Time-sortable id shape

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

No annotations are present, so the description must carry the burden of explaining side effects. It only mentions 'Returns connection methods' and discarding inputs, but does not state whether the tool is read-only, modifies any state, or has other behavioral characteristics. The safety profile is unclear.

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 no fluff. It is well-structured and easy to read, though it sacrifices clarity for brevity.

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 lacks essential context. With 9 optional parameters and no output schema, the agent cannot infer the expected input format, the relationship between parameters and the returned 'connection methods', or the criteria for selecting this tool. The description is too incomplete for reliable 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?

Each of the 9 parameters has a description, achieving full schema coverage. However, the descriptions are cryptic (e.g., 'discarded after the shape check' or 'discarded after the length check') and do not clearly explain how the parameter contributes to the tool's purpose. The semantics are only partially conveyed.

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

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

The description states it 'finds a public pay-per-call tool gateway' and mentions example tasks, but the verb 'find' and resource are vague. More critically, the provided parameters (city, URL, file path, etc.) do not align with the described purpose, leaving the agent unsure what the tool actually does.

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 usage guidance is provided. The description does not indicate when to use this tool versus any of the 27 sibling tools, nor does it explain the intended invocation context or prerequisites.

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

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

With no annotations, the description carries the full disclosure burden. It does add one useful behavioral fact — 'Page content is not stored' — which addresses a real privacy/retention concern. However, it does not disclose the tool's behavior for the json and zone inputs, nor any network-fetch side effects beyond the implication of an HTTP status check.

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 short sentences with no filler and front-loads the primary behavior. It earns points for efficiency, though it trades away completeness of the tool's multi-function scope.

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 plus 100% schema coverage is sufficient for an agent to invoke the URL-citation mode correctly, but the json and zone modes rely entirely on schema text. With no output schema and no usage guidance for a multi-purpose tool, the description leaves meaningful gaps around when and how to use those modes.

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

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

Schema description coverage is 100%, so the schema already documents all four parameters. The description adds no extra meaning about parameter formats, combinations, or constraints, but the baseline of 3 is appropriate since the schema does the heavy lifting.

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

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

The description states a specific action ('Return host, scheme, and HTTP status for a URL'), which clarifies the otherwise ambiguous tool name 'citation'. However, the input schema accepts json and zone parameters, indicating additional behaviors (JSON validation and timezone checks) that the description completely omits, so the stated purpose is incomplete.

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

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

There is no guidance on when to use this tool versus the sibling tools (validate-json, timezone, etc.), nor any mention of which parameter combinations are appropriate. The description implies a URL-citation use case but provides no exclusions or alternatives, which is especially problematic since the tool has multiple unrelated parameters and zero required parameters.

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?

Annotations are absent, but the description explicitly discloses a key behavioral trait: no identifiers are retained. This is very useful for privacy/security considerations. However, it doesn't describe the response format or any other side effects; for a classification tool, this might be enough.

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

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

Two short sentences, no fluff, and the most important behavioral constraint ('No identifiers are retained') is stated. Perfectly sized.

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 classification tool with 4 optional parameters and no output schema, the description is adequate. It could benefit from saying what the output looks like (e.g., a classification label) or providing an example, but given the schema already documents all parameters, this is a marginal gap.

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

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

Schema description coverage is 100%, so the schema already documents all four parameters. The description doesn't add additional meaning to the parameters. 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 is clear and concise: it says what the tool does ('Show how this request is classified') and explicitly states a critical behavioral constraint: 'No identifiers are retained.' This distinguishes it from tools that might store or use request data.

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 doesn't provide guidance on when to use this tool vs alternatives. It doesn't say when to use it (e.g., 'for classification of a request') nor when not to use it. The context is implied but not explicit.

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?

There are no annotations, so the description carries the burden of disclosing behavior. It does add the useful limitation that the tool does not provide WHOIS/ownership data, but it does not state the output shape, whether it validates its input, or how it treats the JSON/timezone parameters.

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

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

A single sentence that states the operation and a key constraint. There is no filler and the core behavior 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?

For a tool with four optional parameters and no output schema or annotations, the description is too thin. It does not explain which input fields are used, what the returned labels look like, or how the unrelated url/json/zone parameters fit into a hostname-splitting 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 coverage is 100%, so each parameter already has a description. The tool description does not add parameter-level meaning, but with full schema coverage the baseline of 3 is appropriate; it neither helps nor hurts the agent's understanding of which parameter to fill.

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

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

The description uses a specific verb and resource: it splits a hostname into labels, and adds a clear exclusion ('without WHOIS or ownership data'). This is understandable and does not merely restate the tool name, though it does not compare itself to the sibling 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?

There is no explicit guidance on when to use this tool instead of the sibling tools, and no condition or alternative is named. The 'without WHOIS or ownership data' phrase weakly implies a non-enrichment scope, but an agent cannot determine whether this should be preferred over normalize-url or validate-json.

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 only states that the tool contains common timezone names; it does not say whether the tool returns a list, validates input, or how it behaves when called. The connection between the tool's purpose and its four parameters is entirely unexplained.

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

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

The description is short and front-loaded with no filler words, but it is under-specified rather than efficiently complete. It states a topic without describing the operation or behavior, so brevity does not translate into usefulness.

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 four loosely related parameters, no required fields, no output schema, and no annotations, a noun-phrase description is insufficient for an agent to call the tool correctly. An agent would not know what input to provide or what response to expect.

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 each parameter has a one-line definition, which earns the baseline of 3. However, the description adds no meaning beyond the schema and fails to explain why a timezone-name resource accepts url, host, json, and zone parameters, leaving the tool's actual usage unclear.

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 identifies a concrete resource ('Common IANA timezone names') and hints at its audience ('for clock calls'), so an agent can roughly infer it is a data source rather than a mutating operation. However, there is no verb such as 'return' or 'list', and no explicit distinction from siblings like citation, normalize, or validate.

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

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

Usage context is only implied by the phrase 'for clock calls'. There is no statement about when to choose this tool over the sibling tools, no when-not-to-use guidance, and no mention of alternatives. An agent must guess the intended scenario.

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

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

With no annotations, the description carries the burden and does disclose that this is a fetch operation that returns only summarized group counts, implying a read-only, non-destructive action. However, it does not address error cases, missing robots.txt, or network behavior, so transparency is only partial.

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

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

A single sentence captures the core action and output with zero redundant detail. The action is front-loaded and every word contributes.

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 does not explain how the four optional parameters (url, host, json, zone) relate to fetching a robots.txt, which is especially problematic because some schema descriptions (e.g., 'JSON text to validate') seem unrelated to this tool. With no output schema, the format of 'group counts' is also unspecified.

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

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

Schema description coverage is 100%, so the baseline is 3. The description offers no parameter-specific information, but the schema already documents each parameter, so this 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 uses a specific verb ('Fetch') and resource ('public robots.txt') and specifies the exact output ('return group counts only'), making the tool's purpose unambiguous. It is clearly distinct from the sibling tools, which handle citation, URL normalization, timezone, and JSON 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?

No guidance is provided on when to use this tool versus alternatives, nor which inputs are appropriate. The single sentence does not mention any exclusions or context, leaving the agent to infer 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, and it does disclose a useful behavioral trait: query and fragment are dropped while origin, host, and path are returned. However, it does not explain how the other schema parameters (host, json, zone) behave, what happens with invalid URLs, or whether there are side effects. This leaves the agent with only partial transparency about the tool's actual surface.

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

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

Two short sentences with no filler, and the primary behavior is front-loaded. The brevity is effective for the described operation, though it is achieved by omitting any mention of the three additional schema parameters.

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 URL-normalization use case well, but the schema accepts three additional parameters (host, json, zone) that are not addressed at all. With no output schema and no annotations, an agent cannot determine whether these parameters alter behavior, are ignored, or represent separate functions. This is a significant completeness gap for a 4-parameter 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 100%, so the baseline is 3. The description adds meaning for the url parameter by specifying the extracted output components (origin, host, path) and the dropped components (query, fragment). However, it says nothing about the host, json, and zone parameters, leaving their role in the operation ambiguous.

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

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

The description states a clear operation: return origin, host, and path for a URL, and explicitly notes that query and fragment are dropped. This is a specific verb plus resource, easily distinguished from unrelated siblings like generate_password or get_weather. However, it does not differentiate from close URL-related siblings such as scrape_url, open_url, or add_port, and the schema's unrelated parameters are left unexplained.

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

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

The description provides no guidance on when to use this tool versus alternatives. Sibling tools like scrape_url, open_url, add_port, and query_builder exist, but no conditions, exclusions, or alternative names are mentioned. The only implicit signal is the tool name and URL-normalization behavior.

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 discloses nothing about side effects, safety, or operational behavior, and what it does say (a static catalog) misrepresents the tool's actual behavior as implied by the schema's normalize/cite/validate/discarded semantics.

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 short and front-loaded in length, but the single sentence does not earn its place: its content is irrelevant and misleading relative to the actual operation. Conciseness without accuracy is not a virtue here.

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?

This is a 4-parameter tool with no output schema and no annotations, so the description must carry substantial context. It instead describes an entirely different subject. An agent cannot correctly determine what the tool does, what inputs to provide, or what to expect in return.

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

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

Schema description coverage is 100%, so the baseline is 3, but the description adds zero parameter meaning and, in fact, conflicts with the parameters: nothing about HTTP status codes relates to url, host, json, or zone. The description fails to reinforce or contextualize the schema and instead undermines it.

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

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

The description, 'Short catalog of common HTTP status codes,' is a verbless noun phrase that actively misleads. The input schema reveals a completely different purpose: normalizing/citing a URL, validating JSON text, and handling hostnames/timezones. The description does not state what the tool actually does and contradicts the schema's evident function.

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 about when to use this tool versus alternatives. Sibling names like citation and compatibility suggest related functionality, but the description offers no selection criteria. Worse, because the description describes a status-code catalog rather than the URL/JSON operations implied by the schema, an agent would be actively misled about when to invoke it.

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 responsibility for disclosing behavior. It implies a read-only time lookup but does not explain how url, host, and json parameters factor in, whether they are ignored, or what the response looks like. The presence of those params without explanation creates a behavioral gap.

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

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

The description is one short sentence and easily scannable. It is slightly redundant ('named' is already implied by IANA timezone), but it earns its place by stating the core function without waste.

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 no output schema and four parameters, the description is too sparse. It does not mention return format, which parameters are relevant, or why url/host/json appear in the schema, leaving an agent with insufficient context to invoke it correctly.

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

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

Schema coverage is 100%, so the baseline is 3. The description adds meaning only to the zone parameter ('named IANA timezone'), while the url, host, and json parameters remain semantically disconnected from the stated purpose even though the schema describes them individually.

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

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

The description states a specific action and resource: returning the current time for a named IANA timezone. It is clear on its own, though it does not explicitly differentiate from sibling tools like utc-time, and the input schema includes unrelated parameters (url, host, json) that muddy the intended scope.

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

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

The description gives no guidance on when to use this tool versus alternatives, no exclusions, and no mention of how to handle the extra parameters. Usage context must be inferred entirely from the short phrase.

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

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

No annotations are present, so the description carries the full burden of behavioral disclosure. It only labels the output as a 'time-sortable id shape' and does not mention generation behavior, randomness, monotonicity, or the expected result. It also fails to explain why the input schema includes url, host, json, and zone.

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 short, but the brevity comes from omitting the tool's actual purpose rather than from pruning unnecessary detail. A five-word phrase without a verb is under-specification, not effective 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?

With no annotations, no output schema, and four unrelated optional parameters, 'Time-sortable id shape' is not enough for an agent to know what input to provide or what result to expect. Nearly every operational aspect of the tool remains unspecified.

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 provides descriptions for all four parameters, so baseline is acceptable. However, the tool description adds no meaning about how these parameters relate to the tool's function, and the parameters appear unrelated to generating a time-sortable ID.

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 is a noun phrase ('Time-sortable id shape') with no verb or explicit action. It hints that the tool relates to ULIDs but does not say that it generates one for the current time, nor does it distinguish the tool from siblings like utc-time or domain-shape.

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

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

There is no guidance about when to use this tool or when to prefer alternatives. Given time-related siblings such as utc-time, timezone, and iana-zones, an agent cannot determine the appropriate context for ulid-now. No exclusions or alternative routing 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?

With no annotations, the description carries the full burden of behavioral disclosure, but it only states 'Current UTC timestamp.' It does not specify the output format, whether the value comes from the system clock, or that the four input parameters appear irrelevant to obtaining the timestamp.

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-loads the core idea with no wasted words. It is efficient, though it is a noun phrase rather than a complete action sentence and omits important clarifications.

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 the simple purpose, the description is incomplete for a tool with four optional parameters and no output schema. It fails to state the timestamp format, whether parameters are ignored, or how this tool relates to siblings like 'timezone' and 'ulid-now'.

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?

Although the schema documents each parameter, the parameters (URL, host, JSON, zone) have no evident connection to 'Current UTC timestamp.' The description does not clarify whether these parameters are ignored, optional, or somehow influence the result, leaving the agent confused about how to call the tool.

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 'Current UTC timestamp' clearly identifies what the tool does: it returns the current time in UTC. It is distinguishable from most siblings by its explicit focus on UTC, though it does not explicitly contrast with the similar 'timezone' tool.

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

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

The description implies it should be used when the agent needs the current UTC time, which provides a clear context. However, it gives no explicit guidance about when not to use it or how it differs from 'timezone', 'ulid-now', or other time-related 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 carries the burden of behavioral disclosure. It does disclose one meaningful trait—'the body is discarded'—which signals that the input is not retained after the check. However, it does not describe what happens on invalid JSON, what the agent receives back, or any other side effects, leaving only minimal transparency.

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 short sentences with no filler, and the core action is front-loaded. The second sentence about discarding the body is a legitimate behavioral note rather than padding.

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 validation tool, the description covers the primary action and non-retention, and the schema fully documents parameters. However, there is no output schema and the description never states what the agent receives as a result, nor does it clarify how to reconcile the body with the four schema fields.

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

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

Schema description coverage is 100%, so the baseline is 3 even though the description adds no parameter-level detail. The description references 'body' but never maps it to the 'json' property, and the url, host, and zone parameters are present in the schema but unaddressed by the description.

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

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

The description states a concrete action ('Check whether a body is valid JSON') with a clear resource and outcome, and it is easily distinguished from sibling tools like normalize-url or timezone. However, it uses 'body' rather than the schema's 'json' parameter, leaving slight ambiguity about which input is being validated.

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

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

There is no explicit guidance on when to use validate-json versus any alternative, nor any exclusions or prerequisites. The note that the body is discarded implies a validation-only operation, but the description does not explain when this tool should be selected over others or what context it is appropriate for.

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