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

No annotations are supplied, so the description carries the full behavioral burden. It hints at persistence via 'for future use' but never says where the cached content goes, whether it survives the session, how it is later retrieved, or whether it overwrites prior cache entries.

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 functional sentence is short and front-loaded after the bracketed environment note. The bracket is shared boilerplate rather than this tool's content, but it does not obscure the action.

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?

With no annotations and no output schema, the description should explain the caching lifecycle but stops at 'for future use'. For a low-risk utility that is minimally viable, though an agent still cannot tell how cached content is consumed downstream.

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

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

Schema description coverage is 100%, so both parameters (intent, content) are already documented; the baseline is 3. The phrase 'what you have found so far from the current page' adds modest context for what 'content' should hold, but no format or size expectations.

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 object — caching content found on the current page for later use — which is clear enough to act on. It does not, however, distinguish this tool from nearby siblings like read_page or run_recipe, so the agent must infer the boundary itself.

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 only guidance given is the shared bracketed boilerplate ('use only when the task requires acting on a real website'), which applies to the whole browser toolset, not to caching. There is no statement of when to cache versus when to read, act, or finish, and no prerequisites or exclusions.

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

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

No annotations are provided, so the description carries the full behavioral burden. It discloses the execution environment (real Chrome via extension, user's browser) which is useful, but says nothing about what clicking causes — navigation, page waits, permissions, or whether the action is reversible.

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

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

Two terse components: a bracketed environment/usage caveat followed by the action statement. It is front-loaded and wastes no words, though the bracketed note is somewhat dense compared to the bare action phrase.

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 3-parameter mutation tool with no annotations and no output schema, the description covers the environment and a usage boundary but leaves behavioral effects and expected outcomes unstated. It is minimally adequate rather than complete.

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

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

Schema description coverage is 100% and all three parameters are documented in the schema, including the xpath fallback rationale and intent. The description adds no parameter detail beyond the index name already in the schema, so baseline 3 applies.

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 (click) and resource (element), and the bracketed preamble identifies the environment as a real Chrome browser via the OctoLimb extension. It distinguishes the tool from recipe-based siblings by contrast, though it does not name a specific alternative like run_recipe.

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?

"use only when the task requires acting on a real website" gives an explicit when-to-use constraint that implicitly steers the agent away from the recipe tools. It stops short of naming the alternative or stating prerequisites, so it's clear but not exhaustive.

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

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

No annotations are provided, so the description carries the full burden. It does disclose a meaningful behavioral trait the schema cannot: that this drives the user's actual Chrome browser via an extension, implying real, externally visible side effects. It omits, though, whether closing is reversible, what happens to page state, or what occurs with an invalid tab id.

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

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

Two short clauses, front-loaded with the environmental context and then the action. Every element earns its place, though the bracketed environment note is likely repeated boilerplate across sibling tools rather than specific to this action.

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 two-parameter, no-output-schema tool the description is adequate, but given zero annotation coverage a mutation-style action like closing a tab should say more about permanence and side effects than it does.

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

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

Schema description coverage is 100%, so both parameters (intent, tab_id) are already documented structurally. The description only echoes 'tab id' without adding format, range, or sourcing detail, so the baseline 3 applies.

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?

States a specific verb+resource ('Close tab') and identifies the key selector ('by tab id'), which an agent can trivially distinguish from siblings like open_tab and switch_tab. It stops short of differentiating itself explicitly, but the intent is unambiguous.

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

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

The bracketed prefix gives a real when-to-use constraint ('use only when the task requires acting on a real website'), which is genuine scoping guidance. However, it says nothing about when to close versus switch away, nor any prerequisites such as the tab existing or being non-active.

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 and mostly discharges it: it discloses that actions are silently recorded but not persisted until done is called, that success:true gates the auto-save, and that a recipe is created from `text`. It does not describe the response or what is returned on failure, leaving a modest gap.

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 bracketed browser-scope preamble is front-loaded and the core instruction ('Always call this once you're finished…') follows immediately. The closing sentence about silent recording is dense but earns its place by explaining the persistence model; overall slightly long but without filler.

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 two-parameter tool with no annotations and no output schema, the description covers the essential behavior — completion signaling, auto-save trigger, recipe derivation from `text`. The main omission is any statement of what a caller receives back, but with no output schema the agent mainly needs invocation guidance, which is present.

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 coverage is 0%, so the description must compensate; it explains that `text` becomes the recipe's replay instruction and that `success` gating determines whether the sequence is persisted. This meaningfully clarifies both parameters, though it does not state the expected format or length of `text`.

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?

States a specific verb and resource — completing the browser task and signaling the end of it — and the bracketed preamble scopes it to the real-browser workflow. An agent can distinguish it from action siblings like click_element or go_to_url, though it never explicitly names which sibling would be used instead for other purposes.

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?

Explicitly says to always call it once finished with a browser task, succeeded or not, and explains that it is the only trigger for auto-saving a recipe. It also ties itself to find_recipe as the replay alternative, giving the agent a clear when-to-use and what-competing-tool-to-use story.

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

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

No annotations are provided, so the description carries the burden. It usefully discloses the execution realm (page context, not an isolated sandbox), the real-browser/extension dependency, and that the last expression value is returned. It omits any warning that this is arbitrary code execution capable of mutating or destroying page state, and gives no permissions, timing, or error behavior.

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

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

Compact and front-loaded: the bracketed environment/scope note comes first, then the action sentence. The bracket is slightly dense but every element (extension, real browser, page context, return) earns its place.

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?

With one required parameter, full schema coverage, no output schema, and no annotations, the description covers context, execution realm, and return semantics adequately. A note on mutation risk or limits would round it out, but nothing needed to invoke it correctly is missing.

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

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

Schema description coverage is 100% and the single parameter 'code' is fully documented in the schema, including the REPL-style last-expression return convention. The description adds no syntax, size, or format guidance beyond that, so the baseline 3 applies.

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?

States a specific verb (Execute) and resource (arbitrary JavaScript) with the exact execution context (this task's tab / page context) and return behavior. It also implicitly separates itself from the recipe and page-reading siblings by being the raw code-execution path.

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?

Gives a clear when-to-use gate: 'use only when the task requires acting on a real website,' plus the qualifier that it drives the user's real Chrome via the OctoLimb extension. It does not name the concrete alternative (e.g. run_recipe) for when a real browser is not required, so it stops short of full routing 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 carries the full burden and does so: it states the environment (real Chrome via OctoLimb extension), what is returned ('instruction text plus its fingerprint and success/failure counts - no steps yet'), and that matching is fuzzy so the agent must judge similarity. This is richer behavioral context than most definitions provide.

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 browser-requirement caveat and the when-to-use instruction are front-loaded, which is good structure. It is a dense five-sentence block; the parenthetical example ('post a tweet' vs 'tweet something') earns its place, but the closing sentence partially restates the opening instruction.

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?

There is no output schema, so the description must explain the return shape, and it does (per-recipe instructions, fingerprint, success/failure counts, no steps yet). Combined with the routing to run_recipe, an agent has everything needed to call it correctly.

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?

Only one parameter, documented at 100% schema coverage with its own example ('x.com'), so the schema already does the work. The description adds only the implicit notion that recipes are scoped per-domain; no additional syntax or format meaning is supplied, so the baseline 3 applies.

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?

It names a specific verb+resource ('list every previously saved step-by-step trajectory for this domain') and clearly distinguishes itself from the sibling run_recipe, which is where matches get replayed. An agent can tell this apart from read_page or search_google without opening any schema.

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?

Explicit when-to-use ('always try this first for any task that sounds like something you may have already done'), what to do with results ('read the instructions like retrieved documents and judge for yourself'), when to ignore ('ignore recipes that don't actually match'), and the named alternative ('pass its fingerprint straight into run_recipe').

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

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

No annotations are provided, so the description carries the full behavioral burden. 'Get all options' implies a read, but there is no statement of side effects, whether the element must be visible/expanded, or what happens on an invalid index. For a zero-annotation tool this is thin.

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?

One compact sentence after the shared browser-context prefix, with the action front-loaded. The prefix is boilerplate but justified for routing decisions among browser-vs-other tools.

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?

With no annotations and no output schema, the description should at least hint at the return shape (a list of option labels/values) and indexing semantics, neither of which appears. It is minimally adequate for a simple read tool but leaves real gaps.

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

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

Schema description coverage is 100% ('index of the dropdown element', 'Purpose of this action'), so the schema already documents both parameters. The description adds no syntax, indexing base, or format detail beyond that, making 3 the correct baseline.

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?

States a specific verb (get all options) and resource (native dropdown), which clearly separates it from the write-side sibling select_dropdown_option. It stops short of naming that sibling, so differentiation is implied by verb rather than explicit.

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 bracketed note 'use only when the task requires acting on a real website' gives a when-to-use condition, but it is generic boilerplate shared across this whole tool family rather than guidance specific to dropdown inspection. Nothing says whether the dropdown must be opened first or how it relates to select_dropdown_option.

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

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

No annotations are provided, so the description carries the burden. It usefully discloses the execution environment (real Chrome via OctoLimb extension), which matters for an agent reasoning about side effects. It says nothing about what happens if there is no history to go back to, or whether page state is lost.

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?

Very short and front-loaded: the environment caveat precedes the action. Every clause earns its place, though the bracketed preamble is heavier than the one-line action it describes.

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, no-argument, no-output navigation tool with a fully documented schema, the description covers the essentials — environment and action. Only the history-exhausted/failure behavior and sibling disambiguation are missing.

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

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

Schema description coverage is 100% and the single 'intent' parameter is already documented in the schema, so the baseline of 3 applies. The description adds no extra meaning about what intent should contain for this action.

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?

States a specific verb+resource: 'Go back to the previous page.' It is immediately understandable on its own. However, it does not differentiate itself from the sibling 'previous_page' (or 'next_page'), leaving genuine ambiguity about which navigation tool to pick.

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 bracketed prefix gives a real constraint — 'use only when the task requires acting on a real website' — which is useful scoping. But there is no guidance on when to use this versus 'previous_page' vs history-independent alternatives, so the routing decision is left to inference.

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 and does unusually well: it explains tab lifecycle (new tab if none active, otherwise the task's tab), guarantees it never touches the user's focused tab, and notes that later actions keep targeting the same tab regardless of user focus changes. It still omits error behavior, auth expectations, and return values.

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?

Well front-loaded: the scope caveat comes first, then the core action, then the behavioral detail. Slightly long in the trailing tab-targeting clause, but every sentence adds actionable information.

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

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

For a navigation tool with no output schema and no annotations, the description covers the essential behavioral contract (which tab is targeted and how that persists). Only error/return semantics are absent, which is minor for this tool type.

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 coverage is 50%: 'intent' is documented in the schema but 'url' is not. The description's 'Navigate to URL' only marginally clarifies the url parameter, adding no format or resolution details beyond the parameter name. Baseline 3 is appropriate for this partial coverage.

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

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

States a specific verb (navigate) and resource (URL), and additionally scopes it to the real Chrome browser via the OctoLimb extension, distinguishing it from hypothetical in-app navigation. An agent can tell what it does without opening the schema.

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 bracketed clause 'use only when the task requires acting on a real website' gives a clear positive/negative usage condition. It does not name specific alternatives among siblings like open_tab or search_google, so routing between those still requires inference.

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

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

No annotations are provided, so the description must carry the full behavioral burden. It says the tool drives the user's browser and inputs text, but does not explain whether existing text is replaced, whether events are triggered, whether the element must already be focused, or what errors can occur. Only minimal behavioral context is conveyed.

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: a bracketed environment/usage note followed by a precise purpose statement. It is front-loaded, compact, and contains no redundant or wasted text.

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?

The description covers purpose and usage context, and the schema fully covers parameters. However, with no annotations and no output schema, it omits important behavioral details for a browser input action, such as replacement behavior, event triggering, and failure modes.

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

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

Schema description coverage is 100%, so the schema already documents all four parameters, including the optional xpath fallback and the intent field. The description adds no additional meaning about parameters. This meets the baseline for a fully described schema.

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

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

The description states a specific verb and resource: 'Input text into an interactive input element.' It also clarifies the execution environment as a real Chrome browser via the OctoLimb extension. It does not explicitly distinguish itself from the related sibling send_keys, but the core 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.

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

The bracketed note gives a clear usage condition: 'use only when the task requires acting on a real website.' This tells the agent when this browser-based tool is appropriate. It does not name an alternative tool or elaborate on exclusions, but the context is strong enough for correct selection.

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

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

No annotations are provided, so the description carries the full burden: it discloses the default behavior when index is omitted ('scroll the whole document') but says nothing about what happens at the end of the document, whether the scroll is animated or waits for lazy-loaded content, or whether any permission/auth is required. That is adequate for a low-risk scroll action but leaves real behavioral gaps.

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

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

Two sentences, front-loaded with the core action and the caveat folded in efficiently; nothing is redundant within the body. The bracketed preamble is boilerplate-ish framing rather than tool-specific information, which costs it the top score.

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 two-parameter, no-output-schema, no-annotation tool, the description covers the action, the browser context, and the index default. Nothing critical is missing for correct invocation, though the page-end/termination behavior would be useful given there is no output schema to clarify results.

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

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

Schema description coverage is 100%, so the baseline is 3, but the description goes beyond the schema by explaining the semantics of omitting index ('If no index is specified, scroll the whole document'), which the schema's 'index of the element' does not convey. It adds no guidance on the intent parameter, so it is not a 5.

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?

States a specific verb and resource ('Scroll the document in the window or an element to the next page'), which is distinct from the sibling scrolling tools scroll_to_top, scroll_to_bottom, scroll_to_percent and previous_page. The bracketed preamble further differentiates it from non-browser siblings by declaring it drives a real Chrome browser. It does not, however, explicitly name the sibling it is not (e.g. a one-page-at-a-time vs. arbitrary-offset distinction).

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 preamble gives a clear when-to-use condition: 'use only when the task requires acting on a real website.' That is a genuine scoping rule rather than implied guidance. It stops short of routing within the scroll family (no mention of when previous_page or scroll_to_bottom would be preferable), so it is not a 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?

No annotations are provided, so the description carries the full behavioral burden. It usefully discloses that this drives the user's real Chrome browser via an extension and that the tab becomes the task's active tab going forward — significant side effects — but says nothing about permissions, tab limits, or failure behavior when the extension is unavailable.

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?

A single sentence with the environment caveat bracketed up front and the action plus its persistent effect packed in afterward. No filler text.

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 two-parameter navigation tool with no output schema and no nested objects, the description covers what the agent needs: it acts on a real browser, opens a tab, and makes that tab the task's working tab. The missing piece is differentiation from the many navigation siblings.

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 coverage is 100% with only two parameters ('url' and 'intent'), so the schema already documents both. The description adds no syntax, format, or URL requirements beyond what the schema states; the baseline of 3 applies.

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?

States a specific verb and resource ('Open URL in a new tab') and adds a meaningful side effect: the new tab becomes this task's tab. It does not explicitly distinguish itself from the adjacent sibling go_to_url, which an agent must infer covers in-place navigation rather than a new tab.

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?

Provides clear gating context — 'use only when the task requires acting on a real website' — which tells the agent when not to use it. However it never names the alternative (go_to_url, switch_tab, run_recipe) or contrast conditions, so the routing decision remains partly inferred.

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

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

No annotations are provided, so the description carries the full burden. It discloses the key behavioral context that this drives the user's real Chrome browser via an extension, and that scrolling can target the document or a single element, which is useful. However it says nothing about scroll magnitude (viewport vs. full page), whether it blocks, or any auth/permission requirements.

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

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

Front-loaded guidance in brackets followed by two tight sentences describing the action and default. The preamble is somewhat verbose but earns its place by stating the real-browser constraint; no filler beyond that.

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 no-output, low-risk scroll tool with both parameters documented, the description supplies what an agent needs to invoke it correctly. The only residual gap is the ambiguity of 'previous page' (viewport scroll vs. paginated content), which slightly weakens completeness against the next_page sibling.

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 coverage is 100%, so the baseline would be 3, but the description adds real meaning by explaining the default behavior of the index parameter (whole document when omitted) that the terse schema does not convey. It leaves the 'intent' parameter meaning entirely to the schema, hence not a 5.

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?

States a specific verb and resource ('Scroll the document in the window or an element to the previous page') and scopes the fallback ('if no index is specified, scroll the whole document'). It is distinguishable from siblings like next_page or scroll_to_top by its direction, though it never explicitly contrasts itself with them.

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 bracketed preamble gives a clear use condition: 'use only when the task requires acting on a real website,' which implicitly excludes non-browser or mocked contexts. It provides context for selection but names no specific alternative sibling (e.g., next_page or scroll_to_percent) the agent should pick instead.

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

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

No annotations are provided, so the description carries the full burden and mostly succeeds: it discloses the environment (real Chrome via OctoLimb extension), the default omission of body text, and that indices must be refreshed before acting. It does not cover failure modes such as stale indices or empty/detached tabs, which leaves a small gap for a browser-driving 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 bracketed context note is front-loaded, followed by what is returned, when to call it, and the include_text caveat. Every sentence adds actionable information with no filler.

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?

With no output schema and no annotations, the description must explain return shape and it does (URL, title, indexed elements) as well as the default text behavior. An agent has everything needed to call it correctly and interpret the result.

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 coverage is already 100%, so the baseline is 3, but the description adds intent beyond the schema: include_text should be passed only when page content is genuinely needed, not for interaction. It also reinforces that omitted text is the default, though max_text_length and viewport_expansion are left entirely to the schema.

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

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

States a specific verb and resource ('Read the current page in this task's tab') and enumerates exactly what comes back: URL, title, and an indexed list of interactive elements. This cleanly separates it from siblings like click_element or input_text, which act rather than read.

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?

Gives both when-to-use ('use only when the task requires acting on a real website') and an explicit ordering rule: call this before click_element, input_text, or the dropdown tools to get valid indices. It also names the condition for the text-reading variant versus mere interaction.

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 and meets it: it discloses that steps run exactly as given in order, that it stops at the first error and returns all prior results plus the failing step, and that saving captures every session tool call, not just this call's steps. These are non-obvious behaviors an agent could not infer from 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.

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

Front-loaded with the core action, then the operational caveats in descending importance. It is dense and long, but nearly every clause adds a distinct operational fact; the parenthetical examples are slightly verbose but still load-bearing.

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 nested, no-annotation, no-output-schema tool, the description covers execution order, error semantics, return-on-failure behavior, replay, and save scope. Nothing an agent needs to invoke it correctly is missing.

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 coverage is 100%, so the baseline is 3, but the description adds real meaning beyond the schema: fingerprint replays and auto-updates a success/failure counter, and save_as persists the whole session's calls rather than just steps. The mutual-exclusivity and the need to include a read_page before an index-based step are also clarified.

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?

States a specific verb and resource ('Execute a sequence of OctoLimb tool steps in one call') and immediately scopes it as a batching primitive, distinguishing it from the single-step siblings like click_element and go_to_url. It also carves out its relationship to find_recipe (replay) explicitly.

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?

Gives explicit when-to-use conditions ('batch obvious action chains', 'replay steps returned by find_recipe') and a when-not ('use only when the task requires acting on a real website'). It also states the selection rule between the steps and fingerprint parameters.

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

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

No annotations are provided, so the description carries the full burden. It does disclose meaningful context: this drives a real Chrome browser via the OctoLimb extension and acts on the user's browser. It does not say whether the scroll is instant or animated, whether it waits for load, or what happens if no index is supplied.

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?

One bracketed environment caveat plus one crisp action sentence; front-loaded and free of filler. Slightly longer than strictly necessary because the environment note duplicates context likely available elsewhere.

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 two-optional-parameter scroll tool with no output schema, the description covers the action and environment adequately. It leaves gaps around element targeting (what 'index' refers to), scroll completion behavior, and no guidance on the result, but nothing critical is missing for a low-risk action.

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

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

Schema description coverage is 100%, so both parameters are documented in the schema, and the description adds nothing about index or intent. Baseline 3 applies when the schema does the heavy lifting.

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

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

States a specific verb (scroll) and target (document in window or element) with a clear endpoint (bottom). It differentiates by outcome from scroll_to_top and scroll_to_percent, though it never names them explicitly, so the agent must infer the distinction from the sibling list.

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 bracketed preface tells the agent to use this only when the task needs a real website, which is useful gating. However, it gives no guidance on when to choose this over scroll_to_percent, scroll_to_top, or scroll_to_text, so selection among scroll variants is left implicit.

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. It does disclose meaningful behavioral context: this drives the user's real browser through the OctoLimb extension, and that omitting index scrolls the whole document rather than an element. It does not describe return values, side effects on viewport state, or failure modes.

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?

Front-loaded with the core action, followed by the conditional element-vs-document distinction. The bracketed environment note is boilerplate but earns its place by setting the real-browser context; no wasted sentences.

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 three-parameter, no-output-schema scroll tool with no annotations, the description covers the action, the optional-index behavior, and the operating environment adequately. Only minor gaps (no mention of what is returned or error conditions) remain.

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 coverage is 100%, so the baseline is 3, but the description adds genuinely useful semantics beyond the schema: the conditional behavior when no element index is specified (scroll whole document). The yPercent bounds and meaning are left to the schema, which documents them well.

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?

States a specific verb (scroll) and resource (vertical percentage of document or element), and distinguishes itself from nearby siblings like scroll_to_top, scroll_to_bottom, and scroll_to_text by defining percentage-based scrolling. An agent can select it without opening the schema.

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 bracketed preamble gives a clear usage condition — use only when the task requires acting on a real website via the real Chrome browser. It does not, however, explicitly route between this and sibling scroll tools (e.g., when to prefer scroll_to_percent vs scroll_to_top), leaving that to inference.

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 must carry behavioral disclosure. It usefully states that this drives a real Chrome browser via the OctoLimb extension and should only be used for real website tasks. However, it does not describe what happens when the text is not found, whether scrolling is smooth or instant, or any side effects, leaving some behavioral gaps.

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

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

The description is short and front-loads the environmental constraint before the usage condition. It contains a minor grammatical typo ('dont') but no wasted sentences, and every part contributes useful context.

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 scroll-to-text action with a fully described input schema and no output schema, the description provides adequate completeness: it names the browser environment, the real-website restriction, and the viewport condition. Nothing essential for correct invocation is missing, though failure behavior remains unstated.

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

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

Schema description coverage is 100%, so the schema fully documents all three parameters including nth and intent. The description adds no additional parameter-level meaning beyond what the schema already provides, which sets the baseline at 3.

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

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

The description clearly states a specific action (scroll to text) and its triggering condition (when the target is not visible in the current viewport). It does not explicitly distinguish this tool from sibling scroll tools like scroll_to_percent or scroll_to_top, but the name and description together make the purpose unambiguous.

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

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

It gives a clear when-to-use condition: when the desired element is outside the current viewport. The bracketed context also specifies that it should only be used when acting on a real website via the OctoLimb extension. It lacks explicit when-not or alternative scroll-tool guidance, but the context is sufficient.

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

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

No annotations are provided, so the description must carry the full behavioral burden. It only states the action and mentions the real-browser context; it does not disclose side effects, required permissions, whether scrolling is instant or smooth, or what happens if the page/element is not scrollable. This is a significant gap 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.

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

The description is short: one main sentence with a bracketed context prefix. It is mostly front-loaded, though the context note precedes the actual action, slightly delaying the specific purpose. Every part earns its place, but the ordering could be improved.

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 scroll tool with no output schema and a straightforward two-parameter input, the description covers the basic purpose. However, without annotations, it should disclose more behavioral details (e.g., side effects, return behavior) to fully equip the agent. The real-browser context note is helpful but generic.

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

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

Schema description coverage is 100%, so the baseline is 3. The description adds that the scroll target can be 'the window or an element,' which clarifies the role of the optional index parameter (element selection) beyond the schema's brief 'index of the element.' This is a small addition, but the schema already documents both parameters adequately.

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

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

The description states a specific action: 'Scroll the document in the window or an element to the top.' It clearly covers scrolling to the top and targets both window and element. However, it does not distinguish itself from sibling scroll tools like scroll_to_bottom or scroll_to_percent, leaving the agent to infer based on the name alone.

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 provides a contextual condition: '[Real Chrome browser... use only when the task requires acting on a real website.]' This is useful guidance for when to use real-browser tools generally. But it offers no direction on when to choose this tool over the numerous other scroll variants (scroll_to_percent, scroll_to_bottom, scroll_to_text, etc.).

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

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

With no annotations provided, the description carries the full burden. It usefully discloses tab lifecycle behavior: it opens a task tab or reuses the task's tab and never the user's focused tab. However, it does not describe return behavior, wait conditions, or failure modes.

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 definition is front-loaded and compact, with the core purpose stated before behavioral details. The phrase 'More the single most important items' is awkward and slightly reduces polish, but otherwise the structure is efficient.

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

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

Given no annotations and no output schema, the description does a good job covering scope, browser context, tab handling, and query quality. It leaves some gaps around what the tool returns after the search, but for a browser-action tool in this sibling set, it is largely sufficient.

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 coverage is 50%, so the description must compensate for the required query parameter. It does so by explaining that the query should be human-like, concrete, not vague or overly long, and focused on the single most important item. The optional intent parameter is left to its schema description.

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

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

The description states a specific verb and resource: 'Search the query in Google.' It also scopes the tool to a real Chrome browser via the OctoLimb extension, distinguishing it from generic URL navigation or page-reading 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?

It gives an explicit condition: 'use only when the task requires acting on a real website.' That is clear usage guidance, but it does not name or compare against alternative sibling tools such as go_to_url or run_recipe.

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

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

No annotations are provided, so the description carries the burden. It usefully discloses that this drives the user's actual Chrome browser through the OctoLimb extension (a real side-effecting action), but says nothing about failure modes (option not found), whether the dropdown must be open first, or timing/auto-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.

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

Compact — one bracketed environment note plus one core sentence. Front-loaded with the selection action, with no redundant padding.

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?

Adequate for a simple interactive action with no output schema, but with no annotations and no sibling routing it leaves the agent to infer how to obtain valid option texts and whether the dropdown must be opened beforehand. Complete enough to call, incomplete on the workflow around it.

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

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

Schema description coverage is 100%, so the baseline is 3. The description restates the schema's own semantics (select by option text, target element index) without adding format details, and the optional 'intent' parameter is not mentioned at all.

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?

States a specific verb (select) and resource (dropdown option) plus the selection key (option text, element index). It is clearly distinct from get_dropdown_options and click_element in intent, though it never names those siblings to sharpen the distinction.

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 bracketed clause gives real context on when to use it: only when the task requires acting on a real website via the user's Chrome browser. It does not, however, explain the relationship to sibling get_dropdown_options (e.g., call it first to learn valid option texts), so alternatives are left implicit.

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 behavioral burden. It usefully discloses that this drives a real Chrome browser via the OctoLimb extension and warns about OS-specific shortcut differences, but it omits where the keys land (focused element? page body?), what happens on failure, and any side effects such as page navigation from Enter.

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 purpose and examples are front-loaded and earn their place, but 'This gets used in keyboard press' is filler restating the name, and the closing OS warning is vague rather than actionable. The bracketed preamble is boilerplate shared across a tool family.

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 two-parameter real-browser action tool with no annotations and no output schema, the description covers purpose and key format but leaves target-focus behavior, failure modes, and the intent parameter unexplained. Adequate to call it, thin for calling it correctly.

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 coverage is 100%, so baseline is 3, but the description goes beyond the terse 'keys to send' schema text by giving concrete syntax examples ('Control+o', 'Control+Shift+T') that define the expected key-string format. The second parameter (intent) is never mentioned, which keeps this from a 5.

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?

States a specific verb+resource ('send strings of special keys') and enumerates examples (Backspace, Insert, Control+o), so the agent knows this is keyboard-event injection rather than text entry. It only implicitly distinguishes itself from the sibling input_text, which types characters into fields.

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 bracketed preamble gives a real routing condition ('use only when the task requires acting on a real website'), which is genuinely useful for choosing this over a non-browser path. However, it never says when to prefer send_keys over input_text or execute_js for keyboard work, leaving the sibling choice to inference.

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 burden and does disclose a meaningful stateful side effect: the switched-to tab becomes the tab this task uses from now on. It does not mention failure behavior for an invalid tab_id or any permission requirements, leaving a small gap.

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 bracketed environment/safety preamble is front-loaded, followed by a single tight sentence carrying the operation and its persistent effect. No filler and nothing redundant.

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-required-parameter tool with no output schema or annotations, the description covers environment constraint, action, and the persistent tab-selection effect. Only error/edge-case behavior is unstated, which is a minor omission.

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

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

Schema description coverage is 100%, so both tab_id and intent are already documented in the schema; the description only restates that switching is by tab id. Baseline 3 applies since the schema does the heavy lifting and the description adds no format or range detail.

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?

States a specific verb (switch) plus resource (tab) and adds the crucial scope detail that the tab becomes the task's active tab going forward. This distinguishes it cleanly from siblings like open_tab, close_tab, and go_to_url without needing the schema.

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?

Gives a clear condition of use ('use only when the task requires acting on a real website') and a concrete trigger example ('after a link opened a new tab'). It does not explicitly name the alternative tools (open_tab/close_tab) or state when not to use it, so it stops short of a 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?

No annotations exist, so the description must carry behavioral disclosure. It does disclose that this drives the user's real browser via the OctoLimb extension, which is meaningful context, but says nothing about blocking vs non-blocking behavior, side effects, or what a call returns.

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?

Short and mostly front-loaded, with the critical 'do NOT use' warning present. The bracketed browser preamble comes first, which delays the actual action, and the 'default 3' claim duplicates the schema.

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 zero-required-parameter wait tool with full schema coverage and no output schema, the description supplies what is needed: what it does, when it is permitted, and the environment it operates in. Only the blocking/return behavior is left unspecified.

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

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

Schema description coverage is 100%, so both 'intent' and 'seconds' are already documented. The description's 'default 3' simply restates the schema default and adds no new syntax or constraint information.

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

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

States a specific action ('Wait for x seconds, default 3') and frames it in the real-Chrome/OctoLimb browser context. No sibling tool in the list performs waiting, so the operation is unambiguously distinguishable.

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?

Gives an explicit exclusion ('do NOT use this action unless user asks to wait explicitly') plus a context condition ('use only when the task requires acting on a real website'). That is precisely the when/when-not guidance agents need, and it is rare to see it stated so directly.

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