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, and it discloses very little: 'automated' hints the audit is non-interactive, but nothing is said about whether a page must already be loaded, execution cost, permission or auth needs, or whether anything is mutated. For an audit tool with zero annotation coverage this is a significant 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?

A single front-loaded sentence with no filler that states the action, standard, and scope up front. Nothing is wasted.

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 and no annotations, so the description should explain the return shape (e.g., violations vs passes, severity, node locations), especially since includePasses and maxViolations only make sense against a known response structure. That critical return-value context is entirely absent.

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 five parameters including defaults and enum values — baseline 3 applies. The description's category list merely echoes the schema's 'categories' enum without adding format or behavior detail beyond it.

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 ('WCAG 2.2 AA / AAA accessibility audit') and enumerates the audited categories (contrast, keyboard, aria, forms, images, structure, target-size). This implicitly distinguishes it from single-purpose siblings like vibeside_inspect_contrast or vibeside_inspect_aria_element, but it never names a sibling or alternative 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?

The word 'comprehensive' vs the granular inspect_* siblings implies this is the full-sweep option, but the description never states when to prefer it over vibeside_get_accessibility_tree, vibeside_inspect_contrast, or vibeside_inspect_aria_element. Usage must be inferred from scope alone.

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, yet it omits all side-effect disclosure. It never warns that clearExisting wipes user data or that submitAfterFill triggers a form submission/navigation, nor does it mention permissions or what the call returns. 'Smart one-click' is marketing, not 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?

A single front-loaded sentence with no filler; the core capability is stated before the supporting mechanisms. Nothing in it is 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?

With 100% schema coverage and no output schema, the description is minimally adequate, but for a mutating tool that can clear fields and auto-submit it should disclose those consequences and roughly what it returns (e.g., filled-field count or mapping). These gaps are meaningful, not cosmetic.

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 all five parameters are already documented in the schema. The description lightly echoes locale ('English/Korean') and custom overrides but adds no syntax, selector-resolution rules, or precedence details beyond what the schema says, 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?

The description names a specific verb and resource ('form autofill') and even sketches the mechanism (locale dictionaries, field heuristics, custom overrides). It is clear what the tool does, but it never contrasts itself with adjacent siblings such as vibeside_type or vibeside_inspect_form_validation, so differentiation is left to inference.

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?

There is no explicit guidance on when to reach for this tool versus typing fields individually with vibeside_type, and no preconditions (form must be loaded, page connected) are stated. Only an implied 'use this to fill a form' reading is available.

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 says what is measured but not whether the operation is read-only/non-destructive, how long it runs, whether it perturbs network state, or what permissions it needs. 'Benchmark' implies measurement, but that is left to inference.

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

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

A single front-loaded sentence with zero filler that names the metric set and scope immediately.

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-optional-parameter measurement tool with no output schema and no annotations, the description explains what is measured but not the return shape or side-effect profile. It is minimally sufficient but leaves the agent guessing about results and safety.

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 (url, iterations with range/default) are fully documented. The description adds only the 'active page' default context and no syntax or semantics beyond the schema, 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 (Benchmark) and precise resources (network latency/RTT, jitter, effective throughput), and scopes it to the active page. It is clearly distinguishable from throughput/throttle siblings like vibeside_throttle_network, though it does not name any sibling 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?

There is no guidance on when to use this versus alternatives such as vibeside_throttle_network or vibeside_list_network_profiles, and no prerequisites or conditions are stated. The only context offered is the implicit 'active page' scope.

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 it does establish that this is a non-mutating inspection of four named facets. However, it never states that the operation is read-only, that checkCdp actively issues an HTTP probe (a side effect on the network), or what permissions/preconditions are needed.

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 front-loaded sentence that enumerates exactly what is reported with no filler, hedging, or restated title. Every clause carries 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 one-parameter, read-only status tool with no output schema, the description usefully summarizes the returned facets (spawner status, PID, CDP reachability, profile dirs). It stops short of describing error conditions or what an unreachable CDP result implies.

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% for the single checkCdp parameter, so the schema already documents type, default, and meaning. The description's mention of 'CDP reachability' loosely maps to that parameter but adds no syntax or behavioral detail beyond the schema, 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?

The description pairs the verb 'Inspect' with a specific resource — Chrome/Edge daemon spawner status, process ID, CDP reachability, and profile directories. It clearly differs from generic status siblings like get_emulation_status or cluster_status by naming the exact subsystem inspected, though it does not explicitly name an alternative 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?

No when-to-use context is given: nothing says to call this before connecting, after spawning, or when debugging a failed browser connection. The diagnostic purpose is implied by 'status' but the agent must infer when this is preferable to siblings such as vibeside_get_emulation_status or vibeside_list_tabs.

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 disclosure burden. It helpfully states the return payload is base64 with dimensions and a timestamp, but omits that the operation is read-only/non-destructive and says nothing about failure cases such as canvas tainting on cross-origin video or a video that has not yet loaded.

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 well-formed sentence that front-loads the action and resource and packs in output format, return encoding, and metadata with zero 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, the description correctly specifies the return content (base64 PNG/JPEG plus dimensions and timestamp), and the required selector is documented in the schema. It is nearly complete, but the absence of any note about capture preconditions or failure modes leaves a small gap for a capture tool with no annotations.

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 'format', 'quality', and 'selector' are already fully documented, including defaults and ranges. The description restates the output formats but adds no semantics beyond what the schema provides, making the baseline 3 appropriate.

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 ('capture'), a precise resource ('current frame of an HTML5 video element'), and the output form (base64 PNG or JPEG). This clearly delimits it from the sibling vibeside_screenshot, which captures the viewport rather than a video element's frame.

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?

Usage is only implied by the phrase 'HTML5 video element' — an agent can infer it applies when a video is present, but the description names no alternatives, no preconditions (video loaded, playing, same-origin), and no when-not-to-use guidance such as preferring vibeside_screenshot for non-video content.

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 not state whether a browser must be connected/spawned first, whether device emulation is restored afterward, that the run produces a structured report, or that saveScreenshotsDir writes files to disk. 'Capture' reads as safe, but the mutation-to-disk and session-prerequisite behaviors are undisclosed.

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 front-loaded sentence with the primary action first and a parenthetical enumerating the device categories. No wasted words, though the two distinct outcomes (audit + overflow detection) are packed into one clause.

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 6-parameter, zero-required tool with no annotations and no output schema, the description omits anything about the returned report structure, prerequisites (connected browser), or interaction with emulation/screenshot tools. It is minimally adequate but leaves real gaps an agent would need filled.

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 each of the 6 parameters is documented in-schema (defaults, enums, examples), so the baseline is 3. The description adds no parameter-level detail (e.g. that devices overrides category, or how screenshots are returned) beyond what the schema already supplies.

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 ('Capture') and resource ('responsive audit across device presets') plus a secondary outcome ('detect horizontal layout overflow'). This clearly separates it from the single-shot vibeside_screenshot and the single-device vibeside_emulate_device, though it never names those siblings 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?

The phrase 'responsive audit across device presets' implies the use case (multi-device visual/overflow checking), but there is no explicit when-to-use, when-not, prerequisite, or named alternative. An agent must infer that this is preferred over looping vibeside_screenshot.

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 usefully discloses that the buffer is in-memory and that clearing spans the active page and observer, which is real behavioral context. However, it does not say whether observation continues after the clear, whether the data is unrecoverable, or whether the observer must be re-armed.

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 front-loaded sentence with no filler. The noun phrase 'DOM mutations, layout shifts, or long tasks telemetry buffer' is slightly stacked and reads awkwardly, but nothing is wasted.

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 one-parameter, no-output-schema utility, the description covers the essentials. It leaves open the post-clear behavior of the observer and gives no routing guidance among the several sibling clear tools, which are the main 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 coverage is 100% with the enum and default fully documented in the schema, so the baseline of 3 applies. The description names three of the four categories but adds no syntax or semantic nuance beyond what the schema already states.

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?

Names a specific verb ('Clear') and resource ('DOM mutations, layout shifts, or long tasks telemetry buffer'), so the agent knows exactly what gets wiped. It is not differentiated from the many sibling 'clear' tools (vibeside_telemetry_clear, vibeside_hmr_clear, vibeside_clear_media_telemetry), so it falls short of a 5.

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?

Usage is only implied: the tool resets a telemetry buffer that siblings like vibeside_observe_dom_mutations and vibeside_observe_layout_shifts populate. There is no statement of when to clear versus when not to, and no comparison to the other telemetry-clearing siblings an agent must choose between.

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 one useful behavioral fact — events are buffered and live in memory — implying the clear is a memory-buffer reset rather than a persistent deletion. It does not say whether telemetry collection continues afterward, whether the clear is reversible, or whether permissions are needed.

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 front-loaded sentence with no filler, correctly sized for a single-parameter clear operation.

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 clear tool with no output schema and full parameter coverage, the essentials are present, but the description omits the relationship to the observation tools (does clearing stop or reset vibeside_observe_media_events?) that an agent would need to sequence these calls 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 description coverage is 100% for the single optional selector parameter, so the schema already documents that omitting it clears everything. The description adds no format, matching, or scope detail beyond what the schema states; 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 ("Clear") and a well-scoped resource ("buffered HTML5 media telemetry events"), which distinguishes it from generic siblings like vibeside_telemetry_clear and vibeside_clear_dom_telemetry. It does not name those siblings explicitly, so an agent must infer the media-vs-DOM-vs-general split from the noun phrase 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?

There is no when-to-use guidance, no prerequisite, and no mention of alternatives such as vibeside_observe_media_events (to observe) or vibeside_telemetry_get (to read before clearing). The only conditional phrasing, "or omit to clear all," describes a parameter default rather than a usage decision.

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 does convey the destructive scope (wiping all rules vs. one), which is the key trait, but omits whether the operation is reversible, requires confirmation, or affects in-flight requests. Adequate but incomplete.

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, tight sentence with the destructive scope front-loaded and no filler. It earns its place, though it is almost too terse for a destructive operation.

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 clear tool with no output schema, this covers the essentials. But with zero annotation coverage on a destructive operation, it should do more to disclose reversibility or side effects to be fully self-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 description coverage is 100% and only one optional parameter exists, so the schema already documents the 'id' semantics, including the omitted-clears-all behavior. The description restates this dual-mode meaning without adding format or validation detail, matching the baseline 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?

States a specific verb ('Clear') and resource ('network mock rules') with two clear modes of operation (clear all vs. delete one by ID). This is unambiguous, though it never names its siblings (vibeside_mock_route, vibeside_list_mock_routes) to help the agent differentiate.

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?

Usage is implied by the dual-mode phrasing ('clear all' vs. 'remove a specific rule by ID'), so an agent can infer intent. However, there is no explicit when-to-use guidance relative to vibeside_mock_route (which creates mocks) or vibeside_list_mock_routes (which enumerates them).

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 not say whether this mutates the live page, requires an active browser connection, what happens when no pseudo-states are forced, or whether the effect is scoped to the session – all material for a state-mutating tool.

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

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

A single well-formed sentence with the subject and both operating modes front-loaded, and no filler. It is terse to the point of omitting useful context, but nothing in it is wasted.

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, no output schema, and a state-resetting behavior, the definition leaves key questions unanswered: prerequisite connection, error behavior, and the relationship to vibeside_emulate_pseudo_state. It describes the action but not enough to invoke it confidently.

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 single parameter has 100% schema description coverage, which already explains the omittable selector and the clears-all fallback, so the baseline is 3. The description's 'specific element selector or across the entire document' restates the schema's semantics without adding format or matching details.

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 (Clear) and resource (forced CSS pseudo-classes) plus its two scopes: a named selector or the entire document. It does not reference its obvious sibling vibeside_emulate_pseudo_state, so an agent gets the purpose but no explicit differentiation.

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 implies the use case (undoing forced pseudo-states) and the two scoping modes, but never says when to reach for this versus vibeside_emulate_pseudo_state, nor whether a prior forced state must exist. Usage is inferable but unstated.

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 implies an active page exists but says nothing about auto-waiting for the element, failure/timeout behavior, or side effects of the click (navigation, form submission, state change).

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 front-loaded sentence with the action first and the selection method second; nothing superfluous. It is short rather than bloated, though brevity here shades into under-specification.

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 an unannotated mutation tool with no output schema and an undocumented timeout parameter, the description is too thin. It omits prerequisites, failure behavior, and what the click returns or triggers.

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%: selector is documented but timeout has only a default and no description. The description does add value by clarifying that text (not just CSS) can select the target, but it says nothing about timeout units or retry semantics.

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 (Click) and resource (element on the active page) with the selection mechanism (CSS selector or text). It does not, however, distinguish itself from siblings like vibeside_type or vibeside_autofill_form, which also act on live elements.

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?

No guidance on when to use this versus alternatives, nor any prerequisites such as needing to be connected to a page or having navigated first. The agent must infer all usage context.

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 disclose the non-obvious edge case: closing the only tab auto-creates a clean tab. It does not cover failure behavior when no tab matches the URL pattern or whether a pattern matching multiple tabs closes all of them.

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 tight sentence front-loads the action and identifier modes, followed by the one edge-case caveat. No wasted wording.

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 3-optional-param tool with no annotations or output schema, the description covers purpose, defaults, and the last-tab edge case. Only error/no-match behavior is left 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 all three parameters are already documented in the schema; the description merely restates index, tabId, and urlPattern. Baseline 3 is appropriate since it adds no syntax or matching semantics beyond 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 precise verb+resource ('Close an open browser tab') and enumerates the three identifier modes. It is clearly distinguishable from tab siblings like list_tabs, switch_tab, and new_tab, though it never names 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 default to the active tab is stated, which implies when each identifier form is used, but there is no explicit when-to-use/when-not guidance or routing to alternatives such as switch_tab.

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, yet it only lists field names. It does not say whether configuration is persistent, applies immediately or on restart, affects already-running workers, or requires the cluster to be stopped.

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 front-loaded sentence with the verb and resource first and zero filler. Nothing is wasted.

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 9-parameter, all-optional mutation tool with no annotations and no output schema, the description is adequate but thin. The schema covers parameter detail well, but the absence of any statement about persistence, side effects, or effect on running workers 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%, so the schema already documents all 9 parameters with defaults and ranges. The description merely repeats six of those names (omitting basePort, taskTimeoutMs, spawnTimeoutMs), adding no semantics beyond the schema. Baseline 3 is appropriate.

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?

Specific verb (Configure) plus resource (worker pool limits) with an enumeration of the key tunables. It distinguishes the tool from siblings like cluster_scale or cluster_status by framing it as pool-limit configuration, though it never explicitly names those alternatives.

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?

There is no when-to-use guidance, no prerequisites, and no routing against the sibling cluster tools (status, scale, dispatch, shutdown). The agent must infer the invocation context entirely.

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 parallelism and the worker-pool execution model, which is useful, but says nothing about partial-failure semantics, result ordering, error propagation, or resource limits — significant gaps for a fan-out dispatch 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?

A single front-loaded sentence naming the operation, the batch nature, the supported actions, and the execution substrate. No filler or redundancy.

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 invocation since the schema is fully documented, but with no annotations and no output schema the description should explain what comes back from a batch (results per task, failure handling) and any operational preconditions. It leaves those for the agent to discover.

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 each task field, plus concurrency and autoScale, is documented in the schema itself. The description adds no parameter-level detail beyond what the schema already provides, 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 (Dispatch) and resource (batch of parallel browser tasks), and enumerates the action types the batch supports. The 'batch/parallel/worker pool' framing distinguishes it from single-task siblings like vibeside_navigate or vibeside_eval, though it never names 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?

No guidance on when to use batch dispatch versus the individual single-task siblings, nor prerequisites such as needing a running cluster or spawned browsers. The only implied usage signal is 'batch of parallel tasks' from the wording itself.

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 present, so the description carries the full behavioral burden. It implies a mutation of the worker pool but says nothing about what happens to in-flight tasks when scaling down, whether scale-down is graceful or destructive, whether it requires elevated permissions, or whether the change is immediate.

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 tight sentence that front-loads the action and the resource with no filler or redundancy.

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 one-parameter mutation tool with no annotations and no output schema, the description covers the action but omits the behavioral consequences of scaling down and what the call reports back. Adequate but with clear gaps given the absence of structured safety hints.

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 targetWorkers documented as the target pool size and bounded 0-32, so the baselined score of 3 applies. The phrase 'target worker count' usefully confirms the parameter is an absolute target rather than a delta, but adds little beyond the schema 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?

The description gives a specific verb ('manually scale ... up or down') and a specific resource ('browser worker pool'), and the target-count framing separates it from siblings like cluster_status or cluster_shutdown. It does not, however, explicitly differentiate itself from cluster_configure, which could plausibly also touch the pool.

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?

There is no guidance on when to use this versus cluster_configure, cluster_status, or cluster_dispatch, nor any prerequisites such as whether a cluster must be running first. The agent is left to infer usage from the name and the surrounding cluster-* family.

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 discloses cluster-wide scope, profile deletion, and a 'zero-zombie guarantee' (no orphaned processes), which is useful. It omits whether the operation is idempotent, what happens to in-flight tasks, permission requirements, or behavior when no cluster is running.

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 front-loaded sentence with no filler; the destructive scope is stated first. 'Zero-zombie guarantee' is slightly marketing-flavored but still conveys a concrete behavioral promise.

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 destructive, no-annotation, no-output-schema teardown tool, the description covers scope and cleanup but leaves gaps: irreversibility, effect on running tasks, idempotency, and failure states. Adequate but not complete for a shutdown operation.

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 'force' and 'cleanProfiles' are fully documented in the schema. The description adds no format, default-override, or interaction detail 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?

Names a specific verb (terminate) and a precise resource (all cluster worker browser processes) plus a secondary cleanup action, so it is distinguishable from single-browser siblings like vibeside_stop_browser. It does not explicitly name any sibling, so it stops short of a 5.

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?

There is no stated when-to-use, when-not-to-use, or alternative. An agent cannot tell from the text whether this is preferable to vibeside_stop_browser or scaling the cluster to zero via vibeside_cluster_scale. Usage is only weakly implied by 'all cluster worker'.

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. "Inspect" implies a non-mutating read, and the enumerated fields (worker pool, active/idle counts, queue metrics, configuration) tell the agent what state is exposed, but there is no mention of polling cost, auth requirements, or what happens on an unconfigured/empty cluster.

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 front-loaded sentence with no filler. The enumerated list is dense but each item adds information about the inspected surface rather than restating the tool name.

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?

Complexity is low (no parameters, no nested objects), and with no output schema the description usefully enumerates what the response covers. The only gap is behavioral context around failure or empty-cluster cases, minor for a status probe.

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 declares zero parameters, so there is no parameter semantics to explain; the baseline of 4 applies. The description correctly implies a no-argument call by not referencing any inputs.

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 ("Inspect") and resource ("multi-browser cluster worker pool"), then enumerates what is surfaced: active/idle workers, queue metrics, configuration. It is distinguishable from the cluster siblings (configure/scale/dispatch/shutdown) by its read-only framing, though that contrast is implied by the name rather than stated.

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?

There is no explicit when-to-use statement and no reference to the sibling tools it complements (vibeside_cluster_scale, vibeside_cluster_dispatch, vibeside_cluster_shutdown). An agent can infer this is the diagnostic read, but nothing in the text says when to call it instead of the others.

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 disclosure burden. It says nothing about side effects (e.g., that it may capture a live screenshot when 'current' is omitted), read-only safety, or what the comparison reports, leaving behavior largely opaque.

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 front-loaded sentence with the alias note and the core action, zero filler. Appropriately sized for what it attempts to convey.

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 seven parameters and no output schema, the description should explain what the comparison returns (diff percentage, highlighted image, etc.) but says nothing. For a tool at this complexity level, it is under-specified.

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 all seven parameters are already documented in the schema (baseline, current, fullPage, selector, threshold, saveDiffPath, includeDiffImage). The description adds no parameter-level meaning 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 and resource ('Compare visual diff') and a clear scope (baseline screenshot/image vs current page or DOM element). It also flags itself as an alias for the sibling vibeside_visual_diff, which helps distinguish it, though it leaves the primary/alias preference ambiguous.

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?

Labels itself an alias but gives no guidance on when to use this tool versus vibeside_visual_diff itself, nor any preconditions (browser connected, baseline requirements). The agent must infer usage entirely.

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 behavioral context. It usefully discloses that the connection uses existing sessions and cookies and supports ports like 9315 and 9222. It does not state prerequisites such as remote debugging being enabled, exclusivity of the connection, or failure/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?

A single well-formed sentence with the core action front-loaded and no filler. The parenthetical port examples are compact and relevant.

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 one-optional-parameter connect tool with no output schema, the description covers target browsers, CDP transport, and session/cookie preservation. With no annotations, it should still mention prerequisites like enabling remote debugging or whether it fails if no browser is found.

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%, and the cdpUrl parameter is already documented as defaulting to auto-detected local ports. The description adds useful port examples, but does not add format or syntax detail beyond 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 (connect) and resource (Chrome/Edge browser via CDP), with browser types and port examples. "Existing or active" implies it attaches to a running browser rather than launching one, but it does not explicitly name the sibling launch 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?

The phrase "existing or active" gives implicit guidance to use this only when a browser is already running. However, it does not explicitly contrast with vibeside_spawn_browser, vibeside_browser_status, or other sibling tools, so selection 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 carries the full behavioral burden, and it falls short. It says nothing about side effects (does creating a profile disturb the active session?), duplicate-name handling, persistence of the vault directory, or whether the operation is reversible. Only the word 'isolated' hints at 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?

A single well-formed sentence with the action front-loaded and no wasted words. It is efficient, though its brevity reflects thin content rather than disciplined trimming.

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 5-parameter mutation tool with no annotations and no output schema, the description is thin. The schema covers inputs well, but the agent gets no sense of the result, error conditions on duplicate names, or interaction with the active-profile state.

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%, with clear docs for name, overwrite, setActive, description, and the defaultCipher enum. The description adds no parameter-level meaning beyond the schema, so the baseline 3 is appropriate.

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 gives a specific verb ('Create') and resource ('isolated browser profile directory and configuration'), which inherently distinguishes it from vibeside_delete_profile, vibeside_switch_profile, and vibeside_list_profiles. It does not explicitly name those siblings, but the action verb 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?

There is no when-to-use guidance, no prerequisites (e.g., whether the browser must be stopped or a profile can be created while another is active), and no routing to alternatives like switch_profile. The agent must infer usage purely from the verb.

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 a genuinely useful destructive side effect — that associated session snapshots are destroyed along with the profile — but it omits irreversibility, whether an active profile blocks deletion, and what 'safely' actually guarantees. Real value beyond the schema, but incomplete for a destructive 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?

A single front-loaded sentence with the destructive scope stated up front and no filler. Nothing to trim.

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 destructive, no-annotation, no-output-schema tool, the description covers purpose and cascade destruction but leaves key behavioral questions unanswered — reversibility, active-profile handling without force, and any confirmation requirement. Adequate but noticeably thin given the operation's risk.

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 'name' and 'force' are already documented in the schema with defaults. The description adds nothing about parameter behavior (e.g., what force=true bypasses), 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 and resource ('delete a browser profile') and adds cascade scope ('all associated session snapshots'), which separates it from vibeside_delete_session_snapshot and vibeside_close_tab. 'Safely' is a vague qualifier that adds no operational meaning, keeping it just short of a 5.

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?

No when-to-use guidance at all: nothing about when deletion is appropriate versus vibeside_switch_profile or vibeside_close_tab, no prerequisites, and no mention of the alternative behaviors (e.g., refreshing/recreating a profile instead of deleting it). The agent must infer everything from the name.

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, yet 'safely delete' is never defined and no disclosure is made about whether deletion is reversible, whether the profile must exist, or what permissions are required. It does add that the target is an encrypted file in a vault, which is useful context, but a destructive mutation with zero annotation coverage needs far more.

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 tight sentence with the action and scope front-loaded and no wasted words. It is efficient, though its brevity is partly the reason for the transparency and usage gaps.

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 destructive tool with no annotations, no output schema, and no return-value guidance, the description is too thin. An agent cannot tell from it whether the deletion is recoverable or what happens on failure, which are the key facts for a delete operation.

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 profileName (including its default to the active profile) and snapshotName. The description adds nothing about either parameter, 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?

The description gives a specific verb ('delete') and resource ('session snapshot file') plus the storage location ('vault'), so an agent immediately knows what it does. It does not explicitly name its siblings (restore/list/save session snapshot), leaving differentiation to the shared name prefix, so it falls short of a 5.

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?

There is no statement of when to use this tool versus vibeside_save_session_snapshot, vibeside_restore_session_snapshot, or vibeside_list_session_snapshots. The agent must infer the trigger from the tool name alone, and no prerequisites or exclusions are given.

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, and it partially does so by calling this a "snapshot" (implicitly read-only) and enumerating the returned element classes. However, it omits whether a live page/connection is required, size or depth limits, and any error behavior, so it is only minimally sufficient for a read-only inspection 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?

A single front-loaded sentence with a parenthetical enumeration; nothing is redundant or padded. It is efficient, though the trailing "for quick AI comprehension" is mild filler rather than essential content.

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-parameter read tool with no output schema, the description conveys what the snapshot contains, but leaves return shape, size limits, and connection prerequisites unstated. There is no output schema to lean on, so the description should ideally say more about the result an agent will receive.

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 tool takes zero parameters, which is the baseline-4 case. There is no parameter syntax for the description to clarify, and it correctly adds none.

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") and resource ("clean interactive DOM snapshot of the active page") and enumerates what the snapshot contains (headings, buttons, links, inputs). It is clear on its own, but does not differentiate from siblings such as vibeside_get_accessibility_tree or vibeside_screenshot, which also summarize page content.

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 phrase "for quick AI comprehension" gestures at intent but gives no explicit when-to-use guidance and names no alternatives. An agent cannot tell from the text whether this should be preferred over get_accessibility_tree, screenshot, or inspect_component, and no exclusions or prerequisites are stated.

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 doesn't state whether emulation persists across navigations, how to revert it, whether preset and custom width/height conflict, or what side effects on the page result — significant gaps for a state-mutating 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?

A single front-loaded sentence with no filler; the verb leads and the emulatable properties follow. It is efficient, though the comma-list of properties reads slightly like a keyword dump rather than structured guidance.

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 10 optional parameters, no annotations, and no output schema, the agent must understand persistence and reset behavior to use this well, and the description is silent on both. The rich schema covers per-parameter meaning, so the definition is adequate but not 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%, so every parameter is already documented in the schema (including the "overrides preset" interplay). The description recaps a subset of those properties in prose but adds no syntax or precedence detail beyond the schema. Baseline 3 is appropriate.

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 ("Emulate") and resource ("device") and enumerates the emulatable surface: viewport, userAgent, touch, pixel ratio, and color scheme. This is far clearer than a tautology, though it never names the distinct siblings (reset_emulation, get_emulation_status, emulate_pseudo_state) an agent must choose between.

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?

No when-to-use, when-not, or prerequisites are stated. The description implies emulation is the goal but gives no signal about how it relates to reset_emulation, get_emulation_status, capture_viewport_matrix, or the throttle_* tools that also alter device conditions.

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 usefully discloses the mechanism ('using CDP or synthetic fallback'), hinting that behavior may vary by path, but says nothing about persistence, whether states must be cleared, or 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?

A single front-loaded sentence with no filler. Minor redundancy in listing all seven pseudo-class values that already appear in the schema enum.

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 need not explain returns, and it does cover the core action and mechanism. However, for a state-mutating tool with no annotations, it omits persistence and lifecycle details an agent would benefit from.

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 selector, clearOthers, and pseudoClasses. The description's enumeration of pseudo-class values simply repeats the schema enum and adds no format or behavioral detail beyond it.

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 (force/emulate) and resource (CSS pseudo-classes on an element), so the agent knows exactly what the tool mutates. It does not name the sibling vibeside_clear_pseudo_states or otherwise differentiate, but the purpose is unambiguous.

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

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

No explicit when-to-use or when-not-to-use guidance is given. The testing use case (forcing hover/focus for inspection) is only implied by the tool's wording, leaving the agent to infer context.

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 falls short: it doesn't say whether the expression runs in the page's main world or an isolated one, whether it can mutate the page, whether evaluation is awaited (async/promise resolution), or what errors look like. 'In the browser context' is the only behavioral clue.

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 front-loaded sentence with no filler; the verb and resource come first. It is efficient, though the extreme brevity leaves behavioral gaps that a slightly longer description could have closed.

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 an eval tool with no annotations and no output schema, the agent needs to know the return shape (does it return the evaluated value, serialized how?), error behavior, and side-effect potential. None of that is covered, leaving the definition under-specified for the operation's inherent risk.

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% for the single 'expression' parameter, so the schema already documents type and meaning. The description's phrase 'arbitrary JavaScript expression' reinforces but adds no syntax, format, or constraint detail beyond 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?

The description gives a specific verb ('Evaluate') and resource ('an arbitrary JavaScript expression') plus the execution context ('browser context'). No sibling tool does expression evaluation, so the agent can identify it, though the description never explicitly states that uniqueness.

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?

There is no guidance on when to reach for this tool versus siblings like vibeside_dom_snapshot, vibeside_inspect_storage, or vibeside_inspect_component, which also expose page state. No mention of prerequisites (page must be connected/navigated first) or when-not-to-use.

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

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

With no annotations, the description carries the full behavioral burden, and it does add two non-obvious traits: the TAR implementation is pure Node.js (no external dependency) and there is safe disk path traversal defense. However, it omits key behaviors for a write-to-disk operation such as overwrite semantics, required permissions, and whether a session must already be recorded.

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 front-loaded sentence with no filler; the core operation and format list come first and the security note trails. Slightly dense, but every clause carries 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?

No output schema exists, yet the description does not explain the return shape (inline string versus base64 buffer), which the schema only gestures at. For an export/mutation tool with no annotations, more behavioral detail on disk writes would be needed to be fully 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%, so format, pretty, filePath, and filterTypes are already fully documented in the schema. The description's mention of formats and disk paths adds no syntax or format detail beyond what the schema provides, making the baseline 3 appropriate.

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 (Export) and resource (recorded telemetry session) and enumerates the output formats, so an agent can identify the operation immediately. It does not explicitly contrast itself with the inverse sibling vibeside_import_session, so sibling differentiation is left to the name.

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?

There is no guidance on when to use this tool versus alternatives such as vibeside_telemetry_get or vibeside_import_session, nor when to write to disk versus return inline. Usage context is entirely 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?

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost none of it. It implies a read operation but never states that it is non-mutating, what permissions or connection state it needs, or how heavy the operation is. Listing the four output categories is the only behavioral hint offered.

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 front-loaded sentence with no filler; the verb and target element come first, followed by the output enumeration. Appropriately sized, though the four-item list is dense and unpunctuated in terms of hierarchy.

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, enumerating the return categories (computed styles, matched rules, box model, Tailwind suggestions) is genuinely useful and covers the 'what do I get back' question. What remains missing is usage context and any behavioral note for a browser-state-dependent read tool.

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 selector, properties, and includeMatchedRules. The description adds no parameter-level detail (e.g., selector syntax, matching semantics) beyond what the schema provides, 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 ('Extract') and enumerates the four resource types returned (computed CSS styles, matched stylesheet rules, box model metrics, Tailwind classes) scoped to 'an element'. Clear on its own, but it never distinguishes itself from adjacent siblings like vibeside_inspect_component, vibeside_inspect_contrast, or vibeside_override_style.

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?

There is no when-to-use guidance, no prerequisites, and no mention of alternatives. An agent cannot tell from this text when extraction is preferable to inspect_component or a DOM snapshot. Usage must be inferred entirely from the name.

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 does disclose meaningful processing traits ('depth pruning', 'uninteresting node filtering', 'role breakdown'), which is better than nothing, but it omits return format, size/pagination behavior, and permissions. For an unannotated extraction tool this is a partial disclosure.

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 dense sentence that front-loads the core resource and follows with the key processing behaviors. It earns its words and contains no filler, though it packs three distinct features into one clause chain.

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 read/extract tool with no output schema and no annotations, the description should say more about what the returned tree looks like and how large it can get. It gestures at output structure via 'role breakdown' but leaves the agent guessing about the return shape and cost, so it is adequate but incomplete.

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 depth, rootSelector, and interestingOnly fully. The description's phrases 'depth pruning' and 'uninteresting node filtering' echo two of those parameters but add no syntax or format detail beyond the schema. 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 names a specific verb ('Extract') and resource ('hierarchical Chrome Accessibility (AX) tree'), so the agent knows exactly what it produces. It does not, however, distinguish itself from closely related siblings like vibeside_audit_accessibility or vibeside_inspect_aria_element, leaving the agent to infer which a11y tool applies.

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?

There is no when-to-use or when-not-to-use guidance. With siblings such as vibeside_audit_accessibility and vibeside_inspect_aria_element in the same accessibility domain, the agent gets no signal on when to reach for the raw AX tree versus an audit or a single-element ARIA inspection.

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. 'Get' implies a safe read and it enumerates the state facets returned, which is useful. However it does not disclose the return shape, whether unset emulation is reported as null/default, or how the four facets are aggregated.

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 front-loaded sentence with no filler; the verb and the four reported facets are stated immediately. Every clause 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 no output schema and no annotations, the description is the only source of return-value information. It names the four status categories but gives no indication of structure or default/unset behavior, leaving a real gap for a status-inspection tool.

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 tool takes zero parameters, so the baseline is 4. There are no arguments whose semantics need explaining, and the description correctly avoids inventing any.

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') and resource ('emulation status') and enumerates the four facets reported: device emulation, viewport, network profile, CPU throttling. This clearly distinguishes it from the write-side siblings like vibeside_emulate_device and vibeside_reset_emulation, though it never names them 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?

Usage is only implied: an agent would infer this is the read-side counterpart to vibeside_emulate_device / vibeside_throttle_network / vibeside_throttle_cpu for verifying current state. There is no explicit when-to-use statement, no mention of alternatives, and no prerequisites.

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 present, the description carries the full behavioral burden. It does disclose the destructive scope precisely (which three record categories get wiped), which is real value beyond the name; but it omits irreversibility, whether an active browser/session connection is required, idempotency, and 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?

A single sentence with the verb front-loaded and no filler. Every element of the enumeration earns its place by defining the blast radius of the clear operation.

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-param, no-output-schema tool this is close to adequate, but it is a destructive operation with no annotations and no statement about whether results are returned, whether a connected browser is required, or whether the clear is reversible. A short clause covering those would make it complete; as written the agent knows what is cleared but not the conditions or consequences.

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 tool takes zero parameters with an empty object schema, so there is nothing for the description to disambiguate. Baseline 4 applies; the description correctly implies no argument is needed by framing the action as clearing all cached records.

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 (clear) plus a precisely enumerated resource set (cached HMR dev server telemetry events, compiler errors, rebuild duration records), so the agent knows exactly what data this affects. It is distinguishable from siblings like vibeside_telemetry_clear or vibeside_clear_dom_telemetry by the HMR scope, but it never names a sibling or explicitly contrasts scopes, so it stops short of a 5.

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 no when-to-use guidance, no prerequisites, and no alternatives. It never mentions that vibeside_hmr_telemetry is the read counterpart or that other clear_* tools target different telemetry streams, so the agent must infer usage and disambiguation entirely on its own.

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 says it queries HMR data but does not state that this is a non-mutating read, whether records are buffered/retained across sessions, how pagination or truncation behaves, or how the limit interacts with the event history. For a zero-annotation tool this is a substantial 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?

A single front-loaded sentence with no filler and a scannable enumeration of returned data. The framework list is slightly verbose but justifies itself by scoping which dev servers are supported.

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 partially compensates by enumerating the returned fields. However, it omits the clearing counterpart (vibeside_hmr_clear), retention/buffering semantics, and any safety profile, leaving an agent with gaps for a telemetry tool.

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 limit, status, and includeRaw are already fully documented in the schema. The description's enumeration of compiler errors, warnings, rebuild latency, and status loosely corresponds to the status filter values but adds no syntax or semantics beyond what the schema provides, matching the baseline 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 states a specific verb (Query) and resource (HMR dev server events), and enumerates the concrete data types returned: compiler errors, warnings, rebuild latency, and server status, plus supported frameworks. It does not name the obvious sibling vibeside_hmr_clear as the alternative for clearing records, so sibling differentiation is only implied by the verb.

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?

There is no when-to-use guidance, no prerequisites (e.g. a connected browser/dev server must exist), and no mention of vibeside_hmr_clear as the counterpart for clearing this data. The word 'live' hints the dev server must be running, but that is inference rather than 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, yet it omits the key behavioral fact that importing clears existing recorded events by default (only visible in the schema's clearExisting default). It also says nothing about permissions, error behavior on malformed input, or the effect on current session state.

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 front-loaded sentence that identifies the action, the inputs, and the purpose with zero filler. Nothing is wasted or buried.

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 or annotations, so the description must stand alone for a tool that mutates stored session state. It covers formats and intent but omits the destructive default (clearing existing events) and any failure behavior, leaving a meaningful gap.

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 all three parameters are already documented. The description echoes the source formats ('file or inline string/base64') but adds no new syntax, precedence between content and filePath, or default-behavior detail beyond the schema, 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 (Import) and resource (recorded telemetry session), plus the accepted sources and file formats. It also names the payoff ('offline time-travel debugging'), making it distinguishable from siblings like export_session or record_session, though it never explicitly names those alternatives.

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 phrase 'for offline time-travel debugging' implies the context in which to use it, and the format list helps match a source. However, there is no explicit when-to-use/when-not guidance and no routing against related tools such as export_session or restore_session_snapshot.

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 disclosure burden. It communicates the read-only analysis surface (what is computed) but says nothing about error behavior for invalid/missing selectors, behavior on hidden or detached elements, or what the trace output looks like.

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 front-loaded sentence that names the operation and its computed outputs with no filler. The comma-joined output list is dense but every clause carries 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 one-parameter, no-output-schema inspector, the description usefully enumerates the returned analysis dimensions (explicit/implicit role, accessible name trace, focusability), which compensates for the absent output schema. Only the lack of failure-mode context keeps it from a 5.

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 schema already documents the selector as a CSS selector for the element to inspect. The description restates the same notion ('single DOM element') without adding format, targeting, or uniqueness semantics beyond the schema. 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 gives a specific verb and resource: 'deep inspection of a single DOM element' with a named objective (WAI-ARIA 1.2/1.3 compliance) and concrete computed outputs (role, accessible name trace, focusability). The word 'single' implicitly distinguishes it from page-wide siblings like audit_accessibility or get_accessibility_tree, but no sibling is named 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?

There is no when-to-use guidance and no routing to alternatives. With siblings such as vibeside_get_accessibility_tree, vibeside_audit_accessibility, and vibeside_inspect_component in the same family, the description never states when to reach for this element-level inspector 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 exist, so the description carries the full behavioral burden. It discloses the return payload (component name, path, line), which is useful, but omits prerequisites such as an active browser connection and an element present in the DOM, and says nothing about behavior when the element is plain HTML with no framework component.

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 tight sentence with the action and the payoff (exact component identity) front-loaded; 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?

Because there is no output schema, the description usefully enumerates the returned fields. It is nearly complete for a one-parameter read tool, missing only prerequisite/connection context and fallback behavior for non-framework elements.

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% for the single 'selector' parameter, so the schema already documents the CSS selector input. The description only vaguely gestures at 'a UI element' without adding format or resolution details beyond the schema, 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?

Specific verb (Inspect) + resource (UI element) plus the exact outputs it resolves: React Fiber/Vue component name, source file path, and line number. This clearly distinguishes it from siblings like vibeside_inspect_contrast or vibeside_inspect_aria_element, which target different attributes.

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 phrase 'for precise vibe-coding edits' implies the context of use, but there is no explicit when-to-use versus alternatives such as vibeside_dom_snapshot or vibeside_extract_styles, and no exclusions or prerequisites stated.

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 the computation method (sRGB linearization) and that it returns accessible color suggestions, which is real added context. However, it never states prerequisites (connected browser, page loaded) or whether it needs a selector or explicit colors, leaving meaningful gaps for a no-annotation 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?

A single, front-loaded sentence with no filler; the verb and resource lead, and the technical qualifiers (WCAG 2.2, sRGB linearization, suggestions) follow. Nothing is wasted.

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 five-parameter, no-annotation tool with no output schema, the description is only minimally adequate. It never explains the relationship between selector and direct color overrides, nor what a result contains beyond "suggestions," so an agent cannot fully predict invocation or outcome.

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 five parameters (isBold, bgColor, fgColor, fontSize, selector) with types, ranges, and formats. The description only echoes "foreground and background" and adds no syntax, default, or selection logic beyond the schema. 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 ("Inspect") and resource ("WCAG 2.2 color contrast ratio between foreground and background"), which is unique among the siblings – no other tool targets contrast specifically. It does not name a sibling it is distinct from (e.g. vibeside_audit_accessibility or vibeside_inspect_aria_element), so it falls short of full sibling differentiation.

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?

There is no when-to-use guidance, no mention of alternatives such as vibeside_audit_accessibility for broader a11y checks, and no exclusions or prerequisites. The agent must infer when contrast inspection is the right call versus running a full accessibility audit.

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 what information is reported (validity flags, messages, valid/invalid counts), which implies a non-mutating inspection. However, it never explicitly states that the tool is read-only, has no side effects, or how it handles a selector that matches no form.

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 sentence, front-loaded with the action and resource, with the output contents compactly parenthesized. No filler, though the parenthetical makes it slightly dense.

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 single-parameter, no-annotation, no-output-schema read tool, the description covers purpose, scope, and the shape of the returned validation data. Only the read-only guarantee and edge-case behavior under a non-matching selector remain 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 coverage is 100% and the single formSelector parameter is fully documented in the schema. The description adds only the notion that the target may be a form or any container, matching the schema default, so the baseline 3 is appropriate.

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 ('Inspect'), a specific resource ('HTML5 constraint validation states'), a scope ('across all fields in a form or container'), and enumerates the returned data. This clearly separates it from siblings like inspect_contrast or inspect_aria_element.

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?

No guidance on when to use this versus alternatives such as eval, dom_snapshot, or autofill_form, and no prerequisites or timing conditions are stated. Usage is only implied by the domain (form validation).

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 the full burden of behavioral disclosure, but it only vaguely mentions 'playback quality and buffer health telemetry' without stating whether the operation is read-only, what side effects exist, or what the return format looks like. This leaves significant gaps for an inspection 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 a single, front-loaded sentence that conveys the core action and key telemetry aspects without any wasted words. It is appropriately sized and well-structured.

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 tool with one optional parameter and no output schema, the description gives a high-level idea of the return value ('playback quality and buffer health telemetry') but lacks specifics on the data structure or behavioral traits. It is minimally adequate but could be more complete given the absence of annotations and output schema.

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 fully documents the single optional 'selector' parameter with a clear description and examples. The tool description adds no additional parameter semantics beyond the schema, so the baseline of 3 is appropriate.

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

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

The description states a specific verb ('Inspect') and resource ('HTML5 video/audio elements and WebRTC streams') with additional context about telemetry. It clearly identifies the tool's focus, though it does not explicitly differentiate from related siblings like observe_media_events or capture_video_frame.

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 provides no guidance on when to use this tool versus alternatives. It implies the tool is for inspecting media streams but offers no exclusions, prerequisites, or explicit comparisons to sibling tools such as vibeside_observe_media_events or vibeside_capture_video_frame.

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 the behavioral burden. It usefully discloses that retrieval is bounded (limits) and that credential masking is an available behavior, but it never states that the tool is strictly read-only/non-mutating of the page, nor how much data or how many domains are returned.

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 front-loaded sentence that leads with the verb and resources before the trailing capability list. No filler, though the feature list is dense and could have been trimmed in favor of routing guidance.

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?

Five optional parameters, no output schema, and no annotations mean the description has to cover a lot. It covers what can be inspected and the key knobs, but says nothing about result shape, ordering, or the fact that masking is off by default — a point where 'credential masking' could mislead an agent into assuming credentials are always hidden.

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 five parameters are already fully documented, including defaults like maskSensitive=false and limit=50. The description echoes three of these behaviors (JSON parsing, bounding limits, credential masking) but adds no syntax, format, or precedence detail beyond 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 ('Inspect') and an exhaustive resource list (cookies, localStorage, sessionStorage, IndexedDB) scoped to 'the active dev page'. It reads clearly against the mutating sibling vibeside_mutate_storage, though it never names that alternative 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?

No when-to-use, when-not-to-use, or alternative guidance is given. The read-only intent is only implied by the verb 'Inspect'; nothing tells the agent to prefer this over vibeside_mutate_storage or a DOM-inspection sibling.

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 states that only active rules are listed and that hit count statistics are included, but it does not disclose pagination behavior, ordering, permissions, or whether inactive rules are silently excluded.

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 a single, front-loaded sentence with no wasted words. It states the operation, scope, and returned information efficiently.

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 list tool with one optional parameter and no output schema, the description is largely complete: it says what is listed and that hit counts are returned. Minor gaps remain around return shape and ordering, but these are not critical for a list operation.

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 100% description coverage for its single optional filter parameter, so the schema already explains filtering by URL pattern, method, or operationName. The description adds no parameter-level detail beyond the tool's overall scope.

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 and resource: 'List all active network route interceptor mock rules and hit count statistics.' It is clear what the tool does, though it does not explicitly differentiate itself from sibling tools such as vibeside_mock_route or vibeside_clear_mock_routes.

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?

Usage is implied: this tool is for retrieving currently active mock route rules. However, there is no explicit guidance about when to call it versus alternatives, nor any mention of related tools like vibeside_mock_route, vibeside_clear_mock_routes, or how this fits into a mocking workflow.

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. "List" naturally implies a read-only operation and the text discloses that bandwidth specs are included in the result, which is useful. However, it says nothing about return shape, pagination, or whether the profile set is static versus environment-dependent.

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 front-loaded sentence with no filler; the enumerated profile names are the one piece of information the schema cannot supply.

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 low-risk, one-optional-param list tool with no output schema, the description is sufficient to invoke correctly. Only the lack of any when-to-use routing against vibeside_throttle_network keeps it from being fully 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 the single parameter is a fully documented enum with a default, so the schema already does the work. The phrase "with category filtering" only echoes the parameter without adding syntax or semantics. 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?

Specific verb ("List") plus specific resource ("network condition profiles") with concrete examples (2G, 3G, 4G, 5G, DSL, Wi-Fi, Fiber, Satellite). It is clearly distinguishable from write-oriented siblings like vibeside_throttle_network and vibeside_benchmark_network, but the description never names or contrasts those 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?

Usage is only implied: an agent can infer this is the discovery step before vibeside_throttle_network, but the description never states when to call it, when not to, or what the alternative is. No prerequisites or exclusions are given.

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 return payload (storage metrics and active status), which implies a non-mutating read, but says nothing about permissions, whether metrics are live or cached, or cost of the call.

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 front-loaded sentence with the resource first and the returned data second. No filler or redundancy.

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 list tool with no output schema, the description gives the key shape of the response (metrics plus active status) and the schema documents the only filter. Missing only the count/ordering or pagination expectations.

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 optional filter parameter is fully documented in the schema. The description adds no syntax, matching rules, or scope detail beyond what the schema already states, 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 and resource ("List all browser vault profiles") and names the payload (storage metrics and active status). Sibling verbs (create_profile, switch_profile, delete_profile) make the read-only listing role obvious without needing to name them 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?

There is no statement of when to use this versus the profile siblings or when a listing is the right first step. The verb alone implies a discovery/enumeration use case, but nothing is spelled out and no prerequisites are given.

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, yet it only discloses that snapshots are encrypted and carry metadata. It says nothing about read-only safety, auth/permission requirements, pagination, or result ordering.

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 front-loaded sentence with zero filler; scope and content are conveyed immediately. Nothing redundant or padded.

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-optional-parameter list tool with no output schema, the definition is minimally adequate, but it never explains what 'metadata' contains or what the returned entries look like, leaving the agent guessing about the payload.

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% and the single optional profileName parameter is already fully documented in the schema, including the omit-to-list-all behavior. The description's 'across profiles' simply restates that, adding no new semantics.

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 ('List all ... session snapshots') plus scope ('across profiles'), which separates it from the save/restore/delete snapshot siblings. It stops short of naming those siblings explicitly, so differentiation relies on the verb 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?

There is no statement of when to use this versus vibeside_save_session_snapshot, vibeside_restore_session_snapshot, or vibeside_delete_session_snapshot, and no prerequisites or exclusions. Usage is only inferable from the word 'List'.

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. 'List' implies a safe read and the field enumeration discloses the response shape, but nothing is said about whether the listing is scoped to a connected browser session, whether it fails when no browser is attached, or whether order/indices are stable.

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 front-loaded sentence with the verb and resource first and the field list second. No filler, 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?

With no output schema, the field enumeration is the sole description of the return value and it covers seven attributes adequately for a zero-parameter listing tool. The only real gap is the absence of any session/connection precondition for calling 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?

The tool takes zero parameters, so there is no parameter semantics to explain; baseline 4 applies. The description instead spends its words on the return payload, which is the only input/output information available given the empty 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 ('List all open browser tabs and targets') and pre-announces the returned fields (index, ID, URL, title, viewport, active state). It does not explicitly contrast itself with the tab-manipulation siblings (switch_tab, new_tab, close_tab), but the read-only listing 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?

Usage is only implied: an agent can infer this is the discovery step before switch_tab/close_tab, but the description never states when to call it or that it is the prerequisite for index-based tab operations. No exclusions or alternatives are offered.

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 does disclose the behavioral modes (fake status, body, artificial latency, simulated faults) but omits rule lifecycle semantics: whether a rule persists, what happens on conflicting patterns, and that 'times' auto-removes the rule. The schema carries some of that, but the description adds no lifecycle or session-requirement context.

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 front-loaded sentence with the core action first and the configurable dimensions trailing. No filler, no redundancy.

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 an 11-parameter mutation-like tool with no annotations and no output schema, the description is thin: it never mentions that a rule identifier is produced, how rules are later listed or cleared, or whether a connected browser session is required. The exhaustive schema compensates for parameter detail, but the operational context is incomplete.

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 every one of the 11 parameters is already documented in the schema, making 3 the baseline. The description groups parameters conceptually (status, body, latency, faults) but adds no syntax, matching semantics, or interaction details beyond what the schema already states.

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+resource pair ('intercept and mock network HTTP/GraphQL requests in the browser') and enumerates the controllable dimensions (status, body, latency, network faults). It is clearly distinguishable from adjacent tools like vibeside_throttle_network, though it never names its closest siblings (vibeside_list_mock_routes, vibeside_clear_mock_routes) to sharpen the boundary.

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?

There is no explicit when-to-use or when-not-to-use guidance. An agent is left to infer that this creates a route rule, and nothing tells it how this relates to vibeside_list_mock_routes / vibeside_clear_mock_routes for managing rules or to vibeside_throttle_network for degradation scenarios.

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 signals mutation via 'Set, delete, or clear' but never states that 'clear' wipes an entire storage domain (highly destructive), whether changes persist across reloads/sessions, or what permissions/context are required.

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 tight sentence with the action list front-loaded and zero filler. It is appropriately sized, though it could have used one more clause to carry the missing behavioral warning.

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 6-parameter mutation tool with nested cookieOptions/indexedDbOptions, no annotations, and no output schema, the description omits the destructive semantics of 'clear', persistence behavior, and any return/error information. The rich schema covers parameters, but the behavioral gap is unaddressed.

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 key, type, value, action, cookieOptions, and indexedDbOptions. The description only echoes the type and action enumerations and adds no extra syntax or constraint detail, so 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 specific verbs (set, delete, clear) plus the resource (storage items) and enumerates the four storage domains, which matches the `type` enum. It implicitly contrasts with the sibling vibeside_inspect_storage by naming only mutation actions, but it never names that sibling 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?

No when-to-use or when-not-to-use guidance. It does not say to prefer vibeside_inspect_storage for reads, nor that a browser connection/session must already exist before mutating storage. Usage is only inferable from the verb list.

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 one genuinely useful trait — navigation reuses existing logged-in sessions rather than a fresh context — but omits failure behavior, what happens when no browser is active, and how waitUntil affects timing.

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 front-loaded sentence with the verb and target first, and the inline example URLs add practical value without bloat. Nothing extraneous, though it could have spent the same space on the missing waitUntil semantics.

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, the core action is covered, but the waitUntil behavior and error/active-session edge cases are unaddressed. Adequate but with clear gaps for a tool whose timing parameter materially changes its behavior.

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 only 50%: url is documented as 'Target URL' and waitUntil has no description at all. The description adds no parameter meaning, so it does not compensate for the undocumented enum parameter or explain the default networkidle2.

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 (the active browser) with concrete example URLs. The word 'active' implicitly separates it from tab-creating siblings like vibeside_new_tab, though it never names an alternative 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?

There is no when-to-use guidance and no routing to alternatives such as vibeside_new_tab, vibeside_switch_tab, or vibeside_connect. The agent must infer that this drives the current tab rather than opening a new one.

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 that focus is set automatically and that navigation is optional, but it omits side effects on existing tabs, whether a browser must already be running, and whether the call is idempotent. Useful but incomplete for a state-changing browser action.

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 front-loaded sentence with zero filler; the verb and resource lead, and the two optional behaviors follow compactly.

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 3-optional-parameter tool this covers the essentials, but with no output schema and no annotations the description should say what the call returns (e.g., a tab identifier usable with switch_tab/close_tab) and what session state it requires. Those gaps leave an agent guessing about follow-up steps.

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 schema already documents all three parameters and the waitUntil enum. The description only echoes 'url' and 'setActive' in prose and adds no format or default detail beyond what the schema provides; 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 names a specific verb and resource ('Open a new browser tab') and adds the two notable behaviors (optional initial URL, automatic focus). It is clearly distinguishable from close_tab/switch_tab by the verb, though it never explicitly contrasts itself with siblings like vibeside_navigate, which also takes a URL.

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?

There is no guidance on when to create a new tab versus navigating the current one (vibeside_navigate) or switching to an existing tab (vibeside_switch_tab) — a genuinely ambiguous choice in this toolset. No prerequisites (e.g., an active browser session) are stated either.

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. 'Observe' implies a read/telemetry operation, but the description says nothing about buffer persistence, whether observation is continuous or point-in-time, how results are returned, or what happens when thresholds trip beyond the bare param names.

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 front-loaded sentence with three well-ordered clauses, zero filler, and the primary action stated first. It is efficient, though the dense triple-clause structure is the only thing carrying the whole definition.

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 7 parameters, no annotations, and no output schema, the definition should explain how to interpret the storm/critical results and the interaction between clearAfterRead and the sibling clear tool. It covers the what but leaves the how-to-interpret and lifecycle 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%, so every parameter (limit, windowSec, filterType, clearAfterRead, filterSelector, stormThreshold, criticalThreshold) is already documented in the schema. The description adds no syntax, format, or interaction detail beyond that 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?

The description names a specific verb and resource ('Observe live DOM mutations') and adds two concrete capabilities (sliding-window rate evaluation, re-render storm hotspot detection). It is clear what the tool does, but it never distinguishes itself from close siblings like vibeside_dom_snapshot or vibeside_clear_dom_telemetry.

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?

There is no statement of when to use this tool versus alternatives such as vibeside_dom_snapshot, vibeside_observe_layout_shifts, or vibeside_clear_dom_telemetry. No prerequisites, no exclusions, no context for choosing this over a one-shot DOM snapshot.

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 conveys that this is real-time telemetry observation and even describes the shape of the output (ratings, ranked culprits), but it does not state whether the read is non-destructive, what buffering behavior to expect, or how the clearAfterRead side effect interacts with observation.

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 dense sentence with the primary resource front-loaded and no filler. It efficiently packs the metric, the rating taxonomy, and the culprit-ranking output, though the trailing clauses slightly crowd what could be a cleaner statement.

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, the description partially compensates by naming the returned data domains (CLS telemetry, good/needs_improvement/poor ratings, ranked culprit elements). However, for a telemetry-observation tool it omits how results are scoped or paginated and how the buffer-clearing param changes returns, leaving 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%, so all three parameters (limit, clearAfterRead, unexpectedOnly) are already fully documented in the schema, including defaults and constraints. The description adds no parameter-level detail, so 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?

The description names a specific verb (Observe) and a precise resource (real-time Cumulative Layout Shift / CLS telemetry), and further specifies the returned content (Core Web Vitals rating, ranked culprit DOM elements). This clearly distinguishes it from siblings like vibeside_observe_long_tasks or vibeside_observe_dom_mutations, though it does not name those alternatives 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?

There is no when-to-use or when-not-to-use guidance and no mention of alternatives. An agent must infer that this is the CLS-specific observation tool versus vibeside_telemetry_get, vibeside_telemetry_clear, or vibeside_clear_dom_telemetry entirely from the resource name.

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 usefully discloses the 50ms threshold and that derived metrics (TBT, CWV rating) are computed, but says nothing about read-only safety, whether observation is a one-shot snapshot or continuous, how the memory buffer accumulates, or what clearing implies.

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 front-loaded sentence with no filler. Slightly dense with three comma-separated clauses, but every clause adds information and nothing is wasted.

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 is the only source of behavioral detail, and it stops at naming the metrics. It does not describe the shape of returned long-task records or how buffer/clear semantics affect repeated calls, leaving gaps for an agent to infer.

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 limit, minDurationMs, and clearAfterRead. The description only echoes the >50ms default already present in the schema and adds no format, range, or behavioral nuance beyond it.

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 (observe) and resource (main-thread Long Tasks) and goes further to name derived outputs (TBT, Core Web Vitals responsiveness rating). It is distinguishable in broad terms from siblings like observe_layout_shifts, though it does not explicitly contrast against 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?

There is no when-to-use guidance, no prerequisites (e.g., requires a connected/attached browser session), and no routing away from related observers such as observe_layout_shifts, observe_dom_mutations, or observe_media_events. Usage context is only implied by the term 'observe'.

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 does disclose that events are buffered (ephemeral, limited history) and that filtering is sliding-window based, and 'Query' implies a read operation. However, it omits auth/connection prerequisites, whether querying drains or clears the buffer, and how the buffer relates to vibeside_clear_media_telemetry.

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 front-loaded sentence that names the data source, lists event types, and states the filtering mode. No filler, no restatement of the tool name, and the key scope detail (buffered, sliding-window) is up front.

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?

No output schema and no annotations, so the description should carry more. It does not explain the return shape (array of event objects? fields?), whether results are paginated or ordered, or the connection prerequisites. For a 4-parameter query tool with siblings that also clear media telemetry, an agent lacks enough context to call it confidently.

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 every parameter is already documented. The description only echoes the sliding-window filtering concept and event type list, adding no syntax, format, or behavior detail beyond what the schema provides. Baseline 3 is appropriate 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 (Query) and resource (buffered HTML5 media events), enumerates event types, and mentions sliding-window filtering. It implicitly separates from siblings like vibeside_inspect_media_streams by focusing on events rather than streams, but does not name or differentiate any alternative 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?

No when-to-use guidance, no alternatives named, no prerequisites (e.g., must be connected to a browser session) stated. The event-type list implies what you can filter on, but the agent gets no routing help for choosing this tool over e.g. vibeside_inspect_media_streams or vibeside_observe_long_tasks.

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. 'Live-override' implies a runtime mutation of the current page, but it does not disclose persistence across navigation, reversibility/cleanup, whether a browser connection is required, or what the 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?

A single front-loaded sentence with no filler; the action and target are stated immediately and nothing is repeated from structured fields.

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 mutation tool with no annotations and no output schema, the description omits key operational context such as the connection/tab prerequisite and how overrides are undone. The rich schema (100% coverage, defaults, nested styles map) covers parameters, so the remaining gap is behavioral rather than structural.

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%, with inline, important, styles, and selector all documented including defaults, so the schema does the heavy lifting. The description adds no parameter-level meaning, which makes the baseline 3 appropriate.

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+resource: overriding CSS styles on an element in the active page. It is clearly distinguishable from read-oriented siblings like vibeside_extract_styles, but it never names a sibling or explicitly contrasts scope, so it stops short of a 5.

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 phrase 'for instant vibe-coding experimentation' hints at the intended context, but there is no explicit when-to-use guidance, no prerequisites (e.g. an active tab or prior vibeside_connect), and no mention of alternatives such as vibeside_extract_styles or a way to revert overrides.

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