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

With no annotations provided, the description carries the full burden and does a good job: it discloses read-only behavior, the max_steps cap, and the return contents (session_id, visible page evidence, recent actions). It also warns against personal/financial data entry. It does not mention side effects like server-side state, cookies, or rate limits, but it covers the most critical safety and operational traits.

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

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

The description is two short paragraphs with no filler. The core purpose and primary constraint are front-loaded, and every sentence provides actionable information: what it does, when to use, how executions are bounded, what is returned, and what to avoid.

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

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

Given three parameters, no annotations, and no output schema, the description covers the essential invocation context: URL, goal, max_steps, return values, and usage boundaries. It lacks a precise definition of 'visible page evidence' or 'advance,' and does not explain how to handle already-open sessions, but the provided information is sufficient for a competent agent to invoke the tool correctly in most cases.

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

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

With 0% schema description coverage, the description must compensate. It adds meaningful context for max_steps by giving a range (1–30) and explaining its role, and it implies goal is a browsing objective like 'finding, filtering, or opening products.' However, url is not explicitly described beyond the phrase 'public website,' and the two required parameters are not fully disambiguated, so the compensation is partial.

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

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

The description states a specific verb and resource ('Start a new browser session') plus the goal ('advance a read-only browsing goal'). It clearly differentiates itself from siblings like jev_status and jev_stop by emphasizing session creation and read-only browsing, and from jev_extract_products by focusing on browsing rather than extraction.

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

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

The description gives explicit use cases ('finding, filtering, or opening products') and strong exclusions ('Do not use it for login, checkout, payment...'), which is more than a minimal viable. However, it does not name any alternative sibling tools or specify when to prefer them, so it stops short of the full when/when-not/alternatives guidance.

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

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

With no annotations, the description takes on full responsibility for disclosing side effects and limitations. It states it's read-only, best-effort, does not scroll/click/infer, and warns to verify important price/stock data. This is robust behavioral transparency for a DOM extraction tool.

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

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

The description is two sentences in the first paragraph plus three clauses in the second, front-loaded with the core action and followed by precondition and caveats. No filler; every clause contributes.

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

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

For a simple one-parameter tool with no output schema, the description covers what is extracted, when to call it, and its limitations. It stops short of describing the exact return structure or behavior when no cards are visible, but the listed fields and caveats make it reasonably complete.

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

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

The input schema has one required string parameter (session_id) and schema description coverage is 0%. The description never mentions session_id, its format, or its purpose, so it adds no meaning beyond the field name. For a tool with low schema coverage, this is a clear gap.

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

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

The description names a specific verb ('Extract'), a specific resource ('product name, price, rating, details, and link from currently visible product cards'), and scopes it to visible product cards, which separates it from the sibling tools (browse/status/stop). It is clearly not a navigation or status tool.

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

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

It explicitly tells the agent to use this after jev_browse reaches a results or product page, and clarifies that it is best-effort read-only and does not scroll, click, or infer. This gives a clear precondition and implies when it is not suitable (when interaction or scrolling is needed), though it doesn't name an alternative tool explicitly.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly states the tool does not load a page, click, scroll, or generate model requests, effectively declaring its read-only and non-interactive nature. It also notes it inspects a 'live' session, implying current state. While it doesn't cover error handling or output structure, the key behavioral traits are transparent.

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

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

The description is three sentences with no filler. The first sentence states the core function, the second provides usage context, and the third clarifies exclusions. Every sentence earns its place and the most important information is front-loaded.

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

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

For a simple one-parameter tool with no output schema, the description is nearly complete. It tells the agent what the tool does, when to use it, what it does not do, and what information can be reasoned about (URL, text, controls, recent actions). The only minor gap is the lack of explicit output format or structure, but the absence of an output schema lowers that expectation.

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

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

The schema provides zero description coverage for session_id, so the description must compensate. It does by referring to a 'live Jev browser session' and instructing to 'Use it after jev_browse,' which implies session_id is the identifier returned by that preceding call. This contextualizes the parameter even though the description does not explicitly define its format or origin.

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

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

The description opens with a specific verb and resource ('Inspect a live Jev browser session') and immediately distinguishes it from action-taking tools by adding 'without taking another browser action.' It also explicitly names jev_browse as the preceding tool, making it clear this is a passive observation tool, not an action tool. This is unambiguous and differentiates from siblings.

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

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

The description gives a clear 'when to use' instruction: 'Use it after jev_browse to reason from the current URL, visible text, supported controls, and recent actions.' It also provides 'when not' by stating it does not load, click, scroll, or generate model requests. However, it does not explicitly name alternatives like jev_stop or jev_extract_products, so it falls just 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.

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 reveals that the session_id becomes invalid immediately and that the operation is scoped to the Jev-owned target, which is valuable mutating-effect context. It could go further by noting what happens to all tabs within that target, but the phrase 'close one Jev-owned Chrome target' strongly implies that scope.

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

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

The description is two tight sentences: the first states the core action, the second gives usage context and a key side-effect guarantee. There is no fluff, and the most important information is front-loaded.

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

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

This is a simple single-parameter cleanup tool with no output schema and no annotations. The description covers what the tool does, when to call it, and the most important behavioral consequence. The only notable gap is that it assumes the agent already knows where session_id comes from, but the sibling tools and parameter name make that reasonably inferable.

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

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

Schema description coverage is 0%, and the description provides little meaning for session_id beyond 'becomes invalid immediately.' It does not explain that the session_id must correspond to a previously opened Jev-owned target, how to obtain it, or what formats or constraints apply. The name is self-explanatory, but the description adds almost no parameter guidance.

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

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

The description uses a specific verb ('Close'), names the resource ('one Jev-owned Chrome target'), and states the secondary action ('remove its session'). This clearly distinguishes it from sibling tools like jev_browse, jev_status, and jev_extract_products, which cover navigation, status checks, and extraction rather than cleanup.

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

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

The description explicitly states when to call the tool: 'when product research is complete or after an unrecoverable block.' It also clarifies a non-effect ('never affects tabs outside the Jev-owned browser target'), which helps an agent reason about side effectsz. However, it does not explicitly name alternatives or state when not to call 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.