ULID shape check

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 adds a useful constraint: 'Page content is not stored,' which signals privacy/statelessness. However, it does not clarify why the tool also accepts host, json, and zone parameters, nor whether these are alternative modes, validations, or ignored. This ambiguity reduces transparency for a multi-param 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 concise: two sentences front-load the main purpose and a key privacy-positive detail. However, it is too sparse given the tool's internal complexity (4 parameters with likely alternative modes), so it trades completeness 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?

Given 4 parameters, no annotations, and no output schema, the description is underspecified. It does not explain how the parameters relate, what the output format looks like, or what happens when multiple parameters are provided. The clause 'Page content is not stored' is helpful but insufficient for a tool that accepts json and zone inputs, leaving the agent guessing about valid combinations and behavior.

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

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

The input schema has 100% description coverage for all 4 parameters, so the schema already documents each parameter individually. The description adds a summary phrase ('Return host, scheme, and HTTP status') that connects URL, host, and json, but it does not explain the relationship between the parameters or how json/zone are used, which is missing semantic context 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 states a specific verb ('Return') and a resource ('host, scheme, and HTTP status for a URL'), giving the core function. However, it does not differentiate from sibling tools (e.g., validate-json, normalize-url) and the tool name 'citation' is generic, so the agent cannot tell when to choose this over alternatives.

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 others, nor any context on prerequisites or expected inputs. It only explains what it returns, leaving the agent to infer usage from the schema. No exclusions or alternative tools are mentioned.

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 of behavioral disclosure. It offers one useful trait ('No identifiers are retained') but says nothing about side effects, network calls, validation behavior, or what 'classified' entails. A privacy guarantee alone is insufficient for a tool with zero annotation coverage.

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 the core statement front-loaded and a useful privacy detail second. Nothing is redundant, though the brevity trades away needed semantics.

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 4-parameter tool without an output schema and without annotations, the description is far from complete. It doesn't clarify the return format, how the parameters are consumed, or what classifications are possible. An agent cannot predict the tool's behavior from this definition.

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-specific meaning. The description doesn't explain how url, host, json, and zone relate to compatibility classification, but the schema adequately documents each field's format and 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 says 'Show how this request is classified' with the tool named 'compatibility', but it never defines what classification means or what the output looks like. It's close to a tautology because 'classified' adds little clarity over the name 'compatibility', and there's no hint about what compatibilities are being assessed.

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 siblings like normalize-url, validate-json, or timezone. No conditions, no exclusions, and no mention of alternatives make an agent guess which tool handles URL, JSON, or timezone 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It notes that WHOIS or ownership data is not included, which is useful for setting expectations, but it does not describe what is returned, what side effects (if any) occur, or how errors behave. The tool's behavior beyond input handling is 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 sentence that directly states the core function and an important exclusion. It is appropriately front-loaded and contains no wasted words.

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

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

The tool accepts four heterogeneous parameters (url, host, json, zone) with no required fields, yet the description does not explain why such different inputs are relevant to splitting a hostname into labels. There is no output schema showing return values, and the description does not say what the tool produces. For a tool with this parameter diversity, the description is not complete enough for an agent to confidently select and call 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?

Schema description coverage is 100% — every parameter (url, host, json, zone) has a description in the schema. The tool description does not add meaning to individual parameters, but with full schema coverage the description does not need to. Baseline 3 applies; credit is added because the description clarifies the overall purpose, which helps interpret the parameters in 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 states a specific action (splitting a hostname into labels) and gives a clear non-goal (no WHOIS or ownership data). However, it does not state what makes this tool distinct from sibling tools, and the tool name alone would not fully convey what 'domain-shape' performs.

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 explicit guidance on when to use this tool instead of other domain-related tools, nor does it mention any alternative tools. The context for use can only be inferred from the 'split a hostname' phrasing, leaving the agent to guess at applicability.

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 of behavioral disclosure, and it delivers none: no read-only guarantee, no indication of return format, no mention of validation side effects or errors. The schema's own json parameter says 'discarded after the check,' implying a validation behavior the description never acknowledges, while url/host hint at normalization/citation behaviors that conflict with the stated timezone-names purpose. The description and schema present two different tools.

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 short sentence is technically compact, but this is under-specification, not conciseness. The description is a sentence fragment with no verb, and it leaves no room for the behavioral or usage detail that a 4-parameter tool with no annotations and no output schema requires.

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 definition is materially incomplete. With no annotations and no output schema, the description must close all gaps by itself, but it leaves the core question — what happens when the tool is called? — unanswered and never reconciles the extraneous url/host/json parameters with the timezone purpose. An agent's default expectations from this definition would be unreliable, and the tool is likely to be incorrectly selected or invoked.

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%, which normally sets the baseline at 3, but the description adds zero parameter-level meaning and the schema texts are themselves incoherent in context: url is 'to normalize or cite,' host is a 'Public hostname,' and json is 'to validate' — all pointing at sibling-tool behaviors rather than IANA timezone names. Only 'zone' aligns with the description, so an agent cannot tell which of the four parameters are actually relevant.

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 fragment ('Common IANA timezone names for clock calls.') with no verb, so it never states what action the tool performs — whether it returns a list, validates a zone, or converts something. It names a resource and a context, which loosely distinguishes it from siblings, but the input schema lists url, host, and json parameters that have nothing to do with timezone names, creating confusion about 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?

The phrase 'for clock calls' offers only a weak, implied usage context. Sibling tools such as timezone, utc-time, normalize-url, and validate-json are obvious alternatives — particularly because the schema's url/host/json parameters map to those siblings — but the description never names them or gives any selection criteria. An agent has no way to know when to pick this tool over timezone.

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 the key output limitation (counts, not full content) and that the resource is public, but it is silent on failure behavior, what happens when robots.txt is missing, and how 'group counts' are defined.

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 filler. 'Return group counts only' is a concrete, high-value qualifier, and nothing could be trimmed without losing meaning.

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 agent cannot tell what the returned 'group counts' look like, how to construct the URL/host input, or what the unrelated optional fields do. For a network-fetch tool that must identify a target host, the description is not complete enough to invoke confidently.

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 property descriptions conflict with the tool's stated purpose: 'json: JSON text to validate' and 'zone: IANA timezone name' have no apparent connection to robots.txt group counts, and 'url: HTTPS URL to normalize or cite' does not explain how to form the robots.txt request. The description adds no parameter guidance, and all parameters being optional makes it harder to know what must be supplied.

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 names a specific verb ('Fetch'), a specific resource ('a public robots.txt'), and a precise output scope ('return group counts only'). This makes the tool's role clear and distinguishes it from a generic URL or text processing 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 phrase 'group counts only' implies the intended use case: when an agent needs robots.txt group statistics rather than full content. However, there is no explicit when-to-use/when-not-to-use guidance, no alternatives named, and no mention of prerequisites such as a valid public URL or hostname.

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

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

With no annotations present, the description must carry the behavioral disclosure burden. It does disclose that query and fragment are dropped and what the return value contains, which is useful. But it says nothing about the semantics or side effects of the json and zone inputs, which the schema suggests are validated and discarded, nor about failure modes, 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?

Two terse sentences, front-loaded with the main action, then the dropping constraint. No filler or redundancy. The main deficiency is omission of scope, not wordiness.

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 is complete only for the URL case, yet the schema shows four optional parameters with no output schema or annotations. It does not explain how the parameters interact, which input to choose when validating different types, or what happens with conflicting inputs. An agent lacks enough context to invoke the tool reliably for non-URL 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 some semantic context for url by stating the output components. However, it does little to clarify the roles of host, json, and zone, and the phrase 'return host' could be confused with the host input parameter. On balance it neither meaningfully enriches nor destroys the schema's parameter documentation.

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

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

The description uses a specific verb+resource ('Return origin, host, and path for a URL') and adds the normalization behavior of dropping query/fragment. However, the input schema exposes four unrelated optional parameters (url, host, json, zone), suggesting the tool also validates JSON and timezone names, which the description omits. This mismatch makes the tool's actual scope ambiguous and does not distinguish it from 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 guidance on when to use this tool versus alternatives, and no exclusions. The URL-only description actively underrepresents the json/zone capabilities visible in the schema, so an agent needing JSON validation would not know this tool applies. The only implied use case, URL normalization, conflicts with the broader schema.

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 of describing behavior. It only says the tool is a 'short catalog', which implies a read-only operation, but it does not disclose whether the tool performs any lookup, makes network requests, or returns a static list. The unrelated-looking parameters (url, host, json, zone) are not reconciled with the stated purpose.

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 short sentence with no filler words or irrelevant detail. It is front-loaded and easy to parse, though it is perhaps too terse to fully support the tool's behavioral and contextual needs.

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 optional parameters whose relationship to a status-code catalog is unexplained, the one-line description is insufficient. An agent cannot tell what output to expect, why the parameters exist, or how they should be used when calling 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?

The input schema has 100% description coverage for its four parameters, so the schema already explains what each parameter is. The description adds no additional parameter semantics, but with full schema coverage the 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 identifies a resource: a short catalog of common HTTP status codes. However, it lacks an explicit action verb such as 'returns', 'lists', or 'looks up', so it is not fully clear what behavior the agent should expect when calling the tool. It does distinguish the subject from the sibling tools, but not through any contrast.

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 status-catalog versus the sibling tools. There are no scenarios, no exclusions, and no mention of alternatives. An agent would have to infer the appropriate context from the tool name 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, the description carries the full burden of behavioral disclosure. It accurately states the read-only purpose, but it fails to disclose that the schema also accepts url, host, and json parameters that appear unrelated to timezone, and it doesn't clarify what happens if they are passed. This creates potential confusion about actual behavior.

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

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

The description is a single sentence that is front-loaded and communicates the core function immediately. There is no wasted wording, and all content contributes to understanding the tool.

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 specify the output format or that zone is the only meaningful input. The presence of unrelated optional parameters further complicates the call context, leaving the agent without enough information to invoke the tool reliably.

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 descriptions cover 100% of parameters, three of them (url, host, json) are irrelevant to a timezone tool. The description only restates that zone is an IANA timezone name, adding no clarity about which parameter to actually use or whether the other parameters are ignored.

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

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

The description clearly states the tool's function: returning the current time for a named IANA timezone. It is specific and distinct from the sibling tools like normalize-url and validate-json, leaving no ambiguity about what the tool 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?

There is no guidance on when to use this tool versus an alternative, and no hint that the zone parameter is effectively required despite being optional in the schema. The agent must infer usage from the short 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, the description bears the full burden of explaining side effects, safety, and return behavior. 'ULID shape check' only implies a validation/check and says nothing about whether data is modified, what is returned, or how inputs are handled. The only behavioral detail ('discarded after the check') lives in a parameter schema, not in the tool 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?

At three words, 'ULID shape check' is under-specified rather than concise. It front-loads no useful information and fails to earn its place as the main description for a tool with four parameters and a rich sibling set.

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 four optional parameters, no output schema, no annotations, and many closely related siblings. The description does not indicate which input(s) are needed, what a successful check looks like, or what errors may occur, so the definition is not complete enough 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?

All four parameters have explicit schema descriptions, so the baseline is 3 even though the description adds no parameter-level meaning. However, the description's 'ULID' framing is disconnected from the actual url/host/json/zone parameters, so it could confuse an agent trying to decide which parameters to populate.

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 'ULID shape check' is essentially a restatement of the tool name and lacks a clear verb-object statement of what the tool does. It is also misaligned with the input schema, which exposes url/host/json/zone parameters rather than any ULID input, so an agent cannot infer 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 guidance is given for when to use this tool or how it differs from siblings such as domain-shape, validate-json, normalize-url, or timezone. Nothing in the description helps an agent choose between this tool and the surrounding alternatives, though the description is not actively misleading about 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 must carry the full burden. It reveals only that a timestamp is returned; nothing about formatting, timezone, or how the four parameters affect behavior. The parameters seem unrelated, leaving behavior largely 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?

A single concise sentence with no waste. Its brevity is not a flaw per se, but it lacks the substance needed 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?

No output schema and no annotation context. The description is too thin to fully inform an agent about call semantics, especially given the mismatched parameter set. Key behavioral details are absent.

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 textual description. However, the description adds no elaboration beyond the schema, and the parameters do not obviously relate to 'Current UTC timestamp,' so the descriptions do not fully clarify their role.

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 says 'Current UTC timestamp', which states a clear verb/object. However, the input schema contains four unrelated parameters (url, host, json, zone) with no connection to time-zone conversion or timestamp formatting, so the tool's actual purpose relative to its schema is ambiguous.

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 like citation or domain-shape. The description implies it returns the current time, but there is no context about intended use cases or exclusions.

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

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

With no annotations provided, the description carries the full burden. It does disclose an important behavioral trait: 'The body is discarded.' It also implies a read-only check. However, it does not explain what the tool returns (e.g., boolean vs. error) or whether any validation side effects occur.

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, front-loaded with the core action and followed by the key side effect. No filler or redundant content.

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 is simple, and the description covers the main action and disposal behavior. But there is no output schema and the return value is unspecified; also, the presence of four unrelated-looking optional parameters is left unexplained, which may confuse an agent.

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 descriptions cover 100% of parameters, so the schema already documents each field. The description adds meaning for the 'json' parameter by clarifying the body is discarded, but it does not help reconcile the seemingly irrelevant url, host, and zone parameters with the validation 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?

Description states a specific verb and resource: 'Check whether a body is valid JSON.' This clearly identifies the tool's function. However, it does not differentiate from the sibling tools, whose names are garbled/unclear, so it stops short of full distinction.

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, nor any context about where validation is appropriate. The description simply states what it does, 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.