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

No annotations are supplied, so the description carries the full disclosure burden, and it does add real value by describing what is returned (failure reason, and the initiator when the HAR records it). It says nothing about ordering, whether limit truncates silently, or how secrets are handled in returned URLs/headers, all of which matter for a diagnostic listing tool with no readOnly/destructive hints.

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 tight parenthetical enumeration; every clause adds information about what counts as a failure. Slightly dense but 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?

The output schema means return values need not be re-explained, and the failure taxonomy is thorough, so core semantics are covered. The remaining hole is input-side: with three undocumented parameters and no sibling routing, an agent can identify the tool but not confidently supply arguments or choose it over find_requests.

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 any of the three parameters. The required 'path' parameter in particular is undefined — an agent must guess that it is the location of a HAR file. The significance of include_secrets for a tool that returns the initiator is not explained either, so the description does not compensate for the schema 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 and resource ('List failed requests') and then defines the exact inclusion criteria: HTTP 4xx/5xx, status 0 cases (blocked, cancelled, offline), and browser-flagged errors such as net::ERR_BLOCKED_BY_CLIENT. That is far more precise than the name alone. It does not, however, distinguish itself from the sibling find_requests, so an agent cannot tell from the description alone which of the two is the right entry point for a status-4xx query.

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 enumerated failure categories imply when this tool is applicable (diagnosing failed loads) but no explicit when-to-use, exclusions, or alternative tool is ever named among the six siblings. Usage must be inferred from what the filter set covers rather than 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 burden and does well: it discloses the limit cap (max 500), that the total match count is always reported even when results are truncated, and that URLs are masked unless include_secrets=true — a security-relevant default an agent would otherwise miss. It never states read-only/non-destructive behavior or whether the HAR file is modified.

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

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

Front-loads the purpose and output contract, then packs filter semantics into tight clauses with zero filler. Every sentence conveys a distinct, actionable 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?

An output schema exists, so return-value detail is unnecessary and correctly absent; the description still adds the truncation/count behavior. For an 11-parameter tool it is nearly complete, missing only the meaning of the required `path` input and the `method` filter.

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% across 11 params, so the description must compensate, and it largely does: it explains url_contains/url_regex matching mode, status value formats, mime/domain substring semantics, the start_ms/end_ms reference origin, the limit ceiling, and include_secrets. The required `path` parameter and `method` are never explained anywhere, which is the main remaining 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+resource ("Find requests") and pairs it with the concrete output contract ("get their #index numbers"), plus names the downstream tool request_detail. It does not explicitly separate itself from slowest_requests or failed_requests, which overlap with the status filter it documents.

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

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

Gives real usage rules: all filters are ANDed, url_contains/url_regex are case-insensitive, status accepts 404/4xx/200-299/0/comma lists, mime and domain are substring matches, and start_ms/end_ms select on request start time in ms from the first request. No explicit when-not or sibling routing guidance (e.g., "prefer failed_requests for 4xx/5xx overview").

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 delivers two non-obvious traits: the file is streamed so 100+ MB HARs are safe, and entry numbers (#N) referenced by other tools are 0-based positions. It omits failure behavior (missing/unreadable/invalid HAR) and confirms nothing about read-only safety, though a summarizer is self-evidently non-mutating.

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

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

Front-loaded with the operation and its outputs, then two short operational notes (start here, streaming safety, 0-based numbering). Every sentence adds information an agent would otherwise have to guess; 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?

An output schema exists, so the enumerated return dimensions are a bonus rather than a necessity, and the streaming/0-based numbering notes cover the highest-risk behavioral unknowns. The remaining gap is input-path semantics and error handling for an unannotated 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?

A single required `path` parameter with 0% schema description coverage; the description only implies via "The file is streamed" that this is a local filesystem path. It does not say whether the path must be absolute, whether relative paths resolve, or how the file is located, so it only partially compensates for the schema 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 (summarize) and resource (HAR file) and enumerates the exact aggregates produced: entry/page counts, time range, load timings, totals by resource type/domain/status class, byte comparisons, cache hits. That enumeration makes it unmistakably the overview tool rather than slowest_requests, failed_requests, or waterfall.

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?

"Start here" is explicit entry-point guidance and, combined with the sibling set, implies this is the first call before drilling into specialized tools. It stops short of naming a specific sibling or stating when-not to use it, e.g. when a single request's detail is needed 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?

With no annotations, the description carries the full burden and does so well: it discloses streaming behavior for large files, a hard no-overwrite guarantee ('fails if `output` exists'), a path sandbox restriction ('must be inside the allowed directories'), and an honest limitation that innocent-named secrets in URL paths or HTML cannot be recognised. These are exactly the operational traits an agent needs before invoking a file-writing 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?

Four tight sentences, front-loaded with the action and redaction scope, then constraints, then the caveat. Every clause delivers actionable information; there is no filler or restatement of the 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?

For a two-parameter file-writing tool with no annotations and an output schema available, this covers the essentials: what is masked, write safety, sandbox limits, and residual risk. Return values are correctly omitted since the output schema exists, and no contradicting or missing behavior leaves the agent unable to call it correctly.

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

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

Schema coverage is 0%, so the description must compensate, and it does for `output`: it is inside allowed directories and must not already exist. `path` (the source HAR) is only implicitly identifiable from 'of a HAR' — its existence requirements and path-format expectations are never stated, leaving one of two parameters under-specified.

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?

Opens with a specific verb+resource+outcome: 'Write a sanitized copy of a HAR that is safe to share'. It then enumerates exactly what is redacted (Authorization, Cookie/Set-Cookie, tokens/passwords/API keys in headers, query strings, JSON and form bodies), which distinguishes it unambiguously from the read-only analysis siblings like har_overview and request_detail.

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 use case is implied rather than stated: 'safe to share' plus 'Review the result before sharing' signals this is a pre-sharing sanitization step. However, it never explicitly says when to pick this over siblings, nor does it name any alternative or exclusion case (e.g. what to do if the user just wants to inspect a HAR).

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 substantial work: it discloses body truncation (cut to body_chars, hard cap 20000), that binary/base64 bodies are described rather than dumped, and that authorization, cookies, tokens and passwords are masked as <redacted:N> by default. It omits error behavior for a bad index/path and whether the operation is strictly read-only, but the masking and truncation disclosures are the behaviorally important ones.

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 paragraph opening with the core purpose, then a facet list and two constraint sentences. The enumeration is long but each item is a real capability the agent needs to know; no filler text or repetition.

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?

An output schema exists, so return values need no prose. For a 4-parameter drill-down tool the description covers payload shape, truncation limits and redaction defaults well; the only real hole is the undocumented 'path' parameter and index-boundary 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 coverage is 0%, so the description must compensate. It explains body_chars (truncation length, max 20000) and indirectly explains include_secrets (masking is the default). However, 'path' is never given meaning — presumably the HAR file path — and 'index' is only described as coming from sibling tools, leaving its addressing semantics implicit. Partial compensation, not full.

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 resource and scope: full detail for exactly one request, then enumerates the returned facets (URL, status, timings, sizes, cache state, initiator, redirect chain, params, headers, body preview). It also distinguishes itself from siblings by naming find_requests and slowest_requests as the sources of the index it consumes.

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?

Clear workflow context: this is the drill-down step after find_requests or slowest_requests, which tells the agent when to reach for it. It stops short of explicit exclusions (e.g. 'use har_overview for aggregate stats instead') or what happens with an out-of-range index, so it is strong but not fully routing.

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 burden. It usefully discloses the default privacy behavior ('URLs are masked by default') and the interpretation hints for dominant phases, but says nothing about ordering guarantees, whether it reads an already-loaded HAR, or any size/perf limits. The masking disclosure is the main piece of genuine behavioral value.

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 tight three-sentence block that front-loads the core purpose and uses parenthetical examples efficiently. Slight redundancy in enumerating the seven timing phases, which the output schema likely already conveys, but nothing is bloated.

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?

An output schema exists, so the long enumeration of return fields is largely redundant, while the more consequential gap — what the required `path` argument means — is unaddressed. For a three-parameter read tool this is adequate but leaves a real ambiguity in the only required input.

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% across three parameters, so the description must compensate and it largely does not. It explains include_secrets only indirectly ('URLs are masked by default'), and leaves the required `path` parameter and `limit` completely undefined — an agent must guess whether path is a filesystem path, a URL, or an identifier.

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 with scope: 'List the slowest requests by total time', and further specifies the per-entry payload (timing breakdown plus dominant phase). It is clearly distinguishable from siblings like failed_requests or find_requests by its ranking criterion, 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?

Usage is only implied — the description suggests a performance-triage use case via the 'which phase dominates' framing, but never says when to choose this over waterfall, request_detail, or find_requests. No exclusions or preconditions 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, so the description carries the whole burden. It does disclose ordering, the phase legend, and that the critical path falls back to timing alone when initiators/redirects are absent, but it says nothing about truncation via max_rows, width clipping, or what include_secrets does — a security-relevant flag left entirely unexplained.

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 legend and critical-path definition are front-loaded and useful, but the single long run-on sentence mixes output format, phase codes, and a trailing note about the page parameter, making it harder to scan than necessary.

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 an output schema present the description need not explain return values, yet it spends most of its length on the visual format while leaving four of five parameters and the secrets-handling behavior unaddressed for a five-parameter HAR 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 0%, so the description must compensate, and it only covers one of five parameters (page). path, width, max_rows, and especially include_secrets are undocumented; the last is a redaction toggle that an agent could easily mis-set.

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 artifact: an ASCII timeline of the page load, one row per request in start order, plus DOMContentLoaded/load markers and a critical path. This is concrete enough to distinguish it from har_overview, though it never explicitly contrasts with siblings like slowest_requests or request_detail.

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?

Implies usage by naming har_overview as the source of page ids and noting page restricts to a single page load, but gives no explicit when-to-use versus when-to-pick-another-sibling guidance, and no exclusions.

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