agentdevx

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

Annotations already classify the tool as destructive (destructiveHint: true) and non-idempotent, which aligns with sending an email, so there is no contradiction. But the description adds zero behavioral context beyond the action itself — no mention that delivery is irreversible, external, or side-effecting. With annotations covering the safety profile, some added context was expected and none was provided.

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 seven-word sentence with the action front-loaded and no filler. Every word earns its place, and it is appropriately sized for a one-parameter tool. Nothing could be removed without losing the verb-object clarity.

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

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

For a single-parameter tool with annotations and an output schema, an agent can likely invoke it correctly by passing `to`. However, the description is a bare minimum — it never explains what the email contains (subject, body, sender), whether the send is an actual external delivery or a simulation, or any delivery semantics, which matters given the destructive hint. Adequate but with clear gaps.

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

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

Schema coverage is 100% — the schema already describes `to` as 'Recipient email address.' The description's 'to a recipient' adds no parameter-level meaning beyond the schema, so the baseline 3 for high coverage applies. Notably, the schema marks zero required parameters, meaning an email without a recipient is technically permitted; the description does not clarify this oddity.

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 'Send an email to a recipient' states a specific verb (send), resource (email), and target (recipient), so an agent understands the core action immediately. No sibling tool is email-related, so there is no confusion. However, it stops just short of a 5 because it essentially restates the tool name in sentence form without adding scoping detail.

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 invoke this tool versus alternatives, no exclusions, and no prerequisites. While none of the 40 siblings overlap in domain, making mis-selection unlikely, the description itself earns no credit for this. This matches the rubric's 'no guidance' level.

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?

The description claims a simple arithmetic operation ('Add two numbers'), but the annotations declare destructiveHint=true. This directly contradicts the benign read/compute behavior implied by the description, and no side effects are disclosed. This is an annotation contradiction.

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 only three words and contains no filler or redundancy. It is efficiently sized for a trivial operation, though its brevity leaves out behavioral context that would make it more useful.

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 marked as destructive, the description is incomplete: it does not explain what side effects occur, whether data is modified, or what the tool returns. An output schema exists, so return values need not be described, but the destructive nature and lack of usage guidance remain significant gaps.

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

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

The input schema already documents both parameters with 100% coverage, so the description adds no additional meaning about types, formats, or edge cases. The baseline of 3 applies because the schema carries the full semantic weight.

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 operation: adding two numbers, with the operands implied by the schema. It distinguishes itself from the sibling echo-server.echo by naming a concrete arithmetic action, though it does not explicitly contrast itself with any sibling 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?

There is no guidance about when to use this tool versus alternatives, nor any mention of prerequisites or exclusions. The intended use is only implied by the name and one-line description, which is not enough to route an agent confidently.

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 mark this as destructiveHint=true and readOnlyHint=false, yet the description only says 'Returns whatever you send' with no mention of side effects or why this might be destructive. It doesn't directly contradict the annotations, but it misses the chance to clarify an operation that appears read-only on the 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?

The description is a single short sentence with no filler or redundancy. It conveys the essential behavior immediately and earns its place in the definition.

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 one-parameter echo operation with an output schema, the description plus schema covers the basic mechanics. However, the destructiveHint annotation is left unexplained, and no usage context or caution is provided, so an agent could call this tool without understanding its potential side effects.

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 fully documents the single 'text' parameter with the description 'Text to echo'. The tool-level description reinforces that the text is what gets returned, but adds no new semantic detail. With 100% schema coverage, this is the appropriate baseline.

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 core behavior: it returns the input text back to the caller. This is a specific verb-plus-resource statement that unambiguously identifies an echo operation. It doesn't explicitly differentiate from sibling tools, but the purpose is obvious enough.

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 versus alternatives, no mention of typical use cases, and no exclusions. The agent is left to infer from the name and description alone, which is inadequate for routing between many sibling tools.

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

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

The annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so no additional safety disclosure is needed. The description adds no behavioral context beyond the annotations, and the phrase 'for a base currency' is slightly ambiguous given the empty input schema, though it is not contradicted by the annotations.

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

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

The description is one short sentence with no redundancy and puts the core verb and resource first. 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?

For a no-parameter read-only tool with an output schema and safety annotations, the description is nearly complete. The only notable gap is that it doesn't specify how the base currency is determined, especially since the input schema is empty.

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?

There are no parameters in the schema, so the baseline is 4. The description's mention of 'a base currency' adds conceptual meaning about the operation, even though there is no parameter to configure 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 uses a specific verb and resource ('Get latest exchange rates') and adds the scope 'for a base currency', which clearly distinguishes it from unrelated sibling tools. It is a minimal but unambiguous statement of what the operation returns.

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 conveys what data is returned, so an agent can infer when to call it, but it gives no explicit when-to-use guidance or exclusions and doesn't mention alternatives, even among the broader sibling set.

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

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, which convey the safety profile. The description adds no additional behavioral context such as authentication needs, rate limits, error behavior, or what happens when the repository does not exist.

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. Every word contributes to the core purpose.

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

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

The output schema exists and annotations cover safety, but the input schema is completely empty even though the description says the request needs 'owner and name.' An agent cannot reliably construct the call because the actual parameter structure is absent and the description does not explain how to supply those values.

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?

With zero parameters in the schema, the description adds meaning by naming 'owner and name' as the identifying values. However, it does not specify parameter names, types, or formatting, so it only partially compensates for the empty 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 action ('Get') and resource ('GitHub repository') with the identifying qualifier 'by owner and name.' It is clear enough to distinguish this from searchRepos and listRepoIssues, though it does not explicitly name sibling 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?

There is no guidance about when to use this tool versus alternatives such as github-api.searchRepos or github-api.listRepoIssues. No conditions, exclusions, or context for choosing this tool 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?

The description merely says 'List issues,' which aligns with the readOnlyHint and idempotentHint annotations, but it adds no behavioral context beyond them. It does not mention pagination, issue state, repository selection, or any other runtime 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, front-loaded sentence with no filler words. It is appropriately economical for a simple listing operation, though it is terse enough that some context is missing.

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 empty input schema gives the agent no way to specify which GitHub repository to target, and the description does not clarify whether a repository is preconfigured, passed via context, or omitted by design. This is a significant gap for a tool claiming to list issues for a repository.

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 zero parameters, so the baseline of 4 applies; there are no parameter semantics for the description to clarify. The absence of a repository selector is a completeness issue rather than a parameter-semantics 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 states a specific verb ('List') and resource ('issues for a GitHub repository'), distinguishing it from sibling tools like getRepo and searchRepos. It lacks detail about whether all issues or a specific subset are returned, but the core purpose is clear.

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 about when to use this tool versus siblings such as getRepo or searchRepos. There is no explicit when/when-not statement and no mention of prerequisites or repository context.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description 'Search GitHub repositories' adds no behavioral context beyond what annotations provide—no mention of authentication needs, rate limits, pagination, or return format. It is consistent but does not enhance 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 concise and free of fluff, but it is under-specified. In a single sentence it fails to convey how the search operates or what inputs are expected. It is not a tautology, but it lacks the detail needed to be genuinely useful.

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 having no parameters and an output schema, the description is incomplete for a search tool. It gives no indication of what the search is based on, how results are returned, or any filtering capability. An agent would struggle to know how to invoke this tool meaningfully, especially given the empty input schema.

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

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

The tool has zero parameters, and schema description coverage is trivially 100%. Per the rubric, 0 params gives a baseline of 4. The description adds no parameter-specific information, but none is needed since there are no parameters to explain.

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 ('search') and resource ('GitHub repositories'), making the core purpose clear. However, it does not differentiate from sibling tools like 'github-api.getRepo' or 'github-api.listRepoIssues', and it lacks specifics about what kind of search is performed.

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. It does not mention any prerequisites, query formats, or conditions that would select this tool over others. There is no 'when to use' or 'when not to use' information.

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?

The description contradicts the annotations. The annotation declares destructiveHint=true, but 'Create a new post' implies an additive, non-destructive operation. This is a significant inconsistency that could mislead an agent into expecting destructive side effects. The description adds no behavioral context beyond the annotations, and what it does imply conflicts with them.

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

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

The description is a single sentence with no wasted words. It is appropriately concise for a simple creation tool. While it could include more structural detail like parameter prerequisites, the brevity itself is not a flaw; it communicates the core purpose 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 is simple and has an output schema, so return values are likely covered. However, the description lacks any usage guidance or context about when to call it, and it omits any mention of optional/required parameters. For a basic create operation with fully documented params, this is adequate but not comprehensive.

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 three parameters (body, title, userId), achieving 100% schema description coverage. The tool description adds no additional parameter semantics. Per the rubric, the baseline is 3 when schema coverage is high, and that is appropriate here.

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 'Create a new post' clearly states the verb (create) and the resource (post), making the tool's purpose immediately understandable. It distinguishes itself from sibling read-only tools like jsonplaceholder.getPost and getPosts, though it doesn't explicitly differentiate from other create tools like petstore-api.addPet or createUser. The specificity of 'post' is sufficient for clarity.

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. It does not mention that reading posts uses getPost/getPosts, nor does it mention any prerequisites or conditions for creating a post. The description is a bare statement of function with no situational context.

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

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

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the description's 'Get' is consistent and adds no contradiction. The description offers no additional behavioral context beyond those annotations, such as potential 404 behavior or data freshness, but the safety profile is already well covered by annotations.

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

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

The description is a single, short sentence that immediately states the action, target resource, and selection criterion. There is no redundant phrasing or filler, making it optimally concise and 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?

The output schema and annotations cover the return shape and the safety profile, so those do not need to be described. However, the description promises fetching 'by ID' while the input schema defines no parameters, leaving an agent without enough information to actually supply the ID in a call.

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 is completely empty, so the description's mention of 'by ID' is the only place an agent learns that an ID is conceptually required. Since 0 parameters has a baseline of 4, the description adds meaningful semantic value, though the schema does not specify how or where this ID should be provided.

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

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

The description uses a specific verb ('Get') and an exact resource ('a single post by ID'), which clearly distinguishes it from sibling tools like getPosts (plural) and createPost. An agent can immediately understand what this tool returns and how it differs.

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 'by ID' implies this is the right tool when the agent already knows a specific post ID, rather than needing a list of posts. However, it never explicitly mentions alternatives like getPosts for fetching multiple posts or createPost for creating, so the routing guidance is only implied, not stated.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is known. The description adds no additional behavioral context (e.g., pagination, response format, potential volume). Since annotations carry the burden, a 3 is appropriate; it does not contradict them.

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, precise phrase ('Get all posts') with zero filler. It is front-loaded and directly actionable, making it an exemplar of conciseness.

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

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

Given the absence of parameters, the existing output schema, and annotations that fully cover safety, the description is sufficient for an agent to call the tool correctly. It lacks explicit mention of sibling tools (e.g., 'getPost') but that is more of a usage-guidelines gap than a completeness gap.

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

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

The tool has zero parameters and the schema is 100% covered (trivially empty). Per the rubric, 0 params warrants a baseline of 4. The description correctly implies no parameters are needed, and no additional semantic explanation is required.

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 ('Get'), a specific resource ('all posts'), and the plural 'posts' clearly distinguishes it from the singular sibling 'jsonplaceholder.getPost'. It is unambiguous and immediately understood.

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

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

The description implies use for retrieving all posts, but does not explicitly mention alternatives like 'getPost' for a single post or any when-not-to-use conditions. The naming convention suggests differentiation, but it is left 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the 'all' scope, but does not disclose additional behavioral details such as pagination, rate limits, or response shape; this is acceptable for a zero-parameter read-only endpoint, but it does not go beyond the annotations.

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

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

The description is three words, front-loaded, and contains every piece of information needed at the top level. No filler or redundant explanation exists.

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 zero-parameter input, the presence of an output schema, and annotations covering read-only/idempotent behavior, 'Get all users' is complete enough for an agent to select and invoke the tool correctly without missing information.

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?

There are zero parameters and the input schema is empty, so there is nothing for the description to explain. Per the baseline for tools with no parameters, the description's lack of parameter details is not a deficiency.

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 ('Get') and resource ('all users'), clearly distinguishing it from sibling tools like getPost/getPosts and createPost. The word 'all' also communicates the endpoint's scope, leaving no ambiguity about what is returned.

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

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

The description implies use when the caller needs the full list of users, but it does not explicitly state when to use this tool versus alternatives or mention any exclusions. Since there is no sibling that fetches a single user, the lack of explicit guidance is less harmful, but guidance is still only implied.

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 already cover read-only, idempotent, and non-destructive behavior. The description adds meaningful context beyond those annotations: the memory is encrypted and persistent, which informs the agent about durability and confidentiality. This is useful behavioral context not available from annotations alone.

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, tightly worded sentence that includes the key operation, the resource, the storage characteristics, and the lookup mechanism. There is no extraneous content, and the most important information is front-loaded.

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

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

For a single-parameter, read-only retrieval tool with a full output schema and comprehensive annotations, the description is complete. It covers what the tool does, what kind of memory it accesses, and how the lookup is performed. Nothing essential is missing.

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

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

Schema coverage is 100% and the single parameter's description ('Memory key to retrieve') already communicates the core meaning. The tool description adds little beyond the schema, but does reinforce that the key references a previously stored value. Baseline 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 names a specific verb ('Retrieve'), a specific resource ('a previously stored value'), and the access mechanism ('by key'). It clearly identifies the tool's function and is readily distinguishable from its sibling memory.store.

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 clearly establishes the context of use: retrieving a value that was previously stored in persistent memory. It does not explicitly name alternatives or exclusions, but the tool's purpose is unambiguous and no competing retrieval tool exists among siblings.

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

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

Annotations already supply read-only/idempotent/destructive hints, and the description adds useful storage traits: encryption and cross-session persistence. It does not contradict the annotations, and it does not need to restate the safety hints.

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 convey the operation, resource, security property, and persistence behavior with no filler or repetition of the title. Key facts are 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?

With full schema coverage, an output schema, and the given annotations, the description covers the essential invocation context for a simple store operation. A minor gap is that it does not point to memory.recall or clarify overwrite/TTL edge cases, but those are not required for basic correctness.

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 key, value, and ttl are already documented. The description only echoes the key-value relationship and encryption already present in the schema, adding no new parameter-level meaning.

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 ('Store'), a concrete resource ('key-value pair in the agent's encrypted, persistent memory'), and a key behavioral property ('Survives across sessions'). This is sufficient to distinguish it from the sibling memory.recall, which is the retrieval counterpart.

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 persistence framing implies the tool is for values that should outlive the current session, so an agent gets a general sense of when to call it. However, it does not explicitly say when not to use it or mention memory.recall as the alternative for reading stored values.

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?

The annotations already indicate the operation is read-only and idempotent, but the description adds no behavioral context beyond that. It does not clarify how the city is determined, whether there is a default city, or what the returned weather payload represents.

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. It communicates the core action efficiently and is appropriately sized for a simple 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?

Despite an output schema and annotations, the definition is not complete enough for correct invocation. The description says 'for a city' while the input schema has no city parameter, leaving the agent uncertain whether a city argument is expected, optional, or impossible.

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?

There are zero parameters in the schema, so the baseline is 4. The mention of 'a city' is the only semantic hint, but since no city parameter exists, the description cannot add per-parameter detail.

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 ('Get'), a clear resource ('current weather'), and a scope ('for a city'). It is easily distinguished from the sibling 'open-weather.getForecast' because it emphasizes current conditions rather than forecasts.

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 when-to-use guidance and does not mention alternatives or exclusion cases. There is no explicit direction to choose this over getForecast or any other weather-related 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?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is known. However, the description adds no extra behavioral context such as units, default city behavior, rate limits, or how the city is resolved, which leaves a meaningful 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 a single, front-loaded sentence with no filler. Every word contributes to conveying the tool's core purpose.

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

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

With zero parameters but a description that says 'for a city,' the definition omits how the city is determined. The output schema and annotations cover return values and safety, but the unresolved city-selection mechanism is a critical gap that could prevent an agent from invoking 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?

The tool has zero parameters and 100% schema description coverage, so the baseline is 4. The description adds that the forecast is 'for a city,' which is useful, though it leaves unclear how the city is supplied given the empty input 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 uses a specific verb ('Get'), a clear resource ('5-day weather forecast'), and a scope ('for a city'). It also distinguishes the tool from the sibling open-weather.getCurrentWeather by emphasizing the forecast timeframe.

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 '5-day weather forecast' implies this should be used for future conditions rather than current conditions, but the description does not explicitly state when to use this tool versus getCurrentWeather or any other alternative. No exclusions or alternative names 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?

The annotation destructiveHint=true directly contradicts the description 'Add a new pet to the store,' which describes a creation operation, not a destructive one. The description adds no behavioral context beyond this, and the contradiction makes the behavioral profile unreliable for an agent.

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

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

The description is a single, front-loaded sentence that clearly states the action and target resource. Every word earns its place, and there is no redundant filler or unnecessary detail.

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 zero-parameter tool with an output schema, the description is minimally adequate for understanding the core operation. However, it lacks behavioral context, usage guidance, and fails to reconcile the contradictory destructiveHint annotation, so it is not fully complete for an agent deciding when and how to invoke 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?

The input schema is empty with no required or optional parameters, so there is nothing for the description to document. Per the baseline for zero-parameter tools, the description does not need to add parameter details, and it does not harm clarity.

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, 'Add a new pet to the store,' making the tool's purpose immediately clear and distinguishing it from siblings like updatePet, deletePet, and findPetsByStatus. The word 'new' reinforces that this is a create 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?

The description gives no guidance on when to use this tool versus alternatives. It does not mention that updatePet should be used for modifying existing pets, nor does it state any prerequisites or exclusions. The usage context is only implied by the phrase 'Add a new pet.'

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?

The description 'Create user.' adds no behavioral details beyond the annotations, which already flag destructiveHint=true and readOnlyHint=false. It provides no context about side effects, auth requirements, response behavior, or any constraints. It does not contradict the annotations, but it offers no additional 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 extremely short, but this is under-specification rather than efficient conciseness. The two-word phrase carries no information beyond what the tool name already expresses, so the single sentence does not earn 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?

Even with no parameters and an output schema, the description is insufficiently complete. An agent receives no context about whether this is the singular creation endpoint, how it relates to createUsersWithListInput, what the operation destroys or overwrites, or what a successful result looks like.

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?

There are zero parameters, so the schema already covers all input semantics with 100% coverage. The description has nothing to add, and no compensation is required.

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 word-for-word restatement of the tool name: 'createUser' becomes 'Create user.' It names a verb and resource but adds no detail that the name doesn't already contain. It also does not explicitly distinguish this singular operation from sibling createUsersWithListInput.

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 say when to prefer createUser over createUsersWithListInput, nor does it mention that updateUser or deleteUser operate on existing users.

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 already declare readOnlyHint=false and destructiveHint=true, but the description adds no behavioral context beyond 'creates'. It does not disclose what happens to existing users, whether partial failures are possible, or what side effects the destructive hint refers to.

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, tight sentence with no filler or redundant details. It front-loads the core action and object clearly.

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 documented parameters yet the description depends on an undefined 'input array'. Combined with only minimal behavioral disclosure, an agent cannot confidently invoke this tool correctly without additional assumptions.

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 description mentions 'given input array', but the input schema has zero properties, so the agent is not told how to supply the array. This is an ambiguous introduction of an input that the schema does not document, failing the 0-parameter baseline.

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 ('Creates') and resource ('list of users'), making the operation immediately clear. It also distinguishes itself from the sibling createUser tool by indicating a plural list 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?

The description implies bulk creation via 'list of users', but it does not explicitly state when to prefer this over createUser or provide exclusion criteria. Usage context is inferred rather than explained.

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 already declare destructiveHint true and readOnlyHint false, so the description adds only the fact that the target is a purchase order. It does not disclose consequences beyond deletion, such as what happens if the order is already fulfilled or whether deletion is permanent, but the core destructive behavior is covered by annotations.

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

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

The description is a single, compact sentence that front-loads the action, resource, and selection criterion. There is no fluff or redundancy, and it is appropriately sized for a simple delete operation.

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?

Although the tool is simple and has an output schema, the description omits the critical fact that no identifier parameter is exposed in the schema despite claiming deletion 'by identifier.' An agent cannot correctly invoke this tool without knowing how to specify the target order, so the definition is incomplete in a practical, call-blocking way.

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

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

The schema defines zero parameters, so there is nothing for the description to document. However, the description explicitly references an 'identifier' that has no corresponding property in the input schema, creating confusion about what input the agent should provide. This makes the description actively misleading rather than helpful for parameterization.

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 ('Delete') and resource ('purchase order'), which makes the tool's purpose immediately clear and distinguishes it from sibling delete tools like deletePet and deleteUser. 'By identifier' adds context on the selection criterion, though it is not reflected in the input 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?

No guidance is given on when to use this tool versus alternatives such as getOrderById, placeOrder, or deletePet/deleteUser. The usage context is only implied by the resource name, and no exclusions or prerequisites 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?

The annotations already declare destructiveHint=true and readOnlyHint=false, so the description's 'Deletes a pet' adds no behavioral information beyond what structured data already provides. It does not disclose side effects, auth needs, or any constraints on deletion.

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, tightly scoped sentence with no filler. It is appropriately short for a trivial operation and the key action 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 zero-parameter delete operation with annotations covering destructiveness/idempotency and an output schema present, the description is largely sufficient. The only notable gap is the lack of any mention of how the pet is identified, but the input schema shows no parameters, so this is not required by the given context.

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 tool has zero parameters and the schema coverage is 100%, so the description needs to explain no parameter semantics. With no parameters, a baseline score of 4 is appropriate because there is nothing for the description to add.

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 ('Deletes') and a clear resource ('a pet'), making the operation obvious. It distinguishes this tool from sibling delete tools like deleteOrder and deleteUser by naming 'pet' as the target.

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 sibling alternatives. There is no mention of prerequisites, conditions for deletion, or when another delete/update tool might be more 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?

Annotations already declare destructiveHint=true and idempotentHint=true, so the description adds nothing beyond restating the destructive nature. It does not disclose any additional behavioral traits such as permanence, cascading effects, or error handling, and it does not contradict the annotations.

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

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

The description is a single, front-loaded sentence that is appropriately concise for a simple delete operation. It contains no fluff, though it may be excessively terse given the missing usage context.

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 parameters, which is unusual for a delete operation, and the description does not explain how the target user is determined (e.g., via authentication context or a default). It also lacks any mention of the return value or consequences, leaving a critical operational gap for an agent deciding to invoke 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?

Since there are zero parameters and schema coverage is 100%, the baseline is 4. The description adds nothing about parameters because there are none; no gaps to compensate for.

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 'Delete user resource' uses a specific verb and resource, clearly distinguishing it from createUser and updateUser. However, it does not clarify how the user is identified (e.g., by username or ID), which is a minor ambiguity but not fatal for purpose clarity.

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, no prerequisites, and no mention of expected input context. The sentence is purely a definition, leaving the agent to infer usage from the 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds no behavioral context beyond the status filter—no mention of default behavior, pagination, empty results, or what happens if status is unspecified. It earns only minimal credit for not contradicting the annotations.

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

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

A single short sentence with no filler, and the key filtering dimension is front-loaded. It is concise but verges on under-specification because it omits operational details; still, for pure conciseness and structure it is well-formed.

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?

Although an output schema is present and annotations cover read-only/idempotent behavior, the description fails to explain the crucial status dimension: what values are valid, whether the parameter is required, or how to specify it. Since the schema has no parameters, the description is the only place this could be clarified, and it leaves a critical 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?

With zero parameters in the schema, the description's 'by status' is the only hint that a filter should exist, but it provides no way to supply it, no allowed values, and no syntax. The description introduces semantic meaning the schema does not support, leaving an agent unable to actually invoke the intended filter.

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 verb-resource pair ('Finds Pets') and a specific filter ('by status'), which distinguishes this from siblings like findPetsByTags and getPetById. However, it mostly restates the tool name and provides no detail on what statuses exist, so it stops short of a fully informative 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?

Usage is only implied by the tool name and the phrase 'by status': an agent can infer this is the tool to use when filtering pets by lifecycle status. There is no explicit guidance about when to prefer this over findPetsByTags or other sibling tools, nor any mention of 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?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false, and the description adds no behavioral detail beyond them. It does not disclose tag-matching semantics (e.g., all/any), output behavior, or any caveats.

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 four words, the description is extremely concise and front-loaded with the verb and resource. It contains no filler, though the brevity borders on under-specification rather than elegant economy.

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 an output schema and read-only annotations, return-value and safety details are covered, but the description still misses how tags are supplied and how the filtering behaves. An agent cannot reliably map the described behavior to a valid 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?

The input schema is empty, so there are no parameters for the description to clarify; however, the description introduces 'tags' as the operative criterion while the schema exposes no way to provide it. This leaves the parameter contract ambiguous and potentially misleading, so the 0-parameter baseline is not earned.

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 action ('Finds') and resource ('Pets') with a specific filtering criterion ('by tags'), which distinguishes it from sibling findPetsByStatus at a glance. However, it is very close to the tool name and does not define what a tag is or how tags are supplied.

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 findPetsByStatus, getPetById, or getInventory, and no exclusionary notes. The description only states what the tool does, not when to use 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?

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the 'by status' aggregation context but reveals no extra behavioral traits such as response shape or status values; the output schema is expected to carry that.

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

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

A single front-loaded sentence with no filler or repetition. It states the operation and the distinguishing characteristic 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 no-parameter, read-only endpoint with an output schema, the description is nearly complete. The main gap is not explicitly distinguishing this from findPetsByStatus, and 'by status' is slightly ambiguous, so it is slightly below fully self-sufficient.

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 zero parameters and 100% schema description coverage (vacuously), so there is nothing to document. The description's 'by status' could be misread as a parameter, but it likely describes the returned aggregation; with no parameters, this is adequate.

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 clear verb and resource: 'Returns pet inventories by status.' However, it does not differentiate from the sibling petstore-api.findPetsByStatus, whose name suggests a similar status-based lookup, so it is clear but not maximally distinctive.

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 statement implies that the tool is for retrieving pet inventories grouped by status, but it gives no explicit when-to-use guidance or mention of alternatives such as findPetsByStatus. An agent can infer the use case, but nothing tells it when not to use 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?

The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the tool's non-mutating and safe nature. The description adds the 'by ID' scoping, implying an identifier is required, but it does not disclose error behavior (e.g., 404 on missing order) or return format. Given the annotations provide the core safety profile, a 3 is appropriate: the description adds a small amount of behavioral context without full 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 a single, front-loaded sentence with no extraneous words, achieving excellent conciseness. However, the extreme brevity omits critical parameter information, so while the structure is clean, the content is insufficient. It earns a 4 for efficiency but loses a point for under-specification.

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 that appears to require an order ID, the description fails to specify how to provide it, and the schema is empty. Even though annotations confirm read-only behavior and an output schema exists, the agent lacks the essential parameter detail needed to call the tool correctly. The description is far too thin to be considered complete for this 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?

The input schema is empty, so the description is solely responsible for conveying parameter meaning. It mentions 'by ID', implying a required order ID parameter, but provides no detail on how to pass it (e.g., path, query, body) or its format. With zero parameters defined in the schema and only a vague 'by ID' hint, an agent cannot construct a valid invocation, making parameter semantics inadequate.

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 a specific verb ('Find') and resource ('purchase order') with a scope ('by ID'), making the tool's purpose understandable. However, it does not differentiate explicitly from sibling tools like getPetById or getUserByName, which follow a similar pattern. The purpose is clear enough for an agent to know what it does, but the lack of parameter detail slightly reduces clarity.

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 such as getPetById or getInventory. There is no mention of use cases, exclusions, or conditions that would lead an agent to choose this tool over others. This leaves the decision entirely to the agent's 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?

Annotations already cover read-only, idempotent, and non-destructive behavior, and the description does not contradict them. However, the description adds no further behavioral context, such as 404 behavior when the pet does not exist or any authentication expectations.

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 that gets straight to the point with no filler or redundant restating of annotations or schema. It is front-loaded and easy to parse.

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

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

Given the tool's low complexity and the presence of annotations and an output schema, the description is minimally adequate. However, the missing parameter mechanism and lack of any fallback/error context leave a meaningful gap for an agent trying 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?

The description says 'by ID,' implying an identifier parameter, but the input schema contains zero properties, required fields, or enums. This mismatch makes it unclear how an agent is supposed to supply the pet ID, so the description fails to add actionable parameter meaning.

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 ('Find') and a clear resource ('pet') with the lookup key (ID), which distinguishes it from sibling petstore tools like findPetsByStatus and findPetsByTags. It is concise and readable, though it does not describe the returned pet representation beyond what the output schema provides.

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 about when to use this tool versus alternatives such as findPetsByStatus, findPetsByTags, or getOrderById. It also fails to state prerequisites, such as needing a known pet ID before calling 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safe, read-only nature is fully established. The description adds no additional behavioral context such as error handling, auth requirements, or response shape, but for a straightforward fetch operation this is acceptable. No contradiction with annotations.

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

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

The description is one clear sentence with no wasted words. The operation is front-loaded and immediately comprehensible.

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?

Together with the annotations and output schema, the description is largely complete for selecting and invoking the tool. The only minor gap is the lack of explicit mention of how the username is provided given the empty input schema, but this does not hinder comprehension.

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 zero parameters, so the baseline is 4. The description adds useful semantic meaning by indicating the user is identified by name, even though the schema lacks an explicit username parameter. It doesn't specify parameter format, but with no parameters to document, this is sufficient.

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 ('Get') and resource ('user by user name'), making it immediately clear what the tool does. It is easily distinguished from sibling tools like createUser, updateUser, and deleteUser, and the username qualifier prevents confusion with other get-by-id 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?

No explicit guidance is provided about when to use this tool versus alternatives, but the verb and resource make the intended use obvious. It is implied that this is for retrieving a single user by name, though no exclusions or alternative conditions are stated.

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

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

Annotations already declare the operation as read-only and idempotent. The description adds no additional behavioral context, such as session/token behavior, authentication requirements, or side effects.

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 filler and no redundant restating of the title. It is efficiently 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 no parameters, an output schema, and safety annotations, this is mostly complete. The main gap is the absence of any detail about what 'logging in' produces or requires, such as a session token.

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 zero parameters, so the description has no parameter-level detail to add. With 0 params, this is the expected baseline.

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 ('logs') with a clear resource ('user') and target state ('into the system'). It is easily distinguishable from sibling tools like logoutUser, createUser, and getUserByName.

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, what prerequisites exist, or which alternatives might be preferred. The agent must rely entirely on the tool's name.

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?

The description says 'Logs out', which is a state-changing operation, while annotations declare readOnlyHint=true, indicating the tool does not modify its environment. This is a direct annotation contradiction, so behavioral transparency must be scored as 1.

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 six-word sentence with no filler or redundant endpoint details. It is front-loaded and appropriately sized for a zero-parameter operation.

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 no-parameter logout operation with an output schema, the description is mostly complete. It could add explicit authentication/session prerequisites, but the essential action and target are sufficiently clear.

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?

There are zero parameters, and the input schema is empty with 100% coverage. The baseline for no parameters is 4, and the description adds useful context by indicating that the operation implicitly targets the current logged-in session.

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, 'Logs out', and a clear resource, 'current logged in user session'. This distinguishes it from related sibling operations like loginUser, getUserByName, and deleteUser, even without naming them.

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 'current logged in user session' implies a prerequisite of an active session and scopes the tool to the current user. However, it does not explicitly mention when to use this over alternatives such as loginUser or deleteUser, nor what happens without an active session.

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?

The annotations already mark this as non-read-only and destructive, but the description adds no behavioral context beyond the literal action. It does not say whether a new order is created, inventory is changed, or what side effects the caller should expect.

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

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

The description is a single concise sentence with no filler or redundancy, and the core action is front-loaded. It earns its place but is perhaps shorter than needed to carry the behavioral and usage context that is missing.

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 mutation tool, the description is too thin: it does not explain how an order is identified, what inputs are expected (despite an empty schema), or what side effects occur. The output schema may cover return values, but the description omits the surrounding business context an agent needs to call this 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?

The input schema has zero parameters, so there is nothing the description needs to add. With an empty schema, the baseline for parameter semantics is 4; the phrase 'for a pet' weakly suggests the order context but no parameter documentation is required.

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 action and target ('Place an order for a pet'), so an agent can identify this as the order-creation tool among the petstore siblings. It is clear but does not explicitly contrast with sibling creation tools such as addPet, so it misses the full differentiation 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?

No guidance is given about when to use placeOrder rather than addPet, createUser, or the other creation tools. There are no prerequisites, no mention of login/inventory requirements, and no 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?

Annotations already signal readOnly=false, idempotent=true, and destructive=true, and the description does not contradict them. It adds only 'existing pet', implying the target must already exist, but provides no detail about replacement semantics, error behavior, or what data is overwritten. Minimal value beyond the annotations.

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

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

'Update an existing pet.' is extremely concise, front-loaded, and contains no filler or redundant phrasing. 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?

Despite having annotations and an output schema, the description lacks operational context: it does not explain how this differs from updatePetWithForm, what payload or input is expected, or whether the update replaces the entire pet. The empty input schema makes correct invocation ambiguous, and the sibling ambiguity is a significant gap.

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

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

The input schema has zero properties and zero required fields, so schema coverage is effectively 100% and there are no parameter semantics for the description to clarify. The baseline of 4 for zero-parameter tools applies.

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

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

Clearly states the verb (Update) and resource (existing pet), which distinguishes it from create, read, and delete tools. However, it does not differentiate from sibling updatePetWithForm, which also updates a pet, so it stops short of full sibling differentiation.

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

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

Provides no guidance on when to use this tool versus alternatives like updatePetWithForm, addPet, or deletePet. No conditions, exclusions, or comparison to siblings are given, leaving the agent to infer 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?

Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=false, and the description adds no behavioral context beyond that. For a destructive mutation, there is no disclosure of side effects or what 'form data' changes about the pet. No contradiction with annotations, but the description carries none of the burden.

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

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

A single, front-loaded sentence with no wasted words. It is efficient, though the vagueness of 'form data' means brevity comes at the cost of informativeness.

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 destructive mutation with zero documented parameters, no mention of the required pet ID, and no usage context, the description is incomplete. The output schema mitigates return-value concerns, but an agent still lacks enough information to invoke this tool correctly.

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

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

The schema exposes zero parameters, so the baseline is 4, but the description only gestures at 'form data' without enumerating fields (e.g., name, status) or indicating that a pet identifier is required. Since the empty schema leaves the agent with no parameter information and the description doesn't compensate, 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 uses a specific verb ('Updates'), a resource ('a pet'), and a method qualifier ('with form data'). This implicitly distinguishes it from the sibling updatePet (which likely uses a JSON body), though it doesn't name the sibling 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?

No guidance is given on when to choose this tool over updatePet, addPet, or other sibling tools. There are no usage conditions, exclusions, or prerequisites stated anywhere in the description.

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?

The annotations already disclose destructiveHint=true, idempotentHint=true, and readOnlyHint=false. The description adds no behavioral detail beyond repeating the update intent, such as whether the update is partial or full replacement, whether the user must exist, or what 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?

The description is a single, direct sentence with no filler. Every word contributes to the core purpose, and nothing extraneous is present.

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, has no parameters, and has an output schema, which lowers the burden on the description. However, it lacks useful context about the operational effect, prerequisites, or how the target user is identified, so it is adequate but not complete.

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

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

The tool has zero parameters and schema coverage is 100%, so there are no parameter semantics to document. The description does not need to compensate for missing schema information.

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 verb and resource: 'Update user resource.' It is immediately distinguishable from sibling user operations like createUser, getUserByName, and deleteUser, and distinct from non-user 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?

No guidance is provided about when to use this tool versus alternatives such as createUser, getUserByName, or deleteUser. The description only states the action, so the agent must infer usage 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?

Annotations already mark this as destructive and non-idempotent, and the description adds no behavioral detail beyond the obvious write action implied by 'Uploads'. It does not mention overwrite behavior, side effects, authentication requirements, or what happens to existing images.

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, but it is closer to under-specification than to genuinely helpful conciseness. It does not waste words, but it also provides very little operational substance beyond the verb and object.

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 input parameters, no usage guidance, and no explanation of how an image is supplied, an agent cannot confidently invoke this tool correctly. The presence of an output schema reduces the need to describe return values, but the gap in how the upload actually works remains significant.

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 tool has zero parameters and zero required fields, so there is no parameter ambiguity for the description to clarify. The schema already fully covers the argument surface, and with no parameters the description is not expected to compensate for missing 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 clear verb ('Uploads') and a clear resource ('an image'), making it immediately understandable as an image-upload operation. It is reasonably distinguishable from petstore sibling operations like addPet or createUser, although it does not specify the destination or association context.

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 about when to use this tool versus related petstore operations, nor any mention of prerequisites, pairing with pet creation, or when not to use it. The agent is left to infer 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the 'available' qualifier, implying only supported countries are returned, but does not disclose other behavioral details such as ordering or data source. This is acceptable given the tool's simplicity.

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 words or redundant information. It fully captures the tool's purpose in minimal space.

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 parameterless, read-only, idempotent tool with an output schema, the description is sufficient. An agent can safely invoke it without needing additional context. The only missing element is usage guidance, which is already accounted for in the usage_guidelines dimension.

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 tool has zero parameters and the schema is fully complete, so no parameter documentation is required. The baseline of 4 applies because the description has no parameter burden to carry.

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 ('Get') and resource ('available countries'), and clearly identifies the tool's output as a list. Although it closely mirrors the tool name, it is specific enough to distinguish from sibling tools like getPublicHolidays.

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. It does not mention that this is likely a prerequisite for getPublicHolidays, nor does it state any scenarios where another tool would be preferred.

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 already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. However, the description adds no extra behavioral context (e.g., rate limits, required authentication, or format of results), and it fails to clarify how the tool receives country and year despite the empty schema. No contradiction exists, but it does not enrich the annotation-provided information.

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 that states the core function with no filler. It is easy to parse and front-loads the key information.

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

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

Given the tool's simplicity, the description is too thin. The empty schema combined with the description's claim of country/year inputs leaves the agent without a clear calling convention. The output schema exists, but the input gap is critical; the description does not resolve how to specify required data, making the tool effectively unusable without guessing.

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

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

The schema has zero properties, yet the description mentions country and year as inputs. This is a major inconsistency: the description implies parameters that the schema does not define, and it omits any format, type, or encoding details. Baseline for 0 params is 4, but the description's vague mention without schema support fails to give the agent usable semantics.

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 a specific verb (Get), resource (public holidays), and scope (for a country and year). It distinguishes this from sibling getAvailableCountries by implying the agent needs a specific country and year, making the purpose unambiguous.

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

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

No guidance is provided on when to use this tool versus alternatives. It does not mention that getAvailableCountries should be called first to obtain valid country codes, nor does it specify any prerequisites. The agent is left to infer the relationship between sibling tools.

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

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

Annotations already signal read-only and non-destructive behavior. The description adds a meaningful limitation—'does not render JavaScript'—which agents need to know before trusting the extracted design system. This goes beyond what annotations provide.

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 filler. The core purpose and extracted items are front-loaded, and the critical rendering limitation is stated concisely at the end. Every part earns its place.

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

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

For a one-parameter read-only tool with an output schema and safety annotations, the description is largely complete. The only notable omission is explicit guidance to use the generic webscrape.scrape sibling when JavaScript rendering is required.

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 the single parameter 'url' is already described as 'The URL to analyze'. The description adds no further semantic detail beyond referring to a 'webpage', so the baseline 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 states a specific action ('Analyze a webpage and extract its design system') and enumerates concrete outputs (colors, fonts, font sizes, spacing, layout patterns, class names). This makes it clearly distinguishable from the sibling webscrape.scrape without needing to open 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?

The static-HTML caveat implies the intended context, but the description does not explicitly say when to use this tool versus webscrape.scrape or how to handle pages requiring JavaScript rendering. Usage is implied rather than directly guided.

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?

Beyond the readOnly and non-destructive annotations, the description discloses an important behavioral limitation: it does not render JavaScript, so dynamically loaded content will be missing. This is valuable, non-obvious context that helps an agent set expectations. No contradiction with annotations was found.

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 concise sentences with no fluff: the first states the action and expected outputs, and the second adds a critical limitation. It is front-loaded and every clause earns its place.

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

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

For a one-parameter scraping tool with an output schema and read-only annotations, the description is complete enough for an agent to invoke it correctly. It covers the input, the extracted content, and an important behavioral caveat, leaving no essential gap for this level of complexity.

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

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

The schema already fully documents the single 'url' parameter with a clear description ('The URL to scrape'), and schema coverage is 100%. The tool description adds no additional parameter-level meaning beyond what the schema provides, matching the baseline for full schema coverage.

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

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

The description clearly states the action, resource, and expected output ('title, headings, links, images, and text content'), making it easy to understand what the tool does. It does not explicitly differentiate itself from the sibling 'webscrape.extractDesign', though the listed structure fields imply a 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?

The description gives clear context about the tool's capability by noting it uses static HTML fetch and does not render JavaScript, which tells an agent this is not suitable for JS-rendered pages. It does not explicitly state when to use this tool over alternatives like 'webscrape.extractDesign', so it stops short of full routing guidance.

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