Server Quality Checklist

Tool Scores

• get_intercepted_trafficA
  3.7/5.0
  Behavior1/5

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

  The description states the tool 'automatically consumes and clears the atomic memory queue,' which is a destructive side effect. This directly contradicts the annotations declaring readOnlyHint=true and destructiveHint=false. The description reveals a behavior that the annotations claim does not exist, creating a serious inconsistency for the agent.

  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 sentences: it front-loads the step context, states the primary action, and then discloses the automatic queue clearing behavior. Every sentence adds value with no redundancy or fluff.

  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 simplicity (one parameter, no output schema), the description provides sufficient context: what data is retrieved, where it comes from, and the queue-clearing side effect with its rationale (prevent overflow). It is complete for an agent to understand the tool's role and 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?

  The schema description covers 100% of the single parameter 'limit' with a clear explanation ('Number of newest records to retrieve, prevents context explosion, retrieves all if not provided'). The description does not add any extra parameter guidance, 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 clearly states the tool's action: 'Retrieves the merged high-fidelity JSON log datasets processed by the data pipeline.' It also labels it as 'Step 2: Data Observation,' which distinguishes it from sibling tools like init_ruishu_hook and execute_page_action by positioning it as the data retrieval step in a workflow.

  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 'Step 2: Data Observation' provides clear sequential context, implying this tool is used after initialization and before/after executing actions. However, it does not explicitly state when not to use it or name alternative tools, so it falls short of a perfect 5.

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

• init_ruishu_hookA
  3.8/5.0
  Behavior4/5

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

  The description adds behavioral context by explaining that the tool decouples caching and ServiceWorker proxy layers, which goes beyond the annotations' readOnly/destructive hints. It also mentions 'pure telemetry' implying non-intrusiveness, though it does not disclose potential side effects like interference with the page or reversibility.

  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 two sentences, front-loaded with 'Step 1: Pipeline Initialization', and contains no filler. However, some jargon like 'Ruishu Hook' and 'pure telemetry' may be opaque, but overall it is efficient.

  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 an init tool with no output schema, it covers the core behavior but lacks setup prerequisites (e.g., Chrome debug port must be accessible) and a clear indication of what signals successful initialization. It also doesn't explain how the parameters tie into the described binding/decoupling.

  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 are described in the schema with complete coverage, and the description does not add any additional meaning or relationships between parameters and the tool's behavior. Since schema coverage is 100%, 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 clearly identifies the tool as a pipeline initialization step that binds a system-level probe, distinguishing it from siblings like get_intercepted_traffic and execute_page_action. The verb 'binds' and resource 'probe' convey a specific action.

  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 'Step 1: Pipeline Initialization' implies this should be used before other steps, but it does not explicitly name alternatives or state when not to use it. Sibling tool names suggest a workflow but the description does not connect them.

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

• execute_page_actionA
  4.2/5.0
  Behavior3/5

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

  Annotations already signal destructive potential and non-read-only behavior, and the description adds context that it simulates user actions to trigger requests. The description does not contradict annotations, but it does not go beyond them to explain risks or side effects of executing arbitrary JS.

  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 sentence with clear structure, front-loaded with the key verb, and includes examples without redundant filler.

  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 single-parameter tool with annotations and no output schema, the description covers the what, the examples, and the purpose. It could mention return values or error behavior, but that is not required given the absence of an 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 schema describes js_script as 'JavaScript code to execute in the page', and the description enriches this with examples like simulate click/scroll/input, giving the agent concrete ideas of valid scripts. Since schema coverage is 100%, the baseline is met, and the additional examples justify a higher score.

  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 ('executes') and identifies the resource ('JS in the page'), with concrete examples (click/scroll/input) and the intent to trigger requests. This clearly distinguishes it from sibling tools like init_ruishu_hook and get_intercepted_traffic.

  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 frames the tool as an 'Auxiliary action' for triggering requests, which gives clear context on when to use it. However, it does not name alternatives or specify when not to use it, so it stops short of full exclusion guidance.

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