fetcher

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

With no annotations provided, the description discloses key behaviors (RDAP, enriched mode, cost) but lacks details on return values, error conditions, or required authorization, leaving gaps for an agent to anticipate tool 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?

Extremely concise with two sentences; front-loads the main purpose and adds key details without redundancy. Every sentence 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 tool with 3 parameters and no output schema, the description covers the core functionality but lacks parameter definitions and return value description, making it minimally adequate for correct 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?

Description mentions 'enriched=true' which hints at the boolean parameter, but fails to explain the 'name' (required) and 'tlds' parameters, leaving critical semantics undocumented given 0% schema coverage.

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

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

Description clearly states the specific action ('Check domain availability') and resource ('across TLDs via RDAP'), and distinguishes itself from sibling tools like whois_lookup and dns_lookup by focusing on availability checking.

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

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

Provides contextual guidance about the enriched mode and cost structure, but does not explicitly state when not to use or compare with alternatives, which would improve selection accuracy.

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, but the description discloses key behaviors: parsing, answering permission, listing sitemaps, and pricing/rate limits. Missing details on return format or error handling, but sufficient for typical use.

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 efficient sentence plus parenthetical, with no fluff. All information is front-loaded and 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?

The description covers the main actions but lacks return format, edge cases (missing robots.txt), and parameter details. Given the lack of output schema and annotations, more completeness would be beneficial.

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 has 3 parameters with only 33% coverage (host has a basic description). The description does not add details for path or user_agent, leaving their format and constraints unclear. With low schema coverage, the description should compensate more.

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

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

The description clearly states the tool's actions: parse robots.txt, answer crawl permission, and list sitemaps. It uniquely identifies the resource and distinguishes from sibling web-intel tools like check_domain or dns_lookup.

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 clear context for when to use this tool (web intelligence, with pricing and free tier noted) but does not explicitly mention when not to use or compare to alternatives. Siblings are distinct enough (e.g., whois, dns), so usage is implicitly clear.

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

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

No annotations exist, so the description must disclose behavioral traits. It mentions pricing and payment method but omits details about output format, error handling, rate limits, or any side effects. The tool mutates no state, but an agent needs to know what 'changed' means and what to expect.

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

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

Two sentences: first clearly states purpose and result, second adds cost context. No filler, front-loaded, every word 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?

Given no output schema, the description does not explain the return format (e.g., diff text, JSON). It mentions 'return what changed' but lacks specifics. For a moderate-complexity tool with 2 params, this is a notable 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?

The schema describes url_a as 'Target URL or hostname' and url_b has no description. The description adds that if url_b is omitted, it compares to the latest Wayback snapshot, which clarifies the optional parameter's behavior. This adds significant meaning 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 clearly states the tool compares two pages or a page vs its latest Wayback snapshot, returning what changed. This specific verb and resource distinguishes it from sibling tools focused on single-page actions.

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 use when needing to identify changes between two URLs or against the Wayback, but does not explicitly mention when not to use or provide alternatives. It is clear enough for most contexts.

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 provided, so the description carries full burden. It discloses cost and free tier, and implies read-only behavior. However, it does not mention error handling, output format, or rate limits beyond the free tier.

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 functionality and pricing. Every phrase serves a purpose with no 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?

For a simple lookup tool, the description is adequate but lacks guidance on when to choose it over siblings (e.g., check_domain for availability, whois_lookup for registration info). No output schema or annotations, so some behavioral details are missing.

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

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

The single parameter 'host' is fully described in the schema as 'Target URL or hostname.' The description adds no additional semantic value, and schema coverage is 100%, giving a baseline of 3.

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

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

The description clearly states the tool returns a 'Full DNS record dump' for a host, listing all record types (A/AAAA/MX/NS/TXT/SOA/CAA/CNAME). This distinguishes it from siblings like whois_lookup or check_domain.

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 guidance on when to use this tool versus alternatives. The description does not mention when not to use it or refer to other tools (e.g., check_domain, whois_lookup) for related 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?

Discloses pricing and free tier cap, but lacks detail on behavioral traits like handling dynamic content, authentication requirements, or rate limits. With no annotations, more depth is expected.

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

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

Very concise: one sentence plus a pricing note. No unnecessary words, but could pack more useful information without adding length.

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?

Lacks explanation of return format (metadata fields), and with no output schema, agents may need to call and infer. However, for a simple extract tool with good sibling context, it meets minimum adequacy.

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% (only url has description). The description mentions output format ('clean Markdown + text') but doesn't clarify what each mode (markdown, text, full) produces, leaving agents to infer.

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?

Clearly states the tool extracts a page's main content as clean Markdown and text with metadata, distinguishing it from siblings like extract_pdf and render_page.

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 guidance on when to use this tool versus alternatives like extract_pdf (for PDFs) or render_page (for full page renders). Mentions pricing but not 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?

Discloses cost ($0.01/call), free tier (20/day), and type of PDF supported. However, with no annotations, it lacks details on error handling, rate limits beyond free tier, and output format. Adequate but not comprehensive.

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?

Single sentence with core purpose followed by pricing in parentheses. Front-loaded and efficient with no unnecessary words.

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?

Minimally adequate for a simple tool: explains purpose, type, and cost. Lacks details on output, error behavior, and page limit parameter. Average completeness given 2 parameters and no 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?

Schema description coverage is 50% (only 'url' has a generic description). The description adds no information about parameters beyond the schema, failing to compensate for the low coverage especially for 'max_pages'.

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?

Clearly states verb 'Extract' and resource 'PDF URL', with qualifier 'text-based PDFs' to distinguish from scanned PDFs. Differs from sibling 'extract_content' which targets web pages.

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 guidance on when to use this tool versus alternatives like 'extract_content'. The qualifier 'text-based PDFs' implies limitations but does not address when not to use or mention other sibling tools.

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 fully disclose behavior. It mentions cost and free tier but fails to explain what happens if no favicon is found, return format, or potential failure modes. This is minimal behavioral context for a tool with no annotations.

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 concise sentence with a parenthetical cost note. Every word serves a purpose with no redundancy or 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?

Given the tool's simplicity (one parameter, no output schema, no annotations), the description is adequate but incomplete. It lacks details on error handling, output format (URL vs base64), and whether it supports various site types.

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 one parameter 'host' described as 'Target URL or hostname.' The description adds no parameter-specific detail beyond the schema, meeting the baseline for high coverage.

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

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

The description clearly states the tool's purpose with a specific verb ('Find') and resource ('a site's best icon/logo'). It distinguishes itself from sibling tools like 'render_page' or 'unfurl_url' by focusing specifically on favicon/logo extraction.

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

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

No explicit guidance on when to use this tool versus alternatives. The description implies usage for web intelligence tasks via the '(web-intel)' tag and cost info, but lacks exclusion criteria or comparisons to siblings like 'check_domain' or 'extract_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?

With no annotations provided, the description carries full burden. It discloses output format (SVG) and cost/daily limits, adding value beyond the schema. However, it omits details on error conditions, authentication, or behavior for different input types beyond 'text or URL'.

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 extremely concise: one sentence stating purpose and output format, plus a parenthetical note on cost. No extraneous words, well front-loaded.

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

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

For a simple tool with 2 parameters and no output schema, the description covers purpose and output format but fails to explain the 'ecc' parameter or provide examples. The cost info is helpful but not essential for tool invocation. General completeness is adequate but has 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 explains the 'data' parameter (text or URL) but does not mention the 'ecc' parameter at all. The schema provides an enum but no context, leaving the agent without guidance on error correction level.

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

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

The description clearly states the tool generates a QR code in SVG format for text or URLs. The verb 'Generate' and resource 'QR code (SVG)' are specific, and the tool is unique among siblings which focus on web/domain checks.

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 mentions the utility nature and cost (utility; $0.002/call, 50 free/day) but does not provide explicit guidance on when to use versus alternatives. Since siblings are unrelated, usage is implied but not formally 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 must disclose behavioral traits. It mentions pricing but does not state whether the operation is read-only, required authentication, rate limits, failure modes, or the structure of the returned JSON. The implicit read-only nature (discovering) is not explicitly confirmed.

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 concise (two sentences) with no superfluous words. The first sentence captures the core purpose. The second sentence adds pricing, which is extra but not essential. Could be slightly more compact, but overall very efficient.

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

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

Given the tool's simplicity (2 params, no output schema), the description is mostly adequate but lacks details on expected input format (e.g., full URL vs hostname), behavior on invalid feeds, and output structure (e.g., JSON fields). It also does not help the agent decide between this and similar siblings.

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

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

Schema coverage is 50% (only 'url' has a description). The description does not add any parameter details beyond the schema, particularly for 'limit' which has no schema description. The description should explain what 'limit' controls (e.g., max items).

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

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

The description clearly states the tool's purpose: 'Discover and parse a site's RSS/Atom feed into JSON items.' It uses a specific verb (discover and parse) and resource (RSS/Atom feed), and distinguishes it from sibling URL tools (e.g., extract_content, check_domain) which are not feed-focused.

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 tool is for parsing RSS/Atom feeds, which differentiates it from siblings. However, it does not explicitly state when to use this over alternatives or mention any prerequisites or exclusions.

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

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

No annotations provided, so description must cover behavior. It mentions pricing ($0.002/call, 50 free/day) which is valuable, but does not disclose network behavior, authentication needs, or response limits. Some behavioral context is provided but not comprehensive.

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

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

Two sentences: first clearly states purpose, second adds pricing info. No fluff, front-loaded. Every sentence 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 output schema, so description should explain return format. It says 'Rich embed (oEmbed) data' but lacks detail on structure (e.g., JSON fields). For a simple one-param tool, this is adequate but not 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?

Parameter 'url' is 100% covered by schema description, so baseline is 3. The tool description adds context about supported media URLs but also introduces ambiguity by allowing 'hostname' in schema, which may not work for oEmbed. Adds some value but could be clearer.

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?

Description clearly states it provides 'Rich embed (oEmbed) data for a media URL' with specific examples (YouTube, Vimeo, X, Spotify). This distinguishes it from siblings like unfurl_url which may provide other metadata.

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 guidance on when to use this tool vs alternatives. The listed platforms hint at suitability, but no when-not conditions or comparisons to sibling tools 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 burden of behavioral disclosure. It reveals the return format (risk score + reasons), the limitation (not a guarantee), and even pricing (USDC via x402, 30 free/day). This is valuable context beyond the schema, though it doesn't detail the risk score scale or deep parameter behavior, which are adequately covered by the schema.

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

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

The description is exactly two sentences, front-loaded with the core purpose, followed by output/limitation and then pricing. Every sentence adds distinct, useful information with no redundancy. This is a model of concise, well-structured tool documentation.

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 simplicity (two params, one required, no output schema), the description is remarkably complete. It covers the use case, the output, the limitation, and the cost model. Combined with the schema's full parameter descriptions, an agent has enough information to decide when and how to call this tool 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%, so baseline is 3. The description does not add new meaning to parameters; it only aligns with the schema's 'text' field as untrusted content. Since the schema already fully describes both parameters, the description's lack of parameter detail is acceptable.

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

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

The description clearly states the tool's function: 'Screen untrusted content for prompt-injection/manipulation before your agent trusts it.' It specifies the resource (untrusted content) and the action (screening), and differentiates from sibling URL/reputation tools by focusing on content-level security analysis.

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 clear usage context: use this when handling untrusted text content (web pages, emails, tool output) before trusting it. It also adds a caveat ('a screening signal, not a guarantee') that helps set expectations. Though it doesn't explicitly mention alternatives, the distinct purpose makes it evident when to choose this tool over siblings.

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

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

With no annotations provided, the description carries the full burden of disclosure. It reveals that the tool decodes transactions, flags specific risk types, and returns a risk verdict plus reasons. It also transparently mentions the cost per call and free tier. This is good behavioral context, though it doesn't cover edge cases like error handling or privacy implications.

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 concise and front-loaded with the core purpose ('Pre-sign wallet firewall'). It packs key details into one sentence with an appended cost/free-tier note. No redundant words; every part adds value.

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 tool has 5 parameters, 1 required, no output schema, and no annotations. The description explains the high-level purpose and return value ('risk verdict + reasons') but does not specify input semantics or provide examples. For a security-critical transaction tool, more detail on how the parameters interact would improve completeness. It is adequate, but gaps remain.

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

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

Schema description coverage is only 40% (data and value have descriptions; to, from, chain do not). The description does not compensate by clarifying the transaction parameters or their formats. It mentions 'decode a transaction' but not what 'to', 'from', 'chain' mean or how they are used. Since coverage is low and the description adds no parameter-specific meaning, the agent is left under-informed.

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

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

The description clearly states the tool's function: 'Pre-sign wallet firewall: decode a transaction and flag unlimited approvals, setApprovalForAll, scam addresses, and spend-cap breaches before signing.' It uses a specific verb ('decode') and identifies the resource ('transaction') and the outcome ('risk verdict'). This distinguishes it from sibling tools like check_domain or render_page, which deal with web/content inspection.

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

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

The description explicitly says 'before signing', giving a clear time/context for use. It also mentions the security purpose and cost, which helps the agent decide whether to invoke it. However, it does not name alternative tools or state when not to use it, so it stops short of a full 5.

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

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

With no annotations, the description carries full burden. It states the tool fetches HTTP headers and performs security analysis, but lacks details on error behavior, permissions, rate limits beyond free tier, or whether it modifies anything. Basic behavior is clear but not comprehensive.

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 concise sentence plus a parenthetical pricing note. No redundant information; every part adds value.

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 single-parameter tool without output schema, the description adequately explains the main function. However, it lacks details about the output format (e.g., JSON structure of headers), which would enhance completeness.

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 one param 'url' described as 'Target URL or hostname.' The description does not add additional meaning (e.g., protocol requirements, formatting). Baseline 3 is appropriate as the schema already handles parameter 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?

The description clearly states the specific verb ('inspect/analyze') and resource ('HTTP response headers + security-header analysis') for a URL. It distinguishes itself from sibling tools like 'check_domain' or 'ssl_lookup' which cover different aspects.

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 mentions pricing and free tier ('$0.002/call ... 50 free/day'), hinting at usage context, but does not explicitly state when to use this tool over alternatives or give exclusions. No guidance on prerequisites 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?

No annotations are provided, so the description carries the full burden. It discloses that it uses a real browser, returns specific outputs, and costs money. However, it does not mention timeouts, resource limits, or error handling 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?

The description is a single sentence that packs purpose, output types, and pricing. It is efficient but could be slightly clearer by separating pricing info or adding bullet points for readability.

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 16 sibling tools, more context is needed. The description distinguishes by mentioning real browser and specific outputs, but lacks guidance on when to use this vs. others, and does not fully describe return value structure (e.g., format of HTML/text).

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 33% (only url has description), and the description only adds that url is a target URL/hostname. The full_page and screenshot parameters are not explained; the description hints at screenshot via 'optional screenshot' but gives no details on usage or effect.

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

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

The description clearly states the tool renders a JavaScript page in a real browser and returns rendered HTML, text, and an optional screenshot. This specific verb-resource combination distinguishes it from siblings like screenshot_page or extract_content, which have different outputs.

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 includes pricing and free tier info, but lacks explicit guidance on when to use this tool versus alternatives such as screenshot_page or extract_content. It does not mention prerequisites or exclusions.

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

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

With no annotations, the description carries full burden. It declares the tool follows the full redirect chain and returns final URL, hops, and metadata. This is appropriate for a read-only web intelligence tool. No contradictions.

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 effective sentences: one for purpose and output, one for cost context. No fluff, every word earns its place. Front-loaded with the core action.

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

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

For a simple tool with one parameter and no output schema, the description covers the purpose, return values (final URL, hops, metadata), and cost model. It lacks details like pagination or error behavior, but is sufficient for basic selection and 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 100% for the single parameter 'url.' The description adds context about the tool's operation (following redirects) but does not add new meaning beyond the schema's 'Target URL or hostname.' Baseline score 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 uses specific verbs and resources: 'Follow a URL's full redirect chain; return final URL, hops, and metadata.' It clearly distinguishes from siblings like unfurl_url (which may not follow full chain) or check_domain (which checks domain properties). The action and output are explicitly 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?

The description includes context about pricing and free tier ('web-intel; $0.003/call... 50 free/day'), which helps an agent assess cost. However, it does not specify when to use this tool versus alternatives like unfurl_url or check_domain, nor does it mention prerequisites or exclusions.

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

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

No annotations provided, so description must bear full burden. It discloses 'real browser' and pricing, but lacks details like page load behavior, JavaScript support, error handling, or return format specifics (e.g., image dimensions).

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 essential information. Pricing info, while useful, could be relegated to annotations, but overall it is concise 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?

Given no output schema and low schema coverage, the description falls short. It does not explain how to specify image format (PNG vs JPEG), quality, viewport settings, or expected return structure, making it incomplete for a 2-param 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 coverage is 50%: 'url' has a basic description; 'full_page' has none. The description adds no parameter-level meaning beyond the schema, so 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 clearly states the verb (screenshot), resource (page), and output format (base64 PNG/JPEG). It also notes it uses a real browser, but lacks explicit differentiation from sibling tools like 'render_page'.

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 tool versus alternatives such as 'render_page' or 'extract_content'. Pricing is mentioned but not 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?

No annotations are provided, so the description carries the full burden. It discloses the tool uses CT logs (implying non-destructive read), and explicitly includes pricing and free tier ($0.004/call, 40 free/day). This adds valuable behavioral context beyond the schema.

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

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

The description is extremely concise—one sentence with a parenthetical for pricing. Every part is informative and no wasted words.

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 tool with one parameter and no output schema, the description is nearly complete. It names the returned fields (issuer, expiry, SANs), the data source (CT logs), and cost. A minor gap is lack of pagination or volume limits beyond the free tier.

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

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

Schema coverage is 100%, so baseline is 3. The description adds no additional meaning for the 'host' parameter beyond the schema's 'Target URL or hostname.' No improvement over schema is provided.

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

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

The description clearly states the tool retrieves TLS certificate details (issuer, expiry, SANs) via Certificate Transparency logs. It uses specific verbs and resources, and the detail distinguishes it from sibling tools like DNS or WHOIS lookups.

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 explicit guidance on when to use this tool versus alternatives. It only describes what it does, leaving the agent to infer appropriate usage from the sibling 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 provided, so the description must cover behavioral aspects. It discloses the output structure and cost, but lacks details on error handling, restrictions, or behavior for malformed URLs. The mention of 'content; $0.003/call' adds some transparency about cost.

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?

Single sentence plus brief pricing note. No unnecessary words, front-loaded with key output info. Excellent conciseness.

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

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

Given no output schema, the description adequately explains the return values (title, description, image, favicon) and cost. Could be more complete on error handling or format specifics, but sufficient for basic use.

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 covers 100% of parameters with a clear description for 'url'. The tool description adds no further meaning beyond the schema, so 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 clearly states what the tool does: returns a link preview card with title, description, image, and favicon for any URL. It effectively distinguishes from sibling tools like 'extract_content' or 'render_page' by specifying the specific preview 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 tool versus alternatives like 'check_domain' or 'resolve_url'. The description includes pricing but does not clarify scenarios or prerequisites for usage.

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 the method (RDAP), depth ('deep'), and importantly includes pricing and rate limits ($0.005/call, 40 free/day), which aids agent decision-making.

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 concise, with a single sentence covering purpose and a parenthetical for cost. No wasted words, though it could be slightly expanded for parameter clarity.

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 lookup tool with one parameter and no output schema, the description provides key output fields and cost context. It lacks error handling or example values, but is adequate.

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% and the description does not explain the 'domain' parameter's meaning or format. Although contextually implied, the lack of explicit guidance (e.g., 'full domain name, no protocol') is a gap.

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

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

The description clearly states it performs a 'deep domain registration record via RDAP' and lists specific data points (registrar, dates, nameservers, DNSSEC), clearly distinguishing it from sibling tools like dns_lookup and ssl_lookup.

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 provided. The description implies usage for registration details but does not compare with siblings or mention scenarios like other record types.

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