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

With no annotations, the description carries the burden and does disclose the key behavioral traits: what is destroyed (temporary data discarded) and what survives (Chrome and the tab remain open). It omits error behavior and whether the session_id can be reused, so a 4 rather than a 5.

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 no waste, and the destructive scope is front-loaded ahead of the survival guarantee.

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-param teardown tool with no output schema this is nearly sufficient behaviorally, but the lone parameter is left unexplained in both schema and description.

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?

There is one required parameter (session_id) with 0% schema description coverage, and the description never mentions it, so the agent gets no meaning for the argument beyond its name. With a parameter present and undocumented, the baseline can't be the 0-parameter 4.

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 ('detach, close') and resource ('Debug Web's socket'), and explicitly scopes what is NOT touched ('leaves Chrome and the tab open'), which distinguishes it from browser_open_session and from any imputed browser-shutdown behavior.

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 alternative names, but the clause 'leaves Chrome and the tab open' implies the scenario (detaching while preserving the browser), which is enough for implied usage but not for a 4.

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 disclose one meaningful trait: events are read from memory and Chrome is not contacted, so there are no live side effects. It omits pagination behavior, what happens when no capture is active, and whether results are ordered.

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 the resource list is placed before the qualifying clause. It is arguably too terse given the undocumented parameters, but there is no wasted text.

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

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

For a 3-parameter tool with no annotations, no output schema, and 0% schema coverage, the description covers only purpose and the no-Chrome-call trait. An agent still cannot tell how to page through results, what a returned event looks like, or what preconditions (an active capture) are required.

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

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

Schema description coverage is 0% and the description adds no parameter meaning at all — limit, offset, and the required session_id are never explained or referenced. The parameter names are conventional, which softens the gap, but the description does not compensate for the missing schema documentation.

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 enumerates the resource precisely: captured console, navigation, network, and WebSocket events. It partially differentiates from siblings by implying a buffered event stream rather than the live browser, though it overlaps conceptually with browser_list_network_requests without naming it.

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 clause 'does not call Chrome' implicitly tells the agent when this tool is preferable — when reading already-captured data rather than probing the live browser. However, no sibling is named and no explicit when/when-not conditions (e.g., capture must be running) are given, so usage is only implied.

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 add real behavioral context: headers are redacted, bodies are only present if opted-in, and the read is memory-only rather than a live Chrome call. It omits what happens on an unknown session_id/request_id, but the disclosure of data-loss and no-live-fetch semantics is genuinely informative.

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; every clause (redacted headers, opted-in bodies, memory-only) 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?

No annotations and no output schema mean the description must cover more ground. It handles the read semantics and data caveats well but leaves parameter meaning and the not-found/missing-body behavior unaddressed, so it is only minimally sufficient for invocation.

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

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

Schema description coverage is 0% for two required parameters, so the description must compensate and does not. 'one captured request' weakly implies request_id scoping but nothing explains the relationship between session_id and request_id or the expected formats.

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

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

The description states a specific verb and resource: 'Read one captured request'. The singular 'one' implicitly distinguishes it from the sibling browser_list_network_requests, though 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?

Saying the request comes 'from memory' and 'does not call Chrome' implies this only works on already-captured data, which is useful usage context. However, it gives no explicit guidance on when to prefer this over browser_list_network_requests or browser_get_events, and states no prerequisites (e.g. that a capture session must exist).

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, but it does disclose one genuinely useful trait: it reads in-memory captured data and does not call Chrome, implying results depend on a prior capture and carry no live-browser cost. It omits prerequisites (active session/capture), pagination defaults and limits.

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 compact sentence with no filler, and the important constraint (in-memory, no Chrome call) is front-loaded. The terseness is efficient, though it borders on 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 a 4-parameter, no-annotation, no-output-schema tool with zero schema coverage, this is not enough. The description never says what fields come back, that a session/capture must exist, or how limit/offset behave, so an agent lacks what it needs 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?

Four parameters with 0% schema description coverage, and the description mentions none of them. session_id, limit, offset and resource_type are completely undocumented in both places, leaving the agent to guess valid values and 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?

The name supplies the verb+resource (list network requests), but the description itself only says it queries 'network metadata', which is vaguer than the tool name. The scoping clause ('captured ... in memory') is the only real distinguishing content, and it does not explicitly contrast with sibling browser_get_network_request.

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?

Nothing states when to use this rather than browser_get_network_request (single request) or when a capture must already be running via browser_start_capture. Usage is only inferable from the name and sibling set.

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 implies a read-only listing and scopes the endpoint to loopback, but says nothing about permissions, error behavior, pagination, or return format. This is a significant gap for a tool with zero annotation coverage.

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

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

A single sentence that is front-loaded and free of filler. Every clause contributes to identifying the action, target, and endpoint constraint.

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

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

Given the tool's low complexity and single parameter, the description is adequate for identifying purpose, but with no output schema it does not describe what a target contains. The missing return information leaves an agent guessing about the result shape.

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

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

Schema description coverage is 0%, so the description must compensate. It names the parameter's semantic domain ('loopback Chrome CDP endpoint'), which adds meaning beyond a bare URI string, but it does not explain expected format, ports, or examples.

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 (List) and resource (localhost development tabs) and clarifies the endpoint type (loopback Chrome CDP). It is immediately distinguishable from siblings like browser_list_network_requests or browser_open_session, but it does not explicitly contrast itself with 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 guidance on when to use this tool instead of a sibling, nor any mention of prerequisites or conditions. The purpose is implied by the description, but an agent receives no explicit routing information.

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 full burden. It usefully discloses that Chrome and tabs 'remain user-owned' (non-destructive, no takeover) and that it 'attaches' rather than launches, but omits lifecycle (must be paired with browser_close_session), auth/permission needs, and failure conditions.

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?

Three tight sentences, front-loaded with the core action and followed by the optional behavior and ownership guarantee. No filler; only mild room to be more explicit about the target source.

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, no annotations, and 0% schema coverage for a 3-parameter tool. The description does not explain how to obtain target_id, what cdp_endpoint expects, or the session lifecycle, so an agent lacks enough to call it reliably.

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

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

Schema description coverage is 0%, so the description must compensate. It conveys the intent of target_id ('one selected tab') and allowed_origins ('exact additional localhost origins'), but never mentions cdp_endpoint and omits the 8-origin cap, leaving the URI-format requirements undocumented.

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?

'Attach to one selected localhost development tab' gives a specific verb (attach) and resource (tab), and the session framing distinguishes it from sibling capture/network tools. It stops short of explicitly naming browser_list_targets as the source of the selected tab, but the scope is clear.

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: you must already have selected a localhost tab, and the optional origin authorization is described as opt-in. There is no explicit when-to-use versus siblings (e.g., 'call browser_list_targets first') and no stated exclusions or preconditions.

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

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

With no annotations, the description carries the burden and does add real behavioral context: bodies default off, text/JSON bodies are size-bounded, and data is held only in memory (a meaningful non-persistence signal). It omits whether the call blocks, what happens when duration_ms is 0, and any auth/permission requirements.

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

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

Two short sentences with zero padding; the capture scope is front-loaded and the body-handling caveat follows. 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?

For a 5-parameter tool with no annotations and no output schema, the description covers body behavior well but leaves key operational details (duration_ms semantics, session prerequisite, what the capture returns/where to read it) unstated. Adequate but with clear 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 0%, so the description must compensate; it clarifies capture_request_bodies/capture_response_bodies defaulting off and that max_body_bytes bounds text/JSON body size. However, session_id and duration_ms (including the 0 default) are left entirely unexplained, so coverage is partial.

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

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

States a specific verb (capture) and enumerates the captured resources (network, console, navigation, WebSocket events), so the agent knows exactly what this tool produces. It is distinguishable from retrieval siblings like browser_get_events or browser_list_network_requests, though it does not explicitly name 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 description never says when to call this versus alternatives, nor does it note the obvious pairing with browser_stop_capture or the prerequisite of an open session. Usage is only implied by the verb 'capture'.

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 a summary of temporary event data is returned, but is silent on whether stopping clears/destroys that data, whether the session survives, or whether the events remain retrievable via browser_get_events.

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 wasted words, well sized for a simple one-parameter tool.

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 stop tool with no output schema, the description is largely adequate, but it leaves the post-stop data lifecycle and session state ambiguous, which an agent needs in order to sequence calls against browser_get_events and browser_close_session.

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

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

Schema description coverage is 0% and the description never mentions session_id, leaving the single required parameter undocumented. Though session_id is fairly self-evident, the description fails to compensate for the coverage gap.

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

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

States a specific verb (Stop) and resource (capture) plus a hint at its output (summary of temporary event data). It is clearly the counterpart to the sibling browser_start_capture, though 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?

Usage is only implied by the name pairing with browser_start_capture; there is no explicit statement of when to call it, what prerequisites (an active capture/session) are required, or how it relates to browser_close_session.

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