scope and the returned attributes, which is useful, but it does not specify the return format, ordering, index meaning, or behavior when no windows/tabs are open.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single focused sentence with no redundant words. It front-loads the operation and immediately provides the relevant output fields.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple, parameterless listing tool, the description is nearly complete. It states exactly what the agent should expect to receive, though the absence of an output schema means the exact return structure is left unspecified.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
This tool has zero parameters, so there are no parameter semantics to document. The description correctly implies an unparameterized call, meeting the baseline for a no-parameter tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('List') and the resource ('all open browser tabs/windows'), and specifies the returned fields (index, title, URL). This differentiates it from single-tab retrieval tools like get_current_url and get_page_title.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no explicit guidance on when to use this tool versus alternatives such as switch_to_window, get_current_url, or get_page_title. There is no mention of prerequisites, exclusions, or a typical workflow before switching windows.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
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 clearly states the core action and optional URL navigation, but it does not disclose whether the new tab becomes the active tab, whether a handle is returned, or any side effects beyond opening the tab.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, front-loaded sentence states the action and the one modifier. Every word earns its place, with no redundant filler or restatement of the tool name.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one optional parameter and no output schema, the description is largely sufficient. It covers the action and the parameter's role, though it could be slightly more complete by noting what happens when no URL is provided or whether the new tab receives focus.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the schema already documents url as optional. The description adds the behavioral context that the URL is used for navigation, but it does not add meaningful detail beyond what the schema already conveys.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Open') and a clear resource ('new browser tab'), and adds the optional navigation behavior. The word 'new' distinguishes it from sibling tools like navigate, which operate on the current tab.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'new browser tab' implies this tool is for opening a separate tab rather than navigating the current one, and 'navigate' exists as a sibling. However, there is no explicit statement about when to choose this over navigate or start_browser, nor any prerequisites such as an already-running browser session.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior2/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure, but it does not mention that the frame context persists after the call and that the agent must switch back to default content. It also omits what happens on failure or timeout, which is important for a state-changing navigation tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The entire description is one focused sentence with no filler or repeated schema content. The primary action is front-loaded and the parameter guidance is compact.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness2/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Frame switching is behaviorally tricky: after switching, subsequent commands target the iframe, and the agent must later return. The description does not mention this, nor does it guide the agent to switch_to_default_content. Given zero annotations and no output schema, this is a meaningful completeness gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaningful grouping to the schema by stating that an index, name/id, or CSS/XPath selector can be provided. This compensates for the lack of required fields and clarifies how the loosely-coupled parameters relate to each other, though it does not explain the 'by' or 'timeout' parameters in detail.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Switch') and a clear resource ('iframe'), making it obvious this tool changes the active browsing context to a frame. It also enumerates the three acceptable locating strategies, which distinguishes it from window-related siblings like switch_to_window.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly implies when to use it: whenever an agent needs to interact with content inside an iframe. It does not explicitly name alternatives or exclusion conditions, but the iframe focus is specific enough to route an agent correctly among the many sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral burden. It discloses the core interaction and that the dialog is accepted afterward, which is useful. However, it does not explain timeout behavior, what happens if no prompt appears, or any error/edge-case handling.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single front-loaded sentence with no filler. Every word contributes to understanding the tool's purpose and primary behavior.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple two-parameter tool, the core purpose is well covered, but the timeout parameter is left entirely unexplained. Since there is no output schema and no annotations, a bit more detail about waiting behavior or failure conditions would make this fully complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters2/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate for both parameters. It clarifies that text is what gets typed, but it says nothing about the timeout parameter, its unit, or how it affects the operation.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action—typing text into a JavaScript prompt dialog—and explicitly includes the follow-up accept action. This clearly distinguishes it from siblings like type_text, accept_alert, and dismiss_alert, which handle different parts of the interaction.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context: use this when interacting with a JavaScript prompt dialog that requires textual input. It does not explicitly name alternatives or state when not to use it, but the context is specific enough to guide selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations available, the description correctly carries the behavioral disclosure burden and does reveal important output traits: the generated file types and the framework-specific class shapes. However, it omits operational behaviors such as where files are written, whether existing files are overwritten, and what the 'selenium_boot' framework value emits, leaving the agent with incomplete side-effect knowledge.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two dense, front-loaded sentences with no filler. The first sentence states the tool's output, and the second efficiently explains framework variants, so every clause contributes useful information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a multi-file code generator with no output schema and no annotations, the description covers the core artifacts and the two main framework modes. It is incomplete regarding output paths, overwrite behavior, prerequisites beyond the recorded session, and the 'selenium_boot' enum option, so an agent can invoke it correctly for the documented defaults but cannot fully predict all outcomes.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaning to the framework parameter by explaining the emitted code structure for 'testfly' and 'raw', which goes beyond the enum values in the schema. It does not help with 'selenium_boot', and package_name/scenario_name receive no added guidance beyond their defaults, so parameter coverage is only partial.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The opening sentence names a concrete action ('Generate') and a specific multi-part resource: a Cucumber Gherkin .feature file, a Java step definitions class, and a TestNG Cucumber runner, all derived from the recorded browser session. This clearly differentiates it from sibling generation tools like generate_java_testng or generate_python_test, which target different outputs and frameworks.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The definition clearly states the input context — the recorded browser session — and gives actionable framework guidance: use 'testfly' inside a TestFly project and 'raw' for standalone Selenium. It does not explicitly list alternatives or state when not to use this tool, but the intended use case is unambiguous.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral disclosure burden. It discloses the supported selection mechanisms, but does not mention timeout behavior, what happens when no option matches, how multi-select dropdowns are handled, or whether previous selections are cleared. These are notable gaps, though the core behavior is understandable.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence that states the action, target, and all three selection modes with no redundant words. It is 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.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and no annotations, the agent is left without information about return values or failure behavior. The description, together with the schema, covers the essential invocation details, but for a 6-parameter tool it would benefit from notes on option precedence, waiting, and error conditions.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 50%: by, timeout, and selector are documented, while by_text, by_value, and by_index have no schema descriptions. The description partially compensates by mapping these three parameters to visible text, value, and index, but it does not clarify whether they are mutually exclusive or what happens if multiple are supplied.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific action verb ('Select') and a clear resource ('an option from a <select> dropdown'), and explicitly names the three selection modes: visible text, value, or index. This clearly differentiates it from sibling interaction tools like click, type_text, or hover.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context: this tool is for interacting with <select> dropdown elements, not generic elements. It doesn't explicitly name alternatives or state when not to use it, so it falls just short of full guidance, but the target use case is unmistakable.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full burden of behavioral disclosure. It explains the core mechanism—sending an absolute path to the file input—but omits details such as waiting behavior, hidden-input handling, event side effects, and failure outcomes.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The definition is a single, compact sentence with no filler. The verb and target are front-loaded, making the tool's purpose immediately scannable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a four-parameter tool with a fully documented schema, the description is mostly sufficient, but with no annotations and no output schema, it leaves behavioral expectations like wait time, return value, and error conditions undisclosed. The low complexity of the tool keeps this gap from being severe.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the parameters are already well documented. The description adds no new parameter-level semantics beyond reaffirming that the path is absolute and the target is a file input, which the schema already conveys.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action ('Upload a file') and a specific target ('<input type='file'> element'), which clearly distinguishes it from text-entry siblings like type_text, send_keys, and fill_form. It is immediately obvious what resource this tool operates on.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly implies when to use the tool: whenever a file needs to be uploaded through a file input element. It does not explicitly name alternatives or exclusion conditions, but the '<input type='file'>' criterion is a strong and sufficient usage cue.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
There are no annotations, so the description carries the full behavioral disclosure burden. It states the core behavior clearly but does not disclose the return shape, whether it is strictly read-only, or what happens when the directory is not inside a TestFly project. For a simple detection tool this is acceptable but not fully transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences, each earning its place: the first establishes the alias relationship, the second states the detection behavior. No filler, no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter, read-only detection tool, the description is nearly sufficient. It identifies the purpose, the relationship to detect_testfly, and the default scope. The only real gap is the absence of an explicit return-value description, which would be more important without the clear 'detects whether' phrasing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the schema already explains that project_dir is optional and defaults to the server's working directory. The description adds no new parameter-level meaning, so the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description names a specific verb ('detects'), a resource ('current working directory inside a TestFly project'), and explicitly identifies itself as a backward-compatible alias for detect_testfly. This clearly differentiates it from the sibling tool detect_testfly rather than leaving the relationship ambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Calling it a 'backward-compatible alias for detect_testfly' tells the agent the tool is semantically equivalent to detect_testfly and exists for legacy compatibility. It does not explicitly state 'prefer detect_testfly for new code,' but the alias framing gives enough context for selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral disclosure burden. It clearly states the read-only nature via 'Get' and explicitly discloses the fallback behavior (return all keys when no key is given). It does not mention edge cases like missing keys or value formatting, but the core behavior is transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence with no unnecessary words. The primary action is front-loaded, followed by the optional-key fallback. Compact yet complete for a tool this simple.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple optional-parameter getter with no output schema, the description covers the main use cases well. The only minor gap is that the return format for 'all keys' (e.g., array vs. object) is not specified, but this is unlikely to block correct invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already provides 100% coverage with 'localStorage key (omit for all)', and the description's 'if no key is given' only restates that. No meaningful semantic is added beyond the schema, so the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb ('Get'), resource ('localStorage'), and the no-key fallback behavior in one short sentence. This makes it easy to distinguish from siblings like get_session_storage and set_local_storage without opening schemas.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
Describes the two calling modes (with and without a key), which implicitly guides usage, but does not explicitly state when to prefer this tool over alternatives like get_session_storage or set_local_storage. The intended context is implied by the resource name rather than stated as guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral disclosure burden. It reveals meaningful output structure for both named modes: TestFly specifics (extends BaseJUnit5Test, framework-managed driver, open(), accessibility-first locators, assertThat assertions) and JUnit5 standalone specifics (raw Selenium, ChromeDriver setUp/tearDown). It stops short of stating whether the code is returned or written to a file, but the core behavior is transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two dense, front-loaded sentences with no filler. The first states the tool's purpose, and the second efficiently contrasts the two output modes with concrete structural details.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is adequate for the testfly and junit5 modes, but it omits the valid selenium_boot framework option and does not clarify output delivery (returned code vs. file creation). With no annotations and no output schema, these gaps leave the definition not fully complete for all valid invocations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds real meaning to the framework parameter by defining what testfly and junit5 outputs look like. However, schema description coverage is only 33%, and the description leaves the selenium_boot enum option unexplained and offers no semantic help for test_name or package_name beyond their names and defaults.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Generate'), a concrete resource ('Java JUnit 5 test class'), and the source ('current browser session'). This clearly distinguishes it from sibling tools like generate_python_test, generate_java_testng, and generate_csharp_nunit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives clear context for choosing between the testfly and junit5 framework modes, explaining what each emits. It does not explicitly compare against sibling generators like generate_java_testng, nor explain when the selenium_boot enum option should be used, but the main usage guidance is clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of explaining behavior. It clearly states the resulting state—the page is scrolled to the very bottom—but does not disclose details such as whether scrolling is instant, whether it waits for dynamic content, or whether it applies to the main frame. For a zero-parameter tool this 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single clear sentence with no filler or redundancy. Every word contributes to the meaning and the action is front-loaded.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with zero parameters, no output schema, and a simple well-understood action, the description provides enough information for correct invocation. An agent knows exactly what will happen when calling this tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool accepts no parameters, so schema coverage is effectively complete and the description does not need to explain parameter meaning. The baseline of 4 applies because there is nothing for the description to add.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Scroll') and a precise target ('the very bottom'), clearly distinguishing this tool from scroll_to_top and scroll_by. There is no ambiguity about what action is performed on which resource.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool should be used when the agent needs to reach the end of the current page, but it does not explicitly state when to prefer this over scroll_to_element, scroll_by, or scroll_to_top. No exclusions or alternative guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, and it does well: it discloses the detection mechanisms, that it walks up parent directories, and that the result gates the generation framework. It doesn't explicitly state the tool is read-only or describe error cases, but for a detection tool this is sufficient 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two dense sentences with no filler. The core detection semantics come first, followed by actionable downstream guidance. Every clause earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers what the tool detects, how detection works, and what the agent should do with the result. Since there is no output schema, it could go slightly further in describing the exact return shape for both true and false cases, but the key decision signal is clearly stated.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already documents project_dir with 100% coverage, including the optional path and default to the server's working directory. The description reinforces the current-working-directory concept but adds little beyond the schema, so the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb with a concrete resource: it detects whether the working directory is inside a TestFly project. It names exact evidence files and dependency coordinates, making the purpose unambiguous and clearly distinct from sibling tools like detect_selenium_boot or the code generators.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
It gives explicit guidance to call this tool before generating Java code and tells the agent exactly how to respond to detected=true. It doesn't spell out what to do when detection returns false, but the conditional is clear enough for correct tool selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations present, the description carries the full burden, and it does substantial work: it discloses that output compiles as-is, includes only actually performed elements/actions, produces two files, and describes framework-specific behavior such as BasePage/BaseTest inheritance and raw Selenium output. It does not mention file overwriting or output delivery, but this is a strong disclosure for a generator tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is compact and front-loaded with the core purpose, then efficiently covers output guarantees, file structure, and framework variants. Every sentence adds useful information, and there is no filler or repetition of schema defaults.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a code-generation tool with no output schema and no annotations, the description is largely complete: it says what is generated, why it is safe, and how frameworks differ. The main missing piece is the behavior for the 'selenium_boot' enum value, which is a meaningful gap given the otherwise careful framework documentation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
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, and the description does add flavor about framework internals (accessibility-first locators, web-first assertThat, BasePage/BaseTest). However, the framework enum includes 'selenium_boot', which is neither explained in the schema description nor in the tool description, leaving the agent unable to predict what that output flavor produces.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Generate') and a concrete resource ('Java Page Object class + matching test class') sourced from the recorded session. It clearly distinguishes itself from test-only generators like generate_java_testng by promising both a Page Object and a test class, and by emphasizing that output compiles as-is and never invents fields or framework APIs.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'USE THIS INSTEAD OF WRITING JAVA BY HAND' and explains the benefit: compiling output that only reflects performed actions. It gives clear framework-selection guidance for testfly vs testng/junit5, though it does not explicitly contrast this tool with sibling code-generation tools like generate_java_testng.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It clearly indicates a read operation and the special behavior when key is omitted, which is valuable context beyond the tool name. It does not mention what happens when a key is absent or the exact return format, but it covers the main decision-relevant behaviors.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence with no filler, front-loading the core action and then adding the optional behavior. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple getter with one optional parameter and no output schema, the description explains the essential behavior and the no-key case. It is slightly thin on return-format details, but the tool is simple enough that this is a minor gap rather than a blocking omission.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already documents the key parameter and says 'omit for all', giving this a baseline of 3. The description adds meaning by specifying the outcome difference: getting a value versus returning all keys, which clarifies the parameter's behavioral effect.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb (get), the resource (sessionStorage), and the key behavior: returning a single value or all keys when no key is provided. This differentiates it from sibling storage tools like get_local_storage and set_session_storage.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool is for reading from sessionStorage and that omitting the key returns all keys, but it does not explicitly state when to prefer this over alternatives or mention any exclusions. The resource name makes the context clear, but no explicit routing guidance is provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full behavioral burden. It correctly explains the directionality of positive values, but it does not explicitly state what negative values do (though logically inferable), whether scroll is smooth or instantaneous, or whether it scrolls the main viewport or some focused scrollable container. This is 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.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single sentence that front-loads the operation and directionality with zero filler. Every word adds value, and the key behavioral implication (positive direction) is included without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
This is a simple two-parameter action with no output schema, so the description plus schema defaults are nearly sufficient. It explains what the action does and how values map to direction, but it could mention that scrolling is relative to the current position and what the default behavior with no parameters is (defaults are already in the schema). For a low-complexity tool, this is complete enough.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already documents x and y with 'Horizontal pixels' and 'Vertical pixels' at 100% coverage, so the baseline is 3. The description adds the directional mapping ('positive = down/right'), clarifying that increasing x scrolls right and increasing y scrolls down, which is useful beyond the schema. It does not go into negative-value detail, but the implication is clear.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb, resource, and mode: 'Scroll the page by a given number of pixels.' The directional convention 'positive = down/right' adds precise semantic clarity. This clearly distinguishes scroll_by from sibling tools like scroll_to_top, scroll_to_bottom, and scroll_to_element, which target absolute positions rather than pixel offsets.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'by a given number of pixels' clearly communicates the use case: when an agent needs precise relative scrolling rather than scrolling to a named position. It does not explicitly mention when not to use it or name alternatives, but the context is strong enough to avoid confusion with the absolute scroll tools among siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the behavioral burden and does state the core action and outcome. It does not mention edge cases like missing elements or nested scroll containers, but for a straightforward page-scroll operation the behavior is sufficiently transparent.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single front-loaded sentence with no filler or redundancy. Every word contributes to identifying the action and target, making it easy for an agent to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple, low-risk browser automation action, the description plus a fully documented schema is enough for an agent to invoke the tool correctly. Minor missing details such as scroll alignment or failure behavior are not essential to making a correct call.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema descriptions cover 100% of the three parameters, so the description does not need to explain selector, by, or timeout semantics in detail. The description adds no locator-level meaning beyond what the schema already provides, so the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('scroll') and a clear target ('an element'), which distinguishes it from sibling tools like scroll_to_top, scroll_to_bottom, and scroll_by. The phrase 'bring an element into view' unambiguously states the tool's purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly implies when to use the tool: when an element needs to be brought into view, typically before interacting with it. It does not explicitly name alternatives or exclusions, but the element-focused wording gives enough context for correct selection among scrolling siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations present, the description carries the full burden and does a good job: it defines 'idle' as no active XHR/fetch requests for a quiet period and adds a second condition (readyState === 'complete') that is not obvious from the tool name. It stops short of disclosing the outcome when the timeout is reached, though the timeout parameter's schema description partially covers that.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Three short sentences, front-loaded with the primary action, followed by usage context and a secondary condition. No filler or redundant restatement of the schema.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is low-complexity (no required parameters, no output schema) and the description covers the core wait condition and when it is essential. The only missing element is the explicit return/error behavior on timeout, which the timeout parameter's 'give up' wording only hints at; still, an agent can invoke it correctly without that detail.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% — each of the three parameters has an explicit description in the input schema — so the baseline is 3. The description's phrase 'quiet period' echoes the idle_time_ms meaning but adds no parameter-specific information beyond what the schema already provides.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
Description opens with a specific action and resource: 'Wait until there are no active XHR/fetch requests for a quiet period,' which clearly distinguishes it from element-based wait tools like wait_for_element. The additional note about document.readyState further pinpoints the exact condition being awaited.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
It explicitly identifies the target use case: 'Essential for SPAs and pages that load data asynchronously,' which tells an agent when to invoke this tool after navigation or refresh. It does not name alternative wait tools or exclusions, but the context is clear enough to route selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
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 explains what the tool does and the consequence of calling it, which is sufficient for a zero-parameter operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that front-loads the action ('Clear') and states the outcome without any filler words or redundant detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple no-parameter cache-clearing operation, the description is complete. It explains the purpose, the behavior, and the result, and no output schema is necessary for such a void-like action.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and full schema description coverage, so there is no parameter information needed. The baseline of 4 applies because the schema fully covers the empty parameter set.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Clear'), the resource ('self-healing locator cache'), and the resulting effect ('all selectors are re-evaluated from scratch'). This clearly distinguishes it from related tools like get_healed_locators.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use it: whenever stale selectors need to be re-evaluated. However, it does not explicitly state when not to use it or mention alternatives, leaving some usage nuance to the agent.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, and it does state the exact observable effect: the page is scrolled to the very top. It does not disclose additional details like smooth vs. instant scrolling, but no significant side effects or requirements are hidden for such a simple action.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single clear sentence with no wasted words. The core behavior is front-loaded and instantly readable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a parameterless, simple action with no output schema, the description is complete enough for an agent to select and invoke it correctly. Nothing essential is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool takes zero parameters, so the baseline is 4 because there is no parameter detail for the description to supplement. The description's direct action statement is sufficient given the empty schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: it scrolls the page to the very top. It clearly distinguishes itself from sibling tools like scroll_to_bottom and scroll_by.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The intended use is implied by the description: use this when the goal is to bring the page to its top position. However, it does not explicitly mention alternatives or exclusion conditions such as scroll_by for relative scrolling.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
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 clearly states the action and the context, but it does not mention what happens if the current context is not a frame, such as whether it is a no-op or raises an error. This is a minor gap for such a simple, zero-parameter tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single concise sentence that fully communicates the tool's purpose and context. Every word earns its place; there is no padding or repetition.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given that the tool takes no parameters, has no output schema, and performs a single straightforward action, the description is complete. An agent can correctly invoke it without additional guidance.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so there is no parameter semantics burden on the description. The schema coverage is 100% and no parameters need documentation; the description's lack of parameter detail is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Switch back') and identifies the exact target ('main page content') and origin ('inside a frame'). This clearly distinguishes it from switch_to_frame and switch_to_window, which are present among siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'from inside a frame' gives clear context for when this tool applies. It does not explicitly state 'use this instead of switch_to_frame when returning to the top-level document,' but the intended usage is strongly implied and easy to infer.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral disclosure burden. It reveals the state-changing behavior (saving a baseline on first run or when update_baseline=true), the return value (pixel diff percentage), and a dependency caveat (Pillow for accuracy). It does not specify what happens when the threshold is exceeded or whether Pillow is required, which are minor gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is three sentences with no fluff. The first sentence front-loads the primary purpose, followed by side-effect, return behavior, and an implementation note. Every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema and no annotations, the description is fairly complete: it explains the core comparison, baseline-saving behavior, return value, and dependency. It stops short of clarifying threshold-failure behavior and the exact role of Pillow, but overall it provides enough for an agent to invoke the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema already documents 'name' and 'threshold' well. The description adds meaning beyond the schema by explaining update_baseline=true saves the baseline, which is otherwise undocumented. It also connects the return value to the comparison, giving the threshold parameter practical context.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('compare') and a clear resource ('current page screenshot against a saved baseline'), which clearly separates it from sibling tools like take_screenshot. It also states the return value and the baseline-saving side effect, leaving no ambiguity about the tool's core function.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives clear context for when to use the tool: to compare the current page against a saved baseline, including first-run or update_baseline=true behavior. It does not explicitly name alternatives or state when not to use it, but the use case is well implied and distinct from capturing a screenshot.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
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 communicates that this is a read-style retrieval operation and specifies the content of the returned mappings. It does not explicitly state that it has no side effects, but 'Return' strongly implies it.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two concise sentences with no filler. The first sentence states the core purpose, and the second adds useful detail about the content of the result. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple parameterless getter with no output schema, the description is complete: it names the resource, the scope ('from this session'), and what information the result includes. Minor omissions like behavior when no locators were healed are not significant given the tool's simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so parameter documentation is unnecessary. The schema already reflects this with 100% coverage, and the description provides all relevant context about the resource being returned.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Return') and resource ('self-healed locator mappings from this session'), and clarifies exactly what the result shows: which selectors were repaired and what they were replaced with. This clearly differentiates it from its sibling clear_healed_locators.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context: this tool is used to inspect locator healing performed during the session. It does not explicitly mention alternatives or when not to use it, but the distinction from clear_healed_locators is intuitively obvious given the 'return' vs 'clear' language.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It clearly communicates a read-only discovery behavior and describes the output (interactive elements with CSS selectors and labels). It does not mention side effects, but the verb 'discover' and the focus on inspection make the non-destructive nature reasonably clear.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with zero filler: the first fronts the action and the value proposition, and the second gives a clear usage directive. Every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter inspection tool, the description is largely complete: it states what the tool does, what it returns, and when to use it. With no output schema, it could be slightly more explicit about the return format, but 'best CSS selectors and labels' gives enough shape for an agent to proceed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the schema is trivially complete and no parameter semantics are needed. The description instead explains what the tool returns, which is the only meaningful semantic context an agent needs here.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Discover all interactive elements') with a clear resource ('the current page') and enumerates the element types covered (inputs, buttons, selects, checkboxes, textareas, links). It differentiates this tool from siblings like get_page_source or find_elements by emphasizing interaction elements and their best selectors and labels.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says 'Use this before writing locators,' giving a clear, actionable trigger for when to invoke the tool. It does not name sibling alternatives or state when not to use it, but the context is sufficient for an agent to select it for page element discovery.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden, and it does disclose useful behavior: the tool is optional, Chrome auto-starts by default, and this tool exists for customization. However, it does not state what happens if a browser session is already open, such as whether the existing session is reused, replaced, or left untouched. That gap leaves an important behavioral trait undisclosed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences deliver all essential information without waste. The optionality is stated up front, followed by the specific customization use case, making the purpose immediately clear.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a low-complexity tool with zero required parameters, defaults, and no output schema, the description covers purpose, optionality, and parameter intent well. The main missing piece is the effect on an already-running browser session, but overall the agent has enough context to invoke the tool correctly in common scenarios.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is only 33%, but the description compensates by mapping each customization to the relevant parameter: 'choose Firefox' maps to browser, 'enable headless mode' maps to headless, and 'set a custom window size' maps to window_size. The schema also provides defaults and an enum for browser, so the agent has enough semantic grounding for all three parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a clear verb and resource: 'Start a browser session.' It then explains the tool's specific role by noting it is optional and used to select Firefox, headless mode, or a custom window size, which differentiates it from auto-start behavior and other browser tools like close_browser.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines5/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly says when to use the tool: 'any tool will auto-start Chrome if no browser is open,' so the agent knows this call is only needed for specific customizations. It lists the exact cases where start_browser is appropriate: choosing Firefox, enabling headless mode, or setting a custom window size. This is clear when-to-use guidance with implied 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.
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the behavioral burden, and it does: it explicitly discloses the destructive scope ('all active rules') and the provenance ('injected by mock_response'). It does not discuss return values or persistence, but the most important behavioral risk—removing everything with no filtering—is clearly stated.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, tightly worded sentence states the action, the target, and the scope without any filler. The key phrase 'all active' is front-loaded in the second word.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a parameterless tool with no output schema and no annotations, the description is functionally complete: it says what is removed, how many, and where they came from. Nothing an agent needs to invoke or reason about this tool is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and schema coverage is 100%, so there is no missing parameter documentation. The description reinforces the no-filter behavior by saying 'all', which adds value beyond the empty schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Remove'), names the exact resource ('all active mock response rules'), and references the injection tool ('mock_response'). This clearly differentiates it from sibling cleanup tools like clear_healed_locators and clear_session_log.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies that this tool is the counterpart to mock_response: it undoes what mock_response creates. It does not explicitly state 'use this after tests' or list exclusions, but the pairing with mock_response provides clear context and there are no competing tools for this exact purpose.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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