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

With no annotations provided, the description carries full burden. It discloses deterministic behavior, timezone awareness, and handling of DST transitions and DOM/DOW OR-logic. It does not mention error handling or limits (beyond schema constraints), but the key behavioral traits are well covered.

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

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

The description is two sentences: first sentence defines the tool's function, second provides motivation and warns against common mistakes. Every sentence adds value, no repetition, and the key information is 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?

Given no output schema and moderate complexity (4 params, 1 required), the description adequately explains what the tool returns (next N fire times) and key behaviors. It could optionally mention error handling for invalid expressions, but overall it is complete enough for an agent to use correctly.

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

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

Schema coverage is 100%, so baseline is 3. The description adds value by explaining that the expression can be '5 or 6 field, seconds optional' and that the tool is 'timezone-aware', which gives context beyond the schema fields. This justifies a score above 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 it is a 'Deterministic cron expression validator and scheduler' that 'parses a cron expression... and computes the next N actual fire times'. The verb 'validates and schedules' combined with specific resource (cron expression) makes purpose unambiguous. No sibling tool overlaps, so differentiation is implicit.

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 advises 'Use this instead of guessing' and explains that cron semantics are 'routinely miscalculated', providing clear context for when to use. It does not explicitly list when not to use, but the positive guidance is strong. No alternative tools are mentioned, but sibling list shows no related cron 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 carry the full burden. It states 'Live lookups - not cached,' which is a key behavioral trait. However, it does not disclose whether the operation is safe (read-only), any rate limits, or potential side effects, leaving some gaps.

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

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

The description is two sentences long, front-loads the core action, and every sentence adds information. No filler or redundancy.

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

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

Given the absence of an output schema, the description adequately describes the returned record types and even mentions parsing SPF/DMARC. It does not cover error handling or timeouts, but for a DNS lookup tool, the provided information is sufficient for correct usage.

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 adds minimal value beyond the schema: it implies the 'types' parameter defaults to all in the first sentence ('returns A, AAAA... in one call'), but the schema already provides that default. No additional nuance for the 'domain' parameter.

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 explicitly states it performs a full DNS record lookup for a domain, listing all record types (A, AAAA, MX, etc.). It clearly distinguishes from sibling tools, which include unrelated utilities like cron_next, email_check, etc., so there is no ambiguity.

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 specific use cases: 'infrastructure audits, email deliverability setup, domain verification, and security checks.' While it does not explicitly state when not to use it or mention alternatives among siblings, the guidance is clear and relevant given the 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?

Since no annotations are provided, the description carries the full burden and does an excellent job disclosing behavioral traits: it performs a live MX lookup with A/AAAA fallback, disposable-domain detection, and typo suggestions, and clarifies it does not send anything. 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?

The description is two sentences long, front-loaded with the core purpose, and every sentence adds value. It is appropriately sized and 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?

Without an output schema, the description should ideally hint at the return format or result of the check. It does not mention what the user can expect as output (e.g., a boolean, a structured result). For a simple tool, this is a moderate 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 already describes the single parameter 'email' as 'The email address to check.' with 100% coverage. The description adds value by explaining what checks are performed, but does not add specific parameter semantics beyond what the schema provides. However, the context is sufficient for correct usage.

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's a deliverability probe for an email address, listing specific checks such as syntax validation, MX lookup, disposable-domain detection, and typo suggestions. It distinguishes itself from siblings like 'name_check' and 'url_check' by focusing on email validation.

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 notes that it performs checks 'without sending anything' and that it's a live check that LLMs cannot do, implying when to use this tool. However, it does not explicitly state when not to use or provide alternatives among 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?

No annotations, so description carries full burden. Discloses determinism with seed, supported formats and types, and row limit. Lacks return format details but acceptable for test data generator.

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 and a list, front-loaded with purpose, no wasted words. Efficient and clear.

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 4 params (nested), no output schema, and no annotations, description covers purpose, benefits, determinism, formats, types. Minor gap: no error handling mention, but not critical for this 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 100%, so baseline 3. Description adds value by summarizing cost, determinism, and type list, but does not add new parameter-level meaning beyond 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?

Clearly states 'Bulk realistic test data' with verb 'generate', specifies resource 'rows from a field schema', and explicitly distinguishes from alternative 'generating rows with tokens' by cost advantage.

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 context on when to use (bulk test data, cheaper alternative), but no explicit when-not or alternatives to sibling tools. However, sibling tools are unrelated, so guidance is adequate.

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 description must disclose effects. Only states 'Delete a key' but omits whether deletion is permanent, requires permissions, or behavior on missing keys.

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 succinct sentence with no unnecessary words. Front-loaded purpose.

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. Critical missing context: idempotency, error handling, security implications. Inadequate for a destructive operation.

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

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

Schema already describes both parameters (100% coverage). Description adds no extra meaning beyond what schema provides.

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?

Clear verb (Delete) + resource (key from namespace). Distinguishes from sibling tools like kv_get, kv_set, kv_list.

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

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

No guidance on when to use vs alternatives. Lacks exclusion criteria or context about when delete is appropriate (e.g., key existence checks).

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 full burden. It discloses key behavioral traits: 'Returns found=false if missing or expired', which adds critical insight beyond the schema. It does not discuss auth or rate limits, but for a simple read operation this is adequate.

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 with no wasted words. It front-loads the purpose and includes the key behavioral detail, efficiently conveying all necessary information.

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

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

Despite no output schema, the description explains the return behavior for missing/expired keys, which is helpful. It could be more complete by describing the value field type when found, but given the tool's simplicity and sibling context, it is fairly complete.

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

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

Schema description coverage is 100% with both parameters described. The description does not add extra meaning beyond the schema; it reiterates the operation context (namespace as 'access key'). Baseline of 3 applies.

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

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

The description clearly states 'Retrieve a value previously stored with kv_set', specifying the verb 'Retrieve' and resource 'value', and distinguishes from sibling tools like kv_set, kv_delete, kv_list by naming kv_set explicitly.

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

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

The description implies usage when a previously stored value needs to be read. It does not provide explicit when-not or alternatives, but sibling names (kv_set, kv_delete, kv_list) serve as natural distinctions, offering clear context.

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

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

With no annotations, the description carries the burden. It discloses the return limit of 100 keys and optional prefix filtering, which are key behavioral traits. However, it does not mention whether the listing is paginated, consistent, or sorted, nor does it indicate read-only nature (implied but not explicit).

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

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

A single, front-loaded sentence that directly states the tool's action and constraints. Every word earns its place; no filler or redundancy.

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

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

The description adequately covers core functionality for a simple listing tool. It does not specify the return format (e.g., array of keys) or pagination beyond max results, but these are reasonable omissions given the tool's simplicity and lack of output schema. Slightly better completeness would include response structure.

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 67% (2 of 3 params documented). The description adds value to the 'limit' parameter by linking it to the 100-key maximum, but for 'prefix' and 'namespace' it adds little beyond the schema's own descriptions. No parameter semantics are contradicted or clarified further.

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 lists keys in a namespace with optional prefix filtering. It distinguishes itself from sibling tools like kv_get (retrieve specific key) and kv_set (set value) by focusing on enumeration. No tautology or ambiguity.

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. For instance, it doesn't state that kv_list is for listing keys while kv_get retrieves a specific key's value. The agent must infer from context, which may lead to misuse without clear differentiation.

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 durability, TTL defaults and limits, value type and size constraint, and max keys per namespace. Missing details on overwrite behavior and return value, but sufficient for a setter.

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 paragraph front-loaded with purpose, followed by constraints. Every sentence adds essential information without redundancy.

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

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

Covers durability, TTL, value constraints, and namespace limit. Lacks response or overwrite behavior, but acceptable for a simple setter 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?

Adds meaning beyond schema: specifies value max 8192 bytes, TTL defaults to 30 days and max 90 days, recommends long unique namespace. With 100% schema coverage, baseline is 3; description provides useful extra context.

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 explicitly states it stores a value durably with TTL under namespace/key, mentioning it serves as memory across stateless runs. This clearly distinguishes it from sibling tools like kv_get, kv_delete, etc.

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 usage for persistent key-value storage but does not explicitly contrast with alternatives or state when not to use. No direct guidance on selecting this tool over others.

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

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

With no annotations provided, the description carries full burden. It discloses that checks are live (real registry lookups), covers the specific registries checked, and provides a caveat about domain status ambiguity. It does not mention rate limits, error handling, or return format, but given the tool's simplicity, it is reasonably transparent.

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 states purpose and scope, second adds an important caveat. Every sentence is essential; no redundancy. Information is front-loaded efficiently.

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

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

No output schema provided, so the description should help infer return values. It does not describe the response structure or what happens when a name is taken. While the parameter details are clear, the lack of return information limits completeness for an agent, especially for a multi-registry check.

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 context beyond the schema by clarifying the name parameter should be a bare name (no TLD) and explaining the default TLDs and targets. The caveat about domains not being final also adds value.

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 tool performs a live availability check for a name across multiple registries (domains via RDAP, npm, PyPI, GitHub). This distinguishes it from sibling tools like dns_query or url_check, which serve different purposes.

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

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

The description notes that checks are real lookups (not guesses) and warns that unregistered domains may still be reserved or premium-priced. However, it does not explicitly state when to use this tool versus alternatives, nor does it specify when not to use it (e.g., needing a final registrar checkout).

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 reveals that patterns run sandboxed with a 250ms kill switch for catastrophic backtracking and specifies the JavaScript (ECMAScript) dialect. It does not detail error handling on timeout or failure, but the safety mechanism is well communicated.

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 three sentences, each serving a distinct purpose: stating the action and output, emphasizing the deterministic nature, and noting sandboxing and dialect. It is front-loaded and contains no superfluous 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?

The description covers the tool's core function, return contents (match text, indices, groups), safety features, and dialect. Without an output schema, it could explicitly describe the output structure, but the listed attributes provide sufficient context for a regex testing tool. It is missing mention of input constraints (already in schema) and example scenarios, but overall it 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 100%, but the description adds value by clarifying that replacement supports $1 and $<name> substitution syntax, which is not in the schema. It also reinforces the behavior of returning match details, though this is more about output than parameters. The extra guidance on replacement patterns raises the score above the 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 explicitly states it executes a regex against test strings and returns actual matches including text, indices, capture groups, named groups, and optional replacement output. It clearly distinguishes itself from sibling tools which are unrelated (cron, dns, kv, etc.), making its purpose unambiguous.

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

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

The description advises using this tool 'before shipping a pattern' and emphasizes deterministic proof over prediction. While it does not explicitly list when not to use or alternatives, the sibling tool list shows no other regex tools, so the usage context is clear and appropriate.

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, and the description does not disclose behavioral traits such as side effects, required permissions, or what happens if the timer does not exist. This is insufficient for a mutation tool.

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

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

The description is very short and front-loaded, with one sentence that delivers the core purpose. However, it could be slightly expanded to include necessary context without becoming verbose.

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 low complexity (one parameter, no output schema), the description provides the minimum viable information but misses important details like error handling, confirmation of cancellation, and the definition of 'pending'.

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

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

The input schema has 0% description coverage for the 'id' parameter, and the description only says 'by id' without explaining the source or format of the id. The description does not compensate for the missing schema descriptions.

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 action 'Cancel' and the resource 'pending timer' with the method 'by id'. It distinguishes this tool from siblings like timer_schedule and timer_status.

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 is given on when to use this tool versus alternatives such as timer_schedule or timer_verify_origin. The description lacks context on prerequisites or usage scenarios.

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

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

No annotations provided, so description carries full burden. Discloses POST mechanism, origin verification requirement, delivery attempts with backoff, and limits (delay 10s-30d, payload 8192 bytes). Does not cover error handling or idempotency, but main behavioral traits are covered.

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 with no redundant words. Each sentence adds essential information: action, use case, prerequisite, constraints. Perfectly 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?

Given 4 parameters, no nested objects, no output schema, the description covers the tool's purpose, mechanism, prerequisites, and constraints. Lacks return value details but acceptable without output schema. Adequate for agent to use 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 has 100% coverage with descriptions, so baseline is 3. Description adds value by explaining alternative use of fire_at/delay_seconds and reiterating payload max and delay range, reinforcing constraints and behavior.

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 it schedules a durable callback that POSTs a payload at fire time. Distinguishes from sibling timers (cancel, status, verify) and explains why use it over self-calling (agents cannot wake themselves).

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

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

Explicitly says to use for waking future runs of yourself or orchestrator, and notes prerequisite (timer_verify_origin). Constraints like delay range and payload size are given. Does not explicitly list when not to use, but sibling names provide context.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a read-only query by using the verb 'Check', but it does not explicitly state side effects, authentication needs, rate limits, or what happens if the timer ID is invalid. The listed return fields provide some transparency but leave significant gaps.

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

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

The description is a single, front-loaded sentence that efficiently conveys the core functionality and key return fields. Every word adds value; no unnecessary repetition 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?

The description lists the main return fields (status, attempts, last error) which is adequate for a simple query tool. However, it does not mention error conditions, behavior for nonexistent timers, or any additional fields that might be returned. With no output schema, more detail would be beneficial for full 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?

The input schema has one required parameter ('id' of type uuid) with 0% description coverage. The tool description does not add any meaning to this parameter—it does not explain what the ID represents (e.g., timer ID), its format, or how to obtain it. With low schema coverage, the description should compensate but fails to do so.

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 tool checks a timer and lists the specific status values (pending, delivering, delivered, failed, cancelled) along with other fields like attempts and last error. This is a specific verb+resource combination that distinguishes it from siblings like timer_schedule (which creates) and timer_cancel (which cancels).

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. The description does not mention preconditions (e.g., timer must exist), when not to use it, or which sibling tools might be more appropriate 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?

No annotations present, so description carries full burden. It details the POST payload, expected response, and that verification covers the whole origin (scheme+host). No mention of side effects, but sufficient for a handshake.

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, each providing essential information without redundancy or 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?

Given the tool's low complexity (one required parameter, no output schema), the description fully explains purpose, behavior, and endpoint expectations.

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

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

Input schema has 100% coverage for the single parameter 'url'. Description adds meaning by specifying the POST payload type and token, and that verification covers the whole origin, going beyond 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 it is a 'One-time consent handshake before timers can deliver to an origin' and explains the POST operation with token, distinguishing it from sibling timer tools.

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 indicates it is needed before setting timers that deliver to an origin, providing clear context of use but not explicit when-not-to-use or alternatives.

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

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

No annotations exist, so the description carries full burden. It discloses determinism, DST awareness, and exact results. It also specifies the output includes converted time, UTC offsets, and DST status. However, it lacks information on edge cases (e.g., ambiguous DST fallback times) and potential errors.

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 succinctly convey the tool's purpose, unique value, and output. No unnecessary words; 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?

Given the complexity (3 parameters, timezone conversion) and absence of an output schema, the description adequately covers purpose, inputs, and return values (converted time, offsets, DST flag). It also addresses a key use case (DST correction). However, it omits handling of edge cases like ambiguous or invalid datetimes.

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 clear descriptions for each parameter (e.g., 'datetime', 'to', 'from') and examples. The description adds overall context ('deterministic', 'DST awareness') but does not enhance parameter meaning beyond the schema, which already provides adequate details.

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

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

The description clearly states the tool converts timestamps between IANA timezones with full DST awareness, using a specific verb ('convert') and resource ('timestamp'). It distinguishes itself from the sibling tool 'tz_info' by focusing on conversion and highlighting that it addresses common LLM miscalculations of DST transitions.

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 usage for exact timezone conversion with DST awareness but does not explicitly state when to use this tool versus alternatives (e.g., tz_info) or when not to use it. No exclusions or alternative recommendations are provided.

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?

Thoroughly discloses behavior: describes all returned fields (UTC offset, DST active, transition dates exact to hour, abbreviation). No annotations provided, so description carries full burden and meets it well.

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

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

Two sentences, front-loaded with 'Timezone intelligence,' no redundant or extraneous 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?

With no output schema, the description fully explains what the tool returns, covering all necessary details for a simple query tool. Sibling tools are not needed for 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% so baseline is 3; the description does not add new semantic details about parameters beyond what the schema already provides (timezone as IANA, date as ISO 8601 with default).

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

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

The description uses a specific verb 'returns' and lists concrete resources (UTC offset, DST status, transition dates, abbreviation), clearly distinguishing it from sibling tz_convert which converts times.

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

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

Explicitly states 'Use this to understand DST behavior before scheduling,' giving a clear when-to-use context, though it does not explicitly mention when not to use or contrast with tz_convert.

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 convey behavioral traits. It does so by stating that the tool 'follows the full redirect chain (each hop reported)' and that data is 'Fresh at call time.' It also lists the outputs, giving a good sense of what the tool does. It could elaborate on error handling or rate limits, but overall transparency is strong.

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

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

The description is two sentences long and front-loaded with the core purpose. Every word adds value, making it highly efficient and easy to scan.

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 that the tool has only one parameter and no output schema, the description adequately explains the return values (status, content type, response time, TLS info, access hints). It could mention possible error conditions or the format of the redirect chain, but overall it provides sufficient context for an agent to understand what the tool returns.

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

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

The input schema has 100% coverage with a description for the single parameter 'url' that specifies it should be an https URL. The main description adds context about the health check but doesn't significantly extend the parameter semantics beyond the schema. 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 clearly states the tool's purpose as a 'Live URL health check' and lists the specific outputs (redirect chain, status, content type, etc.). It uses a specific verb ('check') and resource ('URL'), making the purpose unambiguous.

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

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

The description provides explicit usage guidance: 'use it to verify links before citing them.' This clearly indicates when to use the tool. However, it doesn't explicitly mention when not to use it or list alternatives, though sibling tools are distinct enough to avoid confusion.

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