Server Quality Checklist

Tool Scores

• pika_explainerB
  3.3/5.0
  Behavior2/5

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

  With no annotations provided, the description holds the full burden of behavioral disclosure. It only states a high-level transformation without mentioning side effects (e.g., generating video artifacts, fetching external content), permissions, rate limits, or any constraints. The tool appears to be a creation tool, but the description doesn't convey whether it is read-only, mutates state, or consumes significant resources.

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

  Conciseness5/5

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

  The description is a single, front-loaded sentence that effectively communicates the core purpose without extraneous information. Every word earns its place: 'Turn' signals transformation, the input sources are enumerated, and the output is clearly described. It is exemplary in terms of brevity and clarity.

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

  Completeness2/5

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

  The tool has one parameter and an output schema, so the description doesn't need to explain return values. However, the description leaves a critical gap: how the 'written brief' is supplied through the 'url' parameter, and what limitations or prerequisites exist (e.g., whether the URL must be publicly accessible). It also doesn't differentiate this tool from its siblings, making it incomplete for an agent to select and invoke it correctly.

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

  Parameters2/5

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

  The schema has a single required 'url' field with no description, so schema coverage is 0%. The description mentions 'URL, GitHub repo, or written brief' as accepted inputs, which adds some meaning, but it doesn't clarify how a 'written brief' maps to a url string. This ambiguity is significant because the parameter is undocumented and the description fails to specify the exact format or encoding expected.

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

  Purpose5/5

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

  The description clearly states the tool's function with a specific verb ('Turn') and resource ('URL, GitHub repo, or written brief') into a 'polished explainer video.' It distinguishes itself from sibling tools like pika_generate or pika_skills by specifying both the input types and the output format, 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.

  Usage Guidelines3/5

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

  The description implies a use case: when you have a URL, GitHub repo, or written brief and want an explainer video. However, it does not explicitly state when to use this tool over alternatives, nor does it provide exclusions or prerequisites. For example, it doesn't mention that other Pika tools might be better for different video styles or input types, so guidance is only implicit.

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

• pika_generateB
  3.3/5.0
  Behavior2/5

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

  No annotations are provided, so the description carries the full burden of disclosing behavior. It only states 'Generate content' and instructs to pass params as JSON. It does not mention output format, potential cost, asynchronous processing, error handling, or side effects. This is a significant gap for a generation tool.

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

  Conciseness4/5

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

  The description is a single, well-front-loaded sentence followed by a list of skills and a brief instruction. The skill list is long but necessary given the absence of enums in the schema. Every part serves a purpose, though the list could be considered verbose; still, it is appropriately concise for the information conveyed.

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

  Completeness2/5

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

  Despite the presence of an output schema, the description is incomplete for a tool with 20 distinct skills. It does not explain how to construct the params JSON for any specific skill, leaving the user guessing about required fields. It also doesn't mention whether the tool returns a video, image, or other content, or how the generational process works (e.g., synchronous vs async). More per-skill guidance or examples are needed.

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

  Parameters3/5

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

  Schema coverage is 0%, so the description must compensate. It does provide the canonical list of valid values for the 'skill' parameter (acting as an enum) and clarifies that 'params' must be a JSON string. However, it omits the structure or keys expected within the params JSON for each skill, which is critical for correct invocation.

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

  Purpose5/5

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

  The description clearly states the tool's purpose: generate content using a Pika creative skill. It lists all valid skill names, which both specifies the resource and distinguishes this generic tool from the specialized sibling tools (e.g., pika_build_brand, pika_app_sizzle). The verb 'generate' is specific and action-oriented.

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

  Usage Guidelines3/5

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

  Usage is implied: the user must choose a skill from the listed set and pass params as a JSON string. However, there is no explicit guidance on when to use this generic tool versus the specialized sibling tools, nor any mention of prerequisites (e.g., calling pika_skills first) or exclusions.

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

• get_listingsA
  3.6/5.0
  Behavior4/5

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

  With no annotations provided, the description carries the transparency burden. It adds valuable behavioral context by disclosing a cost of $0.001 USDC/query and a maximum return of 100 tokens ranked by market cap. It does not mention pagination or error conditions, but the disclosed cost and output limit go beyond what the schema offers, earning a 4.

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

  Conciseness5/5

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

  The description is concise, consisting of three short sentences. The purpose is front-loaded, and each sentence adds information: what it returns, how many, and the cost. There is no filler or unnecessary detail, making it highly efficient.

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

  Completeness3/5

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

  The presence of an output schema covers return values, and the tool is simple with two optional parameters. However, the lack of parameter explanations and usage guidance leaves gaps for correctly invoking the tool with the right 'limit' and 'start' values. It is adequate for a listing tool but not fully complete.

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

  Parameters1/5

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

  The input schema has 0% description coverage and the description does not explain the 'limit' or 'start' parameters. Even the 'up to 100 tokens' mention is not explicitly tied to the 'limit' parameter, and 'start' is completely unexplained. The description fails to compensate for the missing schema parameter descriptions.

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

  Purpose5/5

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

  The description uses a specific verb ('Get') and clearly identifies the resource ('top token listings by market cap'). It distinguishes itself from sibling tools like search_token or get_trending by specifying the ranking criterion (market cap). The added detail about returning up to 100 tokens reinforces the purpose.

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

  Usage Guidelines3/5

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

  The purpose statement implies a use case (retrieving top tokens by market cap), but it provides no explicit guidance on when to use this tool versus alternatives like search_token or get_trending. There is no when-not-to-use information or comparison to siblings, so it stays at an implied level.

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

• output_enforcer_breakersA
  3.6/5.0
  Behavior2/5

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

  With no annotations, the description carries the full burden of disclosing behavioral traits. It only states that it retrieves status, but does not clarify whether the operation is read-only, what constitutes 'circuit breaker status,' or any potential side effects. A 'get' operation is typically safe, but this is not explicitly confirmed.

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

  Conciseness5/5

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

  The description is a single, front-loaded sentence that conveys everything needed with no wasted words. It earns its place entirely.

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

  Completeness4/5

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

  For a simple parameterless tool with an output schema, the description is largely complete. It clearly states what is returned (status for all tools), and the output schema presumably covers the detailed structure. However, it could benefit from explaining what circuit breakers are or when to consult this status, but this is not critical given the simplicity.

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

  Parameters4/5

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

  The tool has zero parameters, so the schema already fully describes the lack of inputs. Per the rubric, a baseline of 4 is appropriate when there are no parameters, and the description adds no further parameter semantics because none exist.

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

  Purpose5/5

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

  The description clearly states the tool's function: 'Get circuit breaker status for all tools.' It uses a specific verb ('Get') and resource ('circuit breaker status for all tools'), and distinguishes itself from siblings like 'output_enforcer_status' by adding 'for all tools' and focusing on breakers specifically.

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

  Usage Guidelines2/5

  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 whether this is the go-to for checking breakers, nor does it reference sibling tools like 'output_enforcer_clear' for actions like resetting breakers. Users are left to infer usage context.

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

• get_dex_pairsA
  3.7/5.0
  Behavior3/5

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

  Without annotations, the description carries full responsibility. It discloses the cost ($0.001 USDC/query) and the return fields (price, volume, liquidity), which adds behavioral context. However, it does not mention failure modes, symbol format expectations, or any side effects, leaving gaps.

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

  Conciseness5/5

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

  The description is two concise sentences, front-loaded with the core purpose and followed by return fields and cost. Every sentence adds value with no unnecessary detail.

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

  Completeness4/5

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

  For a simple tool with one parameter and an output schema, the description is fairly complete. It states the cost and return fields, which are essential for usage, and the output schema covers return structure. It lacks some operational context like error handling, but it is adequate for a straightforward query tool.

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

  Parameters2/5

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

  Schema description coverage is 0%, so the description must compensate. The single parameter 'symbol' is only vaguely referenced as 'a token,' which adds little beyond the parameter name itself. It does not clarify the expected format (e.g., ticker symbol vs. full name) or any constraints.

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

  Purpose5/5

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

  The description clearly states the tool gets DEX pair data for a token across exchanges, specifying the resource (DEX pairs) and the verb (get). It also distinguishes from sibling tools like get_quote or search_token by focusing on DEX pair data with price, volume, and liquidity.

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

  Usage Guidelines3/5

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

  The description implies usage for DEX pair data but provides no explicit guidance on when to use it versus alternatives like get_quote or search_token. It does not mention any exclusions or prerequisites, so usage context is only implied.

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

• get_quoteA
  3.7/5.0
  Behavior3/5

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

  No annotations are present, so the description carries the behavioral disclosure burden. It does disclose the important $0.001 USDC/query cost and supports comma-separated symbols, which is valuable. However, it omits payment prerequisites, rate limits, and failure behavior, leaving a partial picture.

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

  Conciseness5/5

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

  The description is just two sentences, front-loaded with the main action, and includes practical examples and the key cost constraint. Every sentence adds useful information with no waste.

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

  Completeness4/5

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

  This is a simple one-parameter tool with an output schema, so return-value details are covered. The description covers purpose, input format, and the major side effect (cost). It lacks explicit sibling differentiation and payment prerequisites, but is otherwise complete for a straightforward quote tool.

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

  Parameters4/5

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

  The input schema only defines 'symbol' as a string with no description. The description compensates by explaining that multiple comma-separated symbols are supported and gives 'BTC' and 'BTC,ETH,SOL' as examples. This meaningfully clarifies the parameter beyond the schema, though it does not address case sensitivity or edge cases.

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

  Purpose4/5

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

  The description clearly states the action ('Get current price quote') and the resource ('crypto symbols'), with concrete examples of valid inputs. However, it does not distinguish this tool from siblings like rh_crypto_quote or algorand_get_quote, so it stops short of a 5.

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

  Usage Guidelines3/5

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

  The description implies usage when a current crypto price is needed and gives input formatting guidance, but it does not explicitly state when to prefer this tool over alternatives or when not to use it. No exclusions or alternative tool names are provided.

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

• pika_app_sizzleA
  3.7/5.0
  Behavior2/5

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

  With no annotations, the description offers minimal behavioral detail beyond the core function; it does not disclose whether the process is asynchronous, how long it takes, or any side effects, so the agent is left guessing about the tool's 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.

  Conciseness5/5

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

  One sentence, action-first, with no wasted words; every part contributes meaning.

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

  Completeness3/5

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

  The description covers what and how but is thin on operational context; while the output schema could cover return values, the lack of any guidance on prerequisites or edge cases limits completeness for a tool with no annotations.

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

  Parameters4/5

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

  The single 'url' parameter has zero schema description, but the description compensates by specifying acceptable URL types (app store link, product screens, GitHub repo URL), giving concrete guidance for what to pass.

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

  Purpose5/5

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

  The description uses a specific verb 'Create' and specifies the deliverable '15-second launch video' plus input sources (app store link, product screens, GitHub repo URL), clearly distinguishing it from sibling tools like pika_generate or pika_explainer.

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

  Usage Guidelines3/5

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

  The description implies usage when you have an app store link, product screens, or GitHub URL and want a launch video, but it does not explicitly state when not to use it or mention alternatives, leaving the choice among sibling tools ambiguous.

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

• search_tokenA
  3.7/5.0
  Behavior4/5

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

  With no annotations, the description provides useful behavioral details: what is returned and the cost per query. It does not discuss authentication or rate limits, but for a simple read-only search tool, the disclosure is adequate.

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

  Conciseness5/5

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

  The description is two concise sentences, front-loaded with the main purpose, followed by return details and cost. Every sentence adds value with no waste.

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

  Completeness4/5

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

  The tool is simple, and with an output schema present, the description covers the essential return fields and cost. It could mention behavior on unknown symbols or symbol format, but overall it is sufficient for basic use.

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

  Parameters2/5

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

  The schema has 0% description coverage for the 'symbol' parameter. The description only repeats 'by symbol' without offering format, examples, or case sensitivity, failing to compensate for the lack of schema detail.

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

  Purpose5/5

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

  The description clearly states the tool's function: searching for crypto token information by symbol. It also lists specific return fields (metadata, description, tags, logo URL), which distinguishes it from sibling tools like get_quote or get_listings.

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

  Usage Guidelines2/5

  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 vs alternatives, nor does it mention exclusions or related tools. The usage context is only implied through the description itself.

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

• algorand_verify_paymentA
  3.8/5.0
  Behavior3/5

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

  With no annotations, the description carries the full burden. It discloses that verification returns a session token on success, but does not mention potential side effects (e.g., consuming the proof), failure behavior, or authentication requirements. This is partial transparency.

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

  Conciseness5/5

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

  The description is a single concise sentence that states the purpose and the key outcome. It is well-structured and front-loaded, with no filler or redundancy.

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

  Completeness3/5

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

  The tool has an output schema, so return values are presumably documented. However, the description lacks broader context, such as where this fits in the overall payment flow, prerequisites, or what the session token is used for. It is adequate for a simple verification tool but misses opportunity to explain edge cases or flow.

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

  Parameters2/5

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

  The schema has one required parameter 'payment_proof' with 0% description coverage. The description does not explain what the proof should look like, its format, or any constraints. The parameter name is somewhat self-explanatory, but the description adds no semantic detail beyond the schema.

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

  Purpose5/5

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

  The description uses a specific verb 'verify' with a clear resource ('x402 payment on Algorand') and specifies the facilitator. This precisely distinguishes it from sibling tools like 'rh_verify_payment' and 'algorand_get_quote', making the purpose immediately clear.

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

  Usage Guidelines4/5

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

  The description conveys the usage context: verifying an x402 payment specifically on Algorand through GoPlausible. While it does not explicitly state when not to use it or name alternatives, the Algorand and GoPlausible specifics give sufficient guidance relative to sibling tools.

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

• output_enforcer_violationsA
  3.8/5.0
  Behavior3/5

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

  With no annotations provided, the description carries the full burden. The word 'Get' strongly implies a read-only operation, and the mention of 'recent' and filtering adds context. However, it does not disclose any potential limitations (e.g., maximum number of results, pagination, or auth requirements), which prevents a higher score.

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

  Conciseness5/5

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

  The description is a single, concise sentence that front-loads the main action and then hints at optional parameters. Every word earns its place with no redundancy or fluff.

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

  Completeness4/5

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

  Given the tool's simplicity, the presence of an output schema, and fully documented parameters, the description adequately covers the essentials. It could mention the relationship to sibling tools or clarify that the time window is in hours, but the schema supplies those details, so it is sufficiently complete.

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

  Parameters3/5

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

  Schema description coverage is 100%, and the description simply reiterates the filtering behavior already captured in the schema ('Filter by tool name and time window'). It adds no new meaning beyond what the schema provides, so it meets the baseline but does not exceed it.

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

  Purpose5/5

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

  The description clearly states a specific action ('Get') and resource ('recent validation violations'), making the tool's purpose immediately apparent. It also distinguishes itself from sibling tools like output_enforcer_status and output_enforcer_clear by focusing on violations specifically.

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

  Usage Guidelines3/5

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

  The description implies when to use the tool (when you want recent validation violations) and mentions filtering options, but it does not explicitly contrast it against sibling tools or state exclusions (e.g., 'for status use output_enforcer_status'). This is adequate but not explicit.

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

• algorand_get_quoteA
  3.9/5.0
  Behavior3/5

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

  With no annotations, the description must carry the full behavioral burden. It discloses cost and the session prerequisite, which is valuable. However, it does not describe error behavior, idempotence, or whether the session token is consumed. For a simple getter, this is adequate but not fully transparent.

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

  Conciseness5/5

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

  Three short sentences with all information (purpose, prerequisite, cost) front-loaded. No redundant words.

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

  Completeness4/5

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

  The tool has two required parameters and an output schema, so return values are covered. The description covers purpose, prerequisite, and cost. Missing error-handling details but overall complete for a simple quote tool. Sibling context is clear.

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

  Parameters2/5

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

  Schema description coverage is 0%, so the description must compensate. It explains session_token via the prerequisite but provides no detail on symbol format or examples. The description adds minimal meaning beyond parameter names.

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

  Purpose5/5

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

  The description clearly states the tool's function with a specific verb ('Get real-time crypto price quote') and resource ('Algorand x402'), distinguishing it from sibling quote tools like 'get_quote' and 'rh_crypto_quote' through the platform reference and session requirement.

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

  Usage Guidelines4/5

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

  It explicitly identifies a prerequisite ('Requires valid session from algorand_verify_payment'), indicating the correct sequence of tool calls. It doesn't mention alternatives, but the context is clear enough for an agent to know when 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.

• pika_build_brandA
  3.9/5.0
  Behavior3/5

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

  With no annotations, the description carries the transparency burden. It discloses what the tool creates (brand strategy, tone of voice, etc.), but doesn't mention any side effects, permissions, or limitations. It stops short of describing the process or any non-obvious behaviors like overwriting files or requiring additional setup.

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

  Conciseness5/5

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

  The description is a single sentence that is front-loaded with the primary action and enumerates outputs without redundant wording. Every phrase earns its place.

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

  Completeness3/5

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

  The description covers purpose and outputs, and an output schema likely handles return values. However, it lacks detail on input quality, tool behavior, or edge cases. Given the tool's complexity (generating a full brand identity), more contextual guidance would be helpful.

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

  Parameters3/5

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

  The schema simply defines 'brief' as a required string with 0% schema description coverage. The description adds that the input is a 'product brief', which gives some semantic meaning, but it doesn't specify what a complete brief should contain or any format expectations, leaving the agent to guess.

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

  Purpose5/5

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

  The description uses a specific verb ('Generate') and resource ('complete brand identity from a product brief'), and enumerates concrete deliverables (brand strategy, tone of voice, logo direction, color palette, typography, brand.md). This clearly distinguishes it from sibling tools like pika_generate or pika_explainer.

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

  Usage Guidelines4/5

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

  The context is clear: use when you have a product brief and need a brand identity. It doesn't provide explicit exclusions or alternative tool recommendations, but the input condition ('from a product brief') gives adequate guidance.

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

• get_trendingA
  4/5.0
  Behavior3/5

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

  With no annotations, the description carries the full burden. It usefully discloses the cost per query ($0.001 USDC/query), which is a notable behavioral trait. However, it omits other transparency details such as whether the operation is read-only, requires authentication, or how the output is structured. The cost disclosure is valuable but insufficient for comprehensive transparency.

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

  Conciseness5/5

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

  The description is two sentences, front-loaded with the main purpose and followed by the options and cost. Every sentence adds value: the first states what it does, the second gives essential operational details. No fluff or redundant wording.

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

  Completeness4/5

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

  The tool is low-complexity (one optional parameter, no required fields) and has an output schema, so the description need not explain return values. It covers purpose, options, and cost. Missing context like rate limits or authentication is minor given the tool's simple read-only nature.

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

  Parameters4/5

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

  The input schema provides a single 'kind' parameter with a default but no enum or description. The description compensates by explicitly listing the valid options (gainers, losers, most_visited, latest), giving the parameter clear meaning beyond the schema. Since schema coverage is 0%, this is a meaningful addition.

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

  Purpose5/5

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

  The description clearly states 'Get trending crypto data' with a specific verb and resource, and enumerates concrete options (gainers, losers, most_visited, latest). This distinguishes it from sibling tools like get_quote or search_token, 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.

  Usage Guidelines3/5

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

  The description implies usage for fetching trending categories but does not explicitly state when to prefer this tool over alternatives like get_listings or search_token. No exclusions or alternative tool references are provided, so guidance remains implicit.

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

• output_enforcer_statusA
  4/5.0
  Behavior3/5

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

  No annotations are provided, so the description carries the disclosure burden. 'Get status' clearly indicates a read-only operation, and the listing of components gives some insight into what the tool reports. However, it does not describe edge-case behavior, permissions, or whether the status is aggregated or raw, leaving some ambiguity.

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

  Conciseness5/5

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

  The description is a single, front-loaded sentence containing all essential information. Every word adds value, with no redundancy or filler.

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

  Completeness4/5

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

  Given the tool has no parameters and an output schema exists, the description sufficiently outlines the key dimensions (violations, circuit breakers, storage health). It does not explain what each term means, but this is likely handled by the output schema. It could add a note about being a summary compared to sibling tools, but for a simple status endpoint, it is complete enough.

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

  Parameters4/5

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

  The tool has zero parameters, so the baseline is 4 per the rubric. The description does not need to elaborate on parameter semantics, and no parameters exist to document.

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

  Purpose5/5

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

  The description states a clear verb and resource ('Get Output Enforcer status') and enumerates its scope (violations, circuit breakers, storage health). This distinguishes it from sibling tools like output_enforcer_violations and output_enforcer_breakers, which focus on narrower subsets.

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

  Usage Guidelines3/5

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

  The description implies use for overall status, but it does not explicitly state when to use this tool versus the more specific sibling tools, nor does it mention any alternatives. Since it names the three areas it covers, agents can infer intent, but explicit guidance is absent.

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

• rh_get_stockA
  4/5.0
  Behavior3/5

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

  With no annotations provided, the description carries the full burden of disclosing behavior. It does disclose the cost ($0.005 USDG/query), which is important, but it does not mention error handling for unsupported symbols, whether a wallet balance is required, or other side effects. The 'Get' verb implies read-only, but the cost suggests a transaction may occur, leaving ambiguity.

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

  Conciseness5/5

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

  The description is two concise sentences: the first states the purpose, the second states the cost. Every word earns its place, and the most critical information is front-loaded.

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

  Completeness4/5

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

  For a simple price-query tool, the description covers the platform, asset class, examples, and cost. The existence of an output schema handles return-value documentation. However, integration details such as payment mechanics and behavior for unsupported symbols are not fully disclosed, leaving a gap for an agent to navigate.

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

  Parameters3/5

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

  The schema provides only a string 'symbol' with no description, and schema coverage is 0%. The description helps by listing example stock symbols (AAPL, NVDA, etc.), but it does not clarify case sensitivity or provide an exhaustive list. It adds value but does not fully compensate for the schema's lack of detail.

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

  Purpose5/5

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

  The description uses a specific verb+resource: 'Get price for a tokenized stock on Robinhood Chain.' It clearly defines what the tool does and inherently distinguishes it from crypto quote tools by specifying 'stock.' The examples (AAPL, NVDA, etc.) further clarify the scope.

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

  Usage Guidelines4/5

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

  The description implies when to use the tool by stating it is for tokenized stocks on Robinhood Chain, which differentiates it from sibling tools like rh_crypto_quote. However, it does not explicitly mention alternatives or provide 'when not to use' scenarios, so it gets a 4 rather than a 5.

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

• rh_verify_paymentA
  4/5.0
  Behavior3/5

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

  With no annotations, the description carries the full burden. It discloses that payment settles in USDG and returns a session token valid for 60 minutes, but omits failure behavior, whether verification consumes the proof, and any authentication or network constraints.

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

  Conciseness5/5

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

  The description is two sentences with no redundancy, front-loading the action and adding key details about settlement currency and token validity. Every word earns its place.

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

  Completeness4/5

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

  For a single-parameter tool with an output schema, the description covers the core purpose and important result details. It lacks explicit usage guidance and failure modes, but the tool's low complexity means this is adequate.

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

  Parameters3/5

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

  The schema already provides 100% coverage for the payment_proof parameter, so the description adds little beyond restating the payment context. It does not offer format details or examples, keeping it at the baseline for full schema coverage.

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

  Purpose5/5

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

  The description clearly states the tool verifies an x402 payment on Robinhood Chain through Naven Network, using a specific verb and resource. This distinguishes it from sibling algorand_verify_payment by naming the chain and facilitator.

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

  Usage Guidelines4/5

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

  The description provides clear context: it is used to verify Robinhood Chain payments and return a session token. However, it does not explicitly name alternatives or state when not to use it, so it lacks exclusions.

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

• output_enforcer_clearA
  4.1/5.0
  Behavior4/5

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

  The description discloses that clearing affects both memory and disk and returns the count cleared. Since no annotations are provided, this carries the transparency burden well. It does not mention irreversibility or effects on related state, but for a simple clear operation this is largely sufficient.

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

  Conciseness5/5

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

  The description is a single sentence, front-loaded with the action, and includes essential scope and return information. Every word earns its place with no unnecessary detail.

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

  Completeness5/5

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

  For a parameterless clear operation, the description comprehensively states the exact scope (all violations, memory+disk) and the return value (count cleared). With an output schema also present, an agent has all needed information to invoke the tool correctly.

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

  Parameters4/5

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

  The tool has zero parameters and an empty input schema, so the description naturally adds no parameter-specific information. Per the rubric, a baseline of 4 applies when there are no parameters to explain.

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

  Purpose5/5

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

  The description explicitly states 'Clear all violation records' with the scope 'memory + disk' and the return value 'count cleared.' This clearly identifies the action, resource, and distinguishes it from sibling tools like status, violations, and breakers.

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

  Usage Guidelines2/5

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

  No usage guidance is provided. The description doesn't indicate when to clear violations, mention alternatives, or note prerequisites. An agent might need to know whether to check status first or whether clearing is required before another operation.

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

• rh_list_stocksA
  4.2/5.0
  Behavior3/5

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

  With no annotations, the description carries the full burden of behavioral disclosure. It states that it lists all available stocks and mentions contracts and categories, but does not explicitly mention read-only nature, authentication requirements, pagination, or potential limitations. For a simple list operation this is adequate but not rich; it lacks explicit disclosure of side effects or safety profile.

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

  Conciseness5/5

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

  The description is a single, front-loaded sentence containing a clear verb and noun phrase. Every word earns its place, and there is no redundant or vague filler. It is appropriately sized for the simplicity of the tool.

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

  Completeness4/5

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

  For a parameterless list tool with an output schema, the description is sufficiently complete. It states the action and the key content of the response. It does not explain the return format, but the presence of an output schema means that is not required. Minor omissions like authentication or rate limits are not critical for a simple list operation.

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

  Parameters4/5

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

  The tool has zero parameters, and the baseline for 0 params is 4 per the guidelines. The description adds meaning by indicating the output will include contracts and categories, which is helpful contextual information beyond the empty schema. There is no conflict with schema coverage.

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

  Purpose5/5

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

  The description uses a specific verb ('List') and identifies the resource ('all available tokenized stocks on Robinhood Chain') along with the included data ('contracts and categories'). It clearly distinguishes itself from sibling tools like rh_get_stock, which presumably fetches a single stock, and rh_info, which is a general info tool.

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

  Usage Guidelines4/5

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

  The description provides clear context: use this tool to get the full list of tokenized stocks. It does not explicitly name alternatives or state when not to use it, but the context of 'all available' implies enumeration while sibling tool names suggest specific lookups or other operations. This qualifies as clear context with no exclusions.

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

• algorand_x402_infoA
  4.3/5.0
  Behavior3/5

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

  With no annotations, the description carries the burden. 'Get status' strongly implies a read-only operation with no side effects, and it specifies the return categories. However, it does not explicitly state safety traits like 'does not modify data' or disclose any auth requirements, so it provides reasonable but not rich behavioral context.

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

  Conciseness5/5

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

  The description is a single focused sentence that front-loads the verb and resource, then details the output scope. Every word earns its place with no redundancy.

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

  Completeness5/5

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

  For a zero-parameter status tool with an output schema, the description fully covers the necessary context: it names the exact resource and the three information groups. The output schema handles return values, so the description is complete.

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

  Parameters4/5

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

  The tool has zero parameters, so the baseline is 4. The description does not need to add parameter details, and there is nothing to elaborate beyond the schema.

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

  Purpose5/5

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

  The description uses a specific verb 'Get' and clearly identifies the resource: 'Algorand x402 Gateway status.' It enumerates the three aspects (account, GoPlausible connection, session info) which distinguishes it from siblings like algorand_verify_payment and algorand_get_quote that handle other operations.

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

  Usage Guidelines4/5

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

  The description implies this is for checking status/read-only information, which provides clear context. However, it does not explicitly mention when not to use it or name alternatives, so it lacks the explicit exclusion guidance that would earn a 5.

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

• rh_infoA
  4.3/5.0
  Behavior3/5

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

  No annotations are provided, so the description carries the full burden. It discloses that the tool returns specific status fields, but does not explicitly state read-only behavior, auth needs, or latency characteristics. For a simple info tool, the lack of side effects is implied, but not directly stated.

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

  Conciseness5/5

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

  The description is a single, well-structured sentence that front-loads the main action and lists the key outputs. Every word adds value, with no redundancy or clutter.

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

  Completeness5/5

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

  For a parameterless status tool with an output schema, the description provides a complete picture of what the tool does and what it returns. It identifies the exact data points, making it sufficient for an agent to select and invoke it correctly.

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

  Parameters4/5

  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 does not need to explain parameters. The description lists the returned fields, which is appropriate for a parameterless tool.

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

  Purpose5/5

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

  The description uses the specific verb 'Get' and clearly identifies the resource as 'Robinhood Chain network status,' listing concrete data points (chain ID, RPC, facilitator, block number, available stocks). This distinguishes it from sibling tools like rh_get_stock or rh_crypto_quote, which target different resources.

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

  Usage Guidelines4/5

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

  The description implies clear usage: call this when you need network-level information about the Robinhood Chain. It does not explicitly mention alternatives or when not to use it, but the context is unambiguous for a status endpoint.

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

• rh_crypto_quoteA
  4.4/5.0
  Behavior4/5

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

  No annotations are provided, so the description carries the full burden. It discloses the cost per query ($0.001 USDG), the auth requirement, and the alternative free tier. It does not mention error behavior or rate limits, but the output schema covers return structure. This is above-average transparency for a tool with no annotations.

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

  Conciseness5/5

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

  The description is compact: two sentences cover purpose, supported assets, cost, auth, and free tier. The most critical information (what the tool does) is front-loaded, and every sentence adds value with no repetition or filler.

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

  Completeness4/5

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

  Given the tool's simplicity (1 required param, no enums, output schema provided), the description covers all essential aspects: purpose, cost, auth modes, and parameter hints. Minor gaps like error handling and exact symbol casing are not critical given the output schema and sibling context. It feels complete for a quote tool.

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

  Parameters4/5

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

  Schema description coverage is 0%, so the description must compensate. It explains the symbol parameter by listing supported crypto tickers ('BTC, ETH, SOL'), and clarifies session_token's role by specifying to leave it empty for free tier. This adds meaningful semantics beyond the bare schema types, though exact symbol formats (e.g., case sensitivity) are not detailed.

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

  Purpose5/5

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

  The description clearly states the tool's function: 'Get crypto price quote settled on Robinhood Chain.' It specifies the asset class (crypto) and the specific blockchain (Robinhood Chain), distinguishing it from sibling tools like rh_get_stock (stocks) and algorand_get_quote (Algorand). The supported symbols (BTC, ETH, SOL) further clarify the resource scope.

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

  Usage Guidelines4/5

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

  The description provides usage context: it requires a valid x402 session (USDG) for paid mode, and explains the free tier by leaving session_token empty. This gives clear conditions for invocation, though it does not explicitly name alternative tools for non-Robinhood chains, so it falls just short of full exclusion guidance.

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

• kit_infoA
  4.5/5.0
  Behavior4/5

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

  With no annotations provided, the description carries the burden of disclosing behavioral traits. The verb 'Get' clearly signals a read-only operation with no side effects, which is sufficient for a simple info tool. It doesn't mention auth or rate limits, but the tool's simplicity and the nature of the information (version, tools, status) make these less critical.

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

  Conciseness5/5

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

  The description is a single, front-loaded sentence with no fluff or redundancy. It immediately states the action and the three specific pieces of information, making it easy to parse and understand in one pass.

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

  Completeness5/5

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

  For a zero-parameter info tool with an output schema, the description is complete. It tells the agent exactly what information is available (version, tools, update status) without needing to explain return values, since the output schema covers that. The context is fully sufficient for an agent to select and invoke this tool.

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

  Parameters4/5

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

  The tool has zero parameters, so the baseline is 4. The description correctly avoids describing any parameters, and no additional semantics are needed. The schema already covers everything with an empty object.

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

  Purpose5/5

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

  The description clearly uses the verb 'Get' with the resource 'GenTech Agent Kit' and specifies the exact information returned: version, available tools, and update status. This distinguishes it from all sibling tools, none of which are about the kit itself.

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

  Usage Guidelines4/5

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

  The description provides clear context on when to use the tool: whenever the agent needs kit version, available tools, or update status. It doesn't explicitly name alternatives or exclusions, but with zero parameters and a unique purpose, the usage is straightforward and unambiguous.

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

• pika_skillsA
  4.5/5.0
  Behavior4/5

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

  No annotations are provided, so the description carries the full burden. It accurately describes the operation as 'List available' and gives examples, implying a read-only, non-destructive action. For a simple listing tool, this is transparent enough; there is no hidden behavior or side effects to disclose.

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

  Conciseness5/5

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

  The description is a single, concise sentence that front-loads the verb and resource, followed by illustrative examples. Every word earns its place, with no fluff or repetition.

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

  Completeness5/5

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

  Given that this is a no-parameter listing tool and an output schema exists, the description fully covers what the agent needs to know. It lists example skills, conveys the tool's scope, and does not need to explain return values since the output schema is present.

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

  Parameters4/5

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

  The tool has zero parameters, so the baseline score is 4. The description adds nothing about parameters because none exist, which is appropriate. The schema itself is empty, so there is no gap to compensate for.

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

  Purpose5/5

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

  The description clearly states the tool's function with a specific verb ('List') and resource ('available Pika creative skills'), and provides concrete examples. It also distinguishes itself from sibling tools like pika_generate or pika_build_brand, which execute specific skills rather than listing them.

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

  Usage Guidelines4/5

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

  The tool has a clear and obvious purpose: to list available skills. While it does not explicitly state when to use it over alternatives, its role as a discovery/listing tool is unambiguous given the sibling tool names. The context is sufficiently clear, and no exclusions are necessary.

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