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Server Quality Checklist

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  • Latest release: v0.5.4

  • Disambiguation5/5

    Each tool targets a distinct browser action: reading page, finding elements, uploading files, network requests, resizing window, and GIF recording start/stop. No overlap.

    Naming Consistency5/5

    All tools follow a consistent 'browser_' prefix with verb_noun pattern using snake_case, e.g., browser_read_page, browser_upload_file. Minor deviation with 'browser_find' but still fits.

    Tool Count5/5

    Seven tools is a reasonable number for a browser automation server, covering core read, find, upload, network, resize, and GIF recording without being overwhelming.

    Completeness2/5

    Missing essential browser interactions like navigation, clicking, and typing. The descriptions reference browser_computer and browser_form_input for those, but they are not included in this tool set, leaving significant gaps.

  • Average 4.3/5 across 7 of 7 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • 0 of 1 community issues answered or closed in the last 6 months
    • 17 commits in the last 12 weeks
    • Last stable release on
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • 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.

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      ]
    }

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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

  • Behavior3/5

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

    With no annotations, the description bears full burden. It declares read-only behavior, return of refs, and empty result handling. It does not disclose performance characteristics, rate limits, or potential side effects beyond what is stated. Adequate but not comprehensive.

    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, front-loaded with the main purpose, and each sentence adds essential information without fluff. Very concise and well-structured.

    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 (2 params, no output schema), the description fully explains the purpose, usage context, and expected outcomes (refs, empty results). It also links to sibling tools. Slightly lacking in behavioral depth, but sufficient for the 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?

    Schema coverage is 100% with descriptions for both parameters. The description adds context about query being for visible text, accessible name, or role, and tabId coming from browser_tabs_list or browser_tab_create. This adds marginal value over the schema alone.

    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 tool finds elements by visible text, accessible name, or role, and returns refs for use with browser_computer and browser_form_input. It distinguishes from siblings like browser_read_page and browser_page_text which are broader reads.

    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 strong usage guidance: it is read-only, cheaper than reading the whole accessibility tree when you know what you are looking for, and empty results indicate no match (not an error). However, it does not explicitly mention when not to use it or list specific alternatives.

    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?

    No annotations are provided, so the description carries full burden. It explicitly states the action is mutating and user-visible (resizes the real window) and recommends restoration. This is sufficient disclosure beyond the basic mutation hint.

    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 very concise: two sentences front-load the purpose and provide usage guidance without any redundant or filler content. Every sentence adds value.

    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 low complexity (3 simple parameters, no output schema), the description covers purpose, usage, and behavioral traits completely. An agent has enough information to select and invoke the tool correctly.

    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 100%, so the description adds minimal extra meaning beyond parameter names and types. It notes that tabId should come from browser_tabs_list or browser_tab_create, which provides usage context but doesn't significantly enhance understanding of the 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 tool resizes the browser window to given CSS pixel dimensions. It distinguishes from sibling tools, which handle gifs, page reading, finding, uploading, and network requests, none of which involve window resizing.

    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 advises using the tool for reproducing responsive layouts or framing a recording, and suggests restoring the original size afterward. While it does not explicitly list when not to use, the use cases are well-defined and the alternatives are clear from the sibling tools 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?

    Discloses mutating nature (creates/overwrites file) and error conditions. No annotations provided, so description carries full burden; covers key 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?

    Two sentences with no waste. Action, result, and error conditions all 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?

    Sufficient for a simple tool with 2 params. Covers side effects and errors. No output schema, but success return is implicit; minor 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?

    Adds 'overwritten if it exists' for path parameter beyond schema description. Schema already covers 100% with good descriptions; tool description adds 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?

    Clearly states it stops a recording started by browser_gif_start and writes an animated GIF. Differentiates from sibling browser_gif_start by being its complement.

    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?

    Mentions errors if no recording or no frames, implying when to use. Lacks explicit when-not-to-use but context is clear.

    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?

    Discloses key behaviors: read-only by default, clear empties buffer, capture timing limitation. No annotations present, so description carries full behavioral burden and does so adequately.

    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?

    Front-loaded with core purpose, then conditions. Three concise sentences, no redundant 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?

    Covers parameters, behavior, and constraints. No output schema, but describes output format. Missing details like auth or error handling, but acceptable for a list 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?

    Schema coverage is 100%, but description adds context beyond schema: buffer capacity (newest 200), capture timing clarification, and regex filtering purpose. Adds meaningful value.

    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?

    Clearly states it lists a tab's network requests with method, URL, status, and a limit of 200. Distinguishes from siblings like browser_page_text or browser_tabs_list which serve different purposes.

    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?

    Provides usage context: captured from first CDP touch, requires reload for full traffic. Implicitly advises when to use (after attaching) but lacks explicit alternatives or when-not-to-use.

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

  • Behavior4/5

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

    No annotations provided, so description carries full burden. Discloses read-only nature, staleness of refs, and the effect of the filter parameter. Lacks details on performance or rate limits.

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

    Conciseness5/5

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

    Very concise, two sentences with critical information front-loaded. No wasted words.

    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 2 parameters and no output schema, the description adequately covers core semantics and usage. Could mention the tree structure returned but otherwise 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?

    Schema coverage is 100%, so baseline is 3. Description adds value by explaining the filter parameter's interactive mode returns a compact map of clickable/editable elements, beyond the schema's enum description.

    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?

    Clearly states it provides the accessibility tree with ref IDs per element. Distinguishes from sibling tools (browser_computer, browser_form_input) by focusing on reading the page structure.

    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?

    Explicitly mentions how refs are used with sibling tools and that refs go stale after navigation or heavy DOM changes, requiring a fresh call. Could add more explicit when-not-to-use scenarios.

    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 full burden. It notes the tool is mutating, triggers a change event, and requires the input to already exist. This is sufficient for basic transparency.

    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, front-loaded with the primary action, and every sentence adds value. No unnecessary words.

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

    Completeness4/5

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

    Given no output schema or annotations, the description covers the essential behavior, parameters, and preconditions. It does not describe return values or failure modes, but the tool is simple enough that this is acceptable.

    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?

    All 3 parameters have schema descriptions (100% coverage). The description adds context beyond schema, e.g., clarifying that files are absolute paths and that the selector targets an input of type file.

    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 clearly states the tool uploads local files into a file input via CSS selector, mimicking user behavior. It uses a specific verb and resource, and uniquely distinguishes from siblings like browser_click or browser_find.

    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?

    Description explains key usage constraints (absolute paths, input must exist, fires change) but does not explicitly state when to use this over alternatives or mention 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.

  • Behavior5/5

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

    With no annotations, the description fully discloses behavioral traits: default interval (800 ms), automatic frame rate halving to fit ~80 frames, single recording per tab restriction, and that saving only occurs on stop. This provides sufficient transparency for an agent to understand side effects and constraints.

    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 extremely concise: two sentences covering purpose, defaults, behavioral tweak, and constraints. Every sentence adds value, and the key information 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 simple tool with 2 parameters and no output schema, the description covers all needed context: what it does, how it behaves (frame rate halving), constraints (single recording per tab, error on double start), and lifecycle dependency on browser_gif_stop. Complete for agent use.

    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 100%—both parameters have descriptions. The description reiterates 'default 800 ms' from the schema and adds context about halving, but does not significantly augment the schema's parameter meanings. 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 clearly states the tool's purpose: 'Start recording the tab into an animated GIF'. It specifies the verb (start recording), resource (tab), and output type (animated GIF). This distinguishes it from sibling tools like browser_gif_stop and browser_tabs_list.

    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 usage constraints: 'One recording per tab at a time; starting twice is an error' and 'Nothing is saved until browser_gif_stop.' It implicitly tells when to use (start a recording) and that the stop tool must be called. Could be more explicit about when to use vs. alternatives, but siblings are distinct.

    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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