JSON Accept hint

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

With no annotations, the description carries the full burden. It notes that task text is discarded and that connection methods are returned, but it does not disclose side effects, network usage, cost implications, or idempotency, leaving key behavioral aspects unknown.

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, compact sentence that immediately states the core function and return value. It avoids unnecessary detail and is easy to read, though it could be slightly more structured with bullet points.

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 of 9 optional parameters and no output schema, the description is incomplete. It does not explain how to request a specific task, what a 'connection method' looks like, or provide examples, leaving the agent without crucial context for successful 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 coverage is 100% and each parameter has a one-line description, meeting the baseline. However, descriptions like 'Search text; discarded after the length check' do not explain how the parameter relates to the tool's purpose of finding a gateway, leaving ambiguity about task-to-parameter mapping.

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 that the tool finds a public pay-per-call gateway for tasks like weather, search, scrape, or voice, and returns connection methods. However, it is vague about how the task is specified or which parameter drives the selection, making the purpose somewhat unclear.

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 instead of its many siblings (e.g., weather-hint, search-query-len, fetch-status). It offers no comparison, exclusions, or context for selection.

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 behavioral burden. It discloses that page content is not stored, which is useful privacy context, but it does not mention that making an HTTP request is required, how failures are handled, or what happens for invalid URLs. Partial 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?

Two succinct sentences with the core behavior front-loaded. The second sentence adds a meaningful retention detail without fluff. 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?

No output schema, no annotations, and four optional parameters with seemingly unrelated purposes. The description omits any explanation of how 'json' or 'zone' fit into the tool's behavior, so an agent cannot fully understand the tool's scope from the description alone.

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 adds no information about the four parameters and does not explain how 'host', 'json', or 'zone' relate to the stated URL-citation purpose.

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 operation (return host, scheme, HTTP status) for a URL, which is clear and unambiguous. It does not explicitly distinguish from sibling tools like 'inspect', but the precise output list makes the purpose easy to grasp.

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. There are no exclusions, prerequisites, or typical use cases described, leaving the agent to infer context from the tool name and description alone.

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 behavioral burden. It usefully discloses that identifiers are not retained, but it does not explain whether the classification is local, performs external lookups, has side effects, or requires authentication. The core classification behavior remains opaque.

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 the primary action front-loaded and no redundant schema content. The privacy guarantee adds information beyond the schema 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?

There is no output schema and no annotations, so the description needed to explain what classification results look like and when to choose this tool. It only says 'this request' is classified, leaving the return values, parameter combinations, and sibling differentiation undefined.

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 already documents 100% of the four optional parameters (url, host, json, zone), so the baseline is 3. The description adds no parameter-level guidance, such as how each field influences the classification, but full schema coverage means it does not need to compensate heavily.

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 includes an operative verb ('Show') and an object ('this request'), and indicates the tool returns a classification. However, it never defines what kind of classification is produced, what categories exist, or how this differs from sibling tools like compat-json 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 on when to use compatibility versus any of the ten sibling tools. The privacy note 'No identifiers are retained' is a behavioral property, not a selection rule, so an agent gets no direction on which inputs or scenarios call for this tool.

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 disclosing behavior. 'JSON Accept hint' says nothing about side effects, validation behavior, return values, or what is discarded or checked. The only behavioral detail ('discarded after the check') appears in the schema, not the description.

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 this is under-specification rather than effective conciseness. It lacks structure and does not front-load any useful operational detail for a tool with four 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 tool has no annotations, no output schema, and a highly ambiguous description. Even though the input schema is documented, the overall purpose and invocation context are missing, making the definition inadequate for reliable agent selection and 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 description coverage is 100%, so the schema already documents each parameter meaning, including that 'json' is validated and discarded. The description adds no parameter-level meaning, but per the high-coverage baseline, a 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 'JSON Accept hint' is a vague noun phrase rather than a statement of what the tool does. It does not specify a verb, an operation, or a resource, and it is difficult to distinguish from sibling tools like compatibility or validate-json.

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 like compatibility, validate-json, or normalize-url. There is no mention of conditions, exclusions, or preferred 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses that WHOIS/ownership data is not included, which is a useful constraint, but it does not state whether the operation is read-only, what it returns, or how the json and zone parameters are treated. The behavioral profile is significantly under-specified.

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 no wasted words. It states the main action and the key limitation 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?

The tool accepts four parameters with no annotations and no output schema, yet the description only addresses the hostname-splitting case. It does not explain how url, json, or zone fit into the tool's behavior, nor what the agent should expect as a result. A more complete description is needed for confident 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%, so the baseline is 3. The description's mention of 'hostname' loosely maps to the host parameter, but it adds no meaning for url, json, or zone beyond the schema. The mismatch between the hostname-focused description and the broader parameter set is a minor clarity 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 uses a specific verb and resource: 'Split a hostname into labels'. It clearly states the core transformation. The qualifier 'without WHOIS or ownership data' adds a distinguishing scope, even though it does not name sibling tools 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 phrase 'without WHOIS or ownership data' implies an appropriate use case: when only label parsing is needed, not domain enrichment. However, it does not explicitly state when to use this tool versus alternatives like normalize-url or validate-json, nor provide any when-not guidance.

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 full burden of behavioral disclosure. It does not state whether the operation is read-only, what it returns, how inputs are handled, or whether url/host/json are ignored. The description provides no behavioral contract beyond the tool's name.

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, which is efficient, but it is under-specified. It lacks a verb and does not explain the tool's action or output, so the brevity comes at the cost of 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?

With no output schema and no annotations, the description must explain what the tool returns and how an agent should call it. It does neither, and the schema's unrelated optional parameters further confuse the tool's intended 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%, so the baseline is 3. The description adds only a slight contextual hint that 'zone' relates to common IANA names for clock calls, but it does not clarify why url, host, and json appear in the schema or how they relate to this 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 'Common IANA timezone names for clock calls' is essentially a noun phrase that restates the tool name without a verb. It does not say whether the tool lists names, looks up a zone, or checks validity, so an agent cannot determine the actual operation.

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. There is no mention of when to prefer this tool over sibling tools like timezone or utc-time, and no exclusions or alternatives are stated. 'For clock calls' implies a context but does not specify it clearly.

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 behavioral burden, but it only states the fetch-and-count behavior. It does not disclose network side effects, auth requirements, failure modes, or whether the json/zone parameters are ignored, all relevant for a network-touching 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 one concise sentence with no filler, and the key action is front-loaded. It earns its 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?

For a tool with no output schema, no annotations, and four optional parameters that appear unrelated to the stated purpose, a single sentence is not enough. It omits the target selection mechanism, result format, and error semantics, so an agent cannot fully rely on it.

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 has 100% description coverage, the parameter descriptions are misaligned: url is 'to normalize or cite', json is 'to validate; discarded', and zone is an IANA timezone name. The description does not map these to robots.txt or identify which parameter supplies the target, leaving invocation 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 specific verb ('Fetch'), a concrete resource ('a public robots.txt'), and an exact return scope ('group counts only'). This clearly distinguishes it from sibling tools like validate-json or normalize-url, even without opening the schema.

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 prefer this tool over alternatives; the sibling tools are never mentioned. The word 'only' narrows the output, but not the selection context or exclusions, so an agent must infer when robots.txt inspection is 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, so the description carries the full burden. It discloses that query and fragment are dropped, which is valuable, but it does not state whether the operation is destructive, whether it requires any authentication, what happens with invalid URLs, or whether the 'json' and 'zone' parameters are accepted but ignored or processed.

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, no waste, and the core behavior is front-loaded. The brevity is a virtue here, though the lack of clariication on the extra parameters means the conciseness comes at the cost of completeness.

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 four parameters exist, none are required, and there is no output schema, the description is too thin. An agent needs to know what the response shape looks like, whether the tool only processes the 'url' parameter or all four, and whether invalid input returns errors or silent fallbacks.

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 meaningful meaning only for the 'url' parameter. The 'host', 'json', and 'zone' parameters are documented in the schema but their role in this tool is unexplained – 'json' and 'zone' in particular seem unrelated to URL normalization and the description does nothing to clarify their purpose.

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

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

The description states a specific verb and resource ('Return origin, host, and path for a URL') but does not differentiate it from sibling tools. The phrase 'Query and fragment are dropped' adds useful scoping, but it remains unclear why a sibling like 'url_parts' or 'parse_url' might be preferred.

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 when-to-use guidance or alternatives are mentioned. The description implies a use case (normalizing a URL for citation) but provides no exclusions, no mention of when to use it over siblings, and no context about the 'json' or 'zone' parameters, which appear unrelated to the stated purpose.

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 merely describes the tool as a 'catalog' and never says whether it reads, validates, fetches, or transforms data, what side effects exist, or what input/output behavior to expect. The mismatch between the stated purpose and the parameters (url, host, json, zone) is 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 technically concise, but it is under-specified rather than efficiently informative. It contains no front-loaded action, no parameter mapping, and no context, so the single sentence does not earn its place as an agent-facing guide.

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 4 parameters, no output schema, no annotations, and a large set of siblings, this description is severely incomplete. It does not explain the operation, expected inputs, return values, or selection criteria. An agent receiving this definition would not know how to invoke the 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%, and the parameter descriptions are self-contained (e.g., 'HTTPS URL to normalize or cite', 'JSON text to validate'), so the baseline is 3. However, the tool description adds no meaning linking these parameters to HTTP status codes, leaving a semantic gap between the schema and the tool's stated purpose.

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 noun phrase that restates the tool name with slightly more detail but does not state a specific action (e.g., look up, check, return). It fails to explain how the four input parameters relate to a status-code catalog or how this tool differs from its many siblings.

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 the sibling tools such as validate-json, normalize-url, iana-zones, or citation. There are no exclusions, alternatives, or conditions stated, leaving the agent to guess the intended use case.

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 states the core behavior but does not explain how invalid timezone names are handled, what the output format is, or whether the three unrelated schema fields (url, host, json) are ignored, accepted, or cause 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?

The description is a single front-loaded sentence with no wasted words. It earns its place but is too terse to compensate for the confusing multi-parameter schema.

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 no annotations and no output schema, yet the description does not describe return values, error behavior, or how to handle the irrelevant-looking parameters. In context of four optional parameters and several time-related sibling tools, this is insufficient for reliable 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?

Although schema description coverage is 100%, the description only reinforces the 'IANA timezone name' meaning of the zone parameter. It does not clarify why url, host, and json are present in the schema or whether they are extraneous, which is a significant semantic gap for an agent deciding what to pass.

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 the current time for a named IANA timezone, giving a specific verb and resource. It is not a tautology and distinguishes the tool from generic timezone concepts, though it does not explicitly contrast it with sibling tools like utc-time or iana-zones.

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

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

The description never says when to use this tool versus alternatives such as utc-time or iana-zones. It only implies that a named IANA timezone is needed, with no conditions, exclusions, or routing guidance.

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, yet it only states what is returned. It does not clarify how the listed input parameters relate to the tool, whether any arguments are accepted or ignored, or what the output format is.

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 single sentence is concise and front-loaded, but it is under-specified rather than efficiently complete. It omits essential context about parameters and usage, making it inadequate despite its 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?

Given 4 parameters, no annotations, and no output schema, the description is too skeletal for an agent to call the tool correctly. It fails to explain whether parameters should be passed, what the return format looks like, or how this tool relates to the timezone sibling.

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 schema description coverage is 100%, all four parameter descriptions (URL, host, JSON, zone) appear unrelated to a UTC timestamp operation. The tool description adds no meaning to these parameters and fails to explain which, if any, are meaningful for this 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 states that the tool returns the current UTC time, which is a clear resource, but it is a noun phrase without a verb and does not differentiate this tool from the sibling 'timezone' tool. The presence of unrelated parameters (url, host, json) further muddies what the tool actually does, lowering confidence.

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 alternatives like timezone or iana-zones. It does not mention whether a zone parameter can be supplied or whether this tool is strictly for UTC-only needs, leaving usage entirely to inference.

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

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

With no annotations, the description carries the full behavioral burden. It does disclose an important side effect ('The body is discarded'), which suggests a safe, non-mutating operation. However, it does not explain how the four schema parameters relate to the 'body', what happens for invalid JSON, or what the tool returns, leaving significant behavioral ambiguity.

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 and front-loaded. The core purpose appears in the first sentence, and the second sentence adds a meaningful behavioral detail. There is 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?

For a tool with four parameters, no annotations, and no output schema, this description is incomplete. It does not clarify the role of url, host, and zone, how to supply the JSON to validate, or what response to expect. The agent lacks enough context to confidently invoke the tool in non-trivial cases.

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 adds no parameter-level meaning and even introduces an unmodeled 'body' concept that does not clearly map to the 'json' parameter or the other properties. It neither improves nor severely harms parameter understanding 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 core action: 'Check whether a body is valid JSON.' It identifies a specific verb, resource, and outcome. However, it does not explicitly distinguish this from the sibling 'compat-json', which may also relate to JSON handling, so it falls short of a 5.

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 alternatives such as 'compat-json' or other JSON-related siblings. The description does not mention prerequisites, intended contexts, or exclusions, leaving the agent to infer usage entirely.

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