Script Master Labs x402 Gateway

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

The description discloses important behavioral traits beyond the annotations: it mentions a per-call cost (0.001 USDC) and payment/authentication requirements. However, it does not clarify whether the operation is read-only, what the response contains, or any limitations. Since annotations only provide a title and no safety hints, the description carries the burden but only partially meets it.

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

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

The description is extremely concise, with two sentences covering the core function and essential payment/auth details. It is front-loaded and every sentence earns its place, with no fluff.

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 output schema and the description does not explain what the tool returns (e.g., a boolean, evidence, a score). It also lacks clarity on how the claim is provided, given there are no defined parameters. For a tool that requires an implicit claim input and has a payment mechanism, the description is incomplete.

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 (0 parameters, additionalProperties true), so there are no parameter details to describe. The description mentions 'a claim' as the implicit input but does not explain how to pass it (e.g., as a query parameter, in the prompt, etc.). This adds minimal meaning beyond the schema, but leaves the invocation format ambiguous.

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

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

The description states a specific action: 'fact-checks a claim against live government data.' It clearly identifies the tool's function and differentiates it from sibling tools, as no other tool in the list is described as a government data fact-checker.

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 for when to use this tool: when you need to fact-check a claim against live government data. It does not explicitly list exclusions or alternatives, but the context is unambiguous, so it earns a 4.

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

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

Annotations are minimal (only a title), so the description carries the burden. It discloses the cost (0.001 USDC per call) and auth/payment header requirements, which are useful behavioral traits. However, it does not state whether the operation is read-only, whether it returns a boolean or details, or any side effects. It adds some value but lacks 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.

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

The description is extremely concise, front-loaded with the primary purpose, and every sentence adds operational value (cost and HTTP/payment details). No fluff, no repetition. Ideal for quick agent parsing.

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 its simplicity, the tool description is incomplete: it lacks any mention of the required wallet address parameter and provides no information about the return format (no output schema exists). It also doesn't differentiate itself from similar wallet-checking siblings. The agent cannot fully understand inputs and outputs from this description alone.

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

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

The schema has zero documented parameters (empty properties, additionalProperties true), so baseline is 4. However, the tool clearly needs an implicit input (the wallet address) to check, and neither the description nor schema explain how to provide it. This is a significant gap for an agent to invoke the tool correctly. The description provides no parameter info to compensate 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 clearly states the tool's function: 'Check wallet eligibility for token airdrops.' The verb 'check' and resource 'wallet eligibility' are specific and distinguish it from general wallet analytics tools like wallet_analysis or wallet_analyzer, though it doesn't explicitly name alternatives.

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

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

The description implies usage by stating what the tool does, but it provides no explicit guidance on when to choose it over siblings, nor any exclusions or alternatives. The payment and HTTP details are operational, not comparative. Usage context is only inferred from the name and one-liner.

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 only include a title, so the description carries the burden. It discloses that the tool is paid (0.01 USDC per call), the HTTP method (GET), and authentication options (x402 header or API keys). These are useful behavioral traits, but it does not describe what the tool actually does, returns, or if there are 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 short and front-loaded with cost and endpoint, but it omits the core purpose. It is not verbose, but it is under-specified; every sentence is about payment or HTTP, not what the tool does. This is borderline between concise and incomplete.

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

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

With no output schema and minimal annotations, the description should explain what the tool does and what to expect. It does not mention return values, input parameters, or typical use cases. The payment and auth details are helpful but do not make the description complete for a backtesting tool.

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

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

Input schema is empty with no parameters, and schema coverage is 100% (vacuously). With 0 parameters, the baseline is 4. The description adds payment-related invocation details (headers) but not parameter semantics, which is unnecessary given no parameters.

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 does not state what the tool does. It only mentions the cost, HTTP endpoint, and payment method. The name 'backtest_run' implies running a backtest, but the description lacks an explicit verb+resource statement, making it barely more than a name+payment note.

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

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

There is no guidance on when to use this tool versus alternatives like backtest_strategies or backtest_sweep. The description only provides payment details, not usage context or exclusions.

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

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

The description adds useful behavioral context beyond the annotations: it discloses a per-call fee (0.001 USDC), the HTTP equivalent, and auth options (X-PAYMENT header or bypass with API keys). However, it says nothing about the actual operation's side effects, return format, or whether it is read-only, leaving the functional behavior undisclosed.

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 terse and well-structured, but it spends all its sentences on payment details rather than explaining the tool's purpose. While it is concise, it omits essential functional information, making the conciseness counterproductive.

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

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

For a tool with no output schema and no parameter documentation, the description bears the full burden of explaining what the tool does and what it returns. It fails completely, providing only payment and endpoint details. Even with the simple signature, the missing purpose and return semantics make it inadequate for any agent to use 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 input schema has zero parameters and is 100% covered by the schema (trivially), so the baseline is 4. The description adds no parameter information, but with no parameters defined, there is nothing to clarify. The additionalProperties: true flag is not addressed, but no parameters are expected.

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 does not state what the tool does at all. It only provides payment details and an HTTP endpoint, leaving the purpose entirely ambiguous. The name 'backtest_strategies' hints at functionality but is not sufficient, and there is no verb-resource statement that distinguishes it from siblings like backtest_run or backtest_sweep.

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 mention of backtest_run, backtest_sweep, or any other related tool. The description solely discusses payment mechanics, not use cases or prerequisites.

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

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

The description discloses payment cost (0.05 USDC per call) and the HTTP endpoint, providing some behavioral context beyond the minimal title annotation. However, it does not detail side effects, limitations, or processing behavior, leaving the agent uncertain about what to 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 concise and front-loaded with the primary action. The payment and HTTP details are useful but add minor clutter. Overall, it is efficient and avoids fluff.

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 an output schema and minimal annotations, the description leaves major gaps: it does not explain what parameters define the grid, how the sweep is executed, or what the response structure looks like. This is insufficient for an agent 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 input schema is empty with additionalProperties true, and the description offers no parameter details. Although there are zero documented parameters, the tool's name and description imply a configurable grid, but the agent cannot determine what parameters to pass. The description fails to compensate for this lack of schema info.

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 ('Sweep a parameter grid') and output ('report the winner with its overfitting risk'). It clearly distinguishes from sibling tools like backtest_run and backtest_strategies by focusing on grid sweeping and overfitting risk.

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 on when to use this tool versus alternatives. The description does not mention any prerequisites, exclusions, or preferred scenarios. It merely states what the tool does without contextualizing its use relative to similar backtesting 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 description discloses per-call cost (0.001 USDC) and authentication methods (X-PAYMENT header, API keys, Bearer token), which adds behavioral context beyond the sparse annotations. However, it does not state whether the operation is read-only, return format, or potential errors, so the added value is partial.

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

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

The description is succinct and each line serves a purpose: cost, HTTP equivalent, and payment methods. It is well-structured and avoids fluff, though the omission of the core function is a substantive gap rather than a conciseness flaw.

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

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

With no output schema and an empty input schema, the description is the sole source of usage information. It fails to state the basic purpose, input, or output, leaving the agent without enough to invoke the tool correctly. Only billing and authentication context is provided.

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 additionalProperties true, yet the tool inherently requires some input to encode. The description provides no indication of how to pass data (query parameter, request body, header) and names no parameters, leaving the agent to guess the invocation contract.

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 begins with 'base64_encode' but never states that the tool encodes data to Base64. It only repeats the name and then diverges into payment and HTTP details. The title 'Base64 Encode' from annotations is similar, making the description effectively tautological.

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 like text_case_convert or hash_compute. There is no mention of typical use cases, input formats, or examples, leaving the agent without context on when to select it.

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

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

With no behavior annotations present, the description discloses the payment mechanism (x402, USDC cost, API key bypass) which is useful operational context. However, it does not describe the response format, error behavior, or supported RPC methods, leaving significant behavioral aspects undisclosed.

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 compact and structured: three sentences cover purpose, parameters, HTTP equivalent, and payment. The first sentence conveys the core purpose, and the payment details are clearly separated, avoiding excessive length.

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

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

Given the lack of an output schema and annotations, the description should more thoroughly explain the tool's behavior and return values. It covers payment and param shape but omits what the RPC call actually does, supported methods, or expected output, leaving the picture incomplete for an RPC helper.

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 additionalProperties true, so the description's list of parameter names (method, params, address, block) adds necessary structure. While types and meanings are not explained, providing these keys is valuable beyond the empty schema; the 0-param baseline supports a moderate score.

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

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

The description identifies the tool as a 'Base mainnet JSON-RPC helper' and lists the expected parameters, making its role fairly clear. It distinguishes from siblings like eth_rpc by specifying the Base chain, though the generic term 'helper' is not fully explicit about executing RPC calls.

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 usage for Base mainnet JSON-RPC calls and provides HTTP/payment context, but it does not explicitly state when to prefer this tool over alternatives like eth_rpc or give exclusions. Context is present, but no clear alternatives or when-not-to-use guidance.

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

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

There are no annotations beyond a title, so the description carries the full burden. It discloses the x402 cost (0.001 USDC), the HTTP equivalent endpoint, and payment/auth header requirements, which is valuable behavioral context. It does not mention rate limits or error responses, but the provided details are significant and beyond what annotations would show.

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

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

The description is two short lines: the first states purpose and cost, the second gives HTTP and payment details. It is front-loaded with the most critical info and contains zero filler. Every sentence adds value.

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

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

For a simple tool with one optional parameter and no output schema, the description covers the essential call semantics (param, default, cost, auth). It doesn't describe the response structure or data fields, but the tool's low complexity and the given context make it mostly complete. A small gap is the absence of what 'premium/funding snapshot' actually contains.

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 additionalProperties true, so it provides no parameter documentation. The description adds the optional 'symbol' parameter, its type (string), and its default (BTCUSDT), which is essential information the agent would otherwise lack. This fully 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 'Binance USDT-m premium/funding snapshot,' which clearly identifies the resource (Binance USDT-m funding data) and the action (snapshot/retrieval). This distinguishes it from sibling tools like binance_ticker (ticker price) and funding_rates (general funding), though it doesn't explicitly name 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 description gives a default symbol and notes the optional 'symbol' parameter, which implies use cases (BTCUSDT by default, other symbols possible). However, it provides no explicit 'when to use' guidance or exclusions vs. alternatives like perp_funding_aggregator or funding_rates. This is implied context, not clear direction.

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

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

With no safety annotations (readOnlyHint, destructiveHint), the description carries the full behavioral disclosure burden. It adds useful context: the optional symbol parameter with default BTCUSDT, the x402 payment requirement, and the HTTP endpoint. However, it does not disclose return format, error behavior, rate limits, or whether results are cached. This is partial but non-trivial 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 concise, with two short lines. The main purpose is front-loaded ('Binance 24h ticker'), while operational details (HTTP equivalent, payment) follow. Every word earns its place; no filler or repetition.

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, but no output schema is provided, so the description should at least hint at the response shape. It does not mention what fields the ticker returns (e.g., last price, volume). The payment and default symbol are covered, but the lack of return-format information leaves a moderate gap for a tool with no 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 input schema is empty with additionalProperties true, so the baseline is 4 due to zero parameters. The description compensates by explicitly stating the optional symbol parameter and its default BTCUSDT, providing meaning beyond the schema. It does not detail accepted symbol formats, but the default example is sufficient for basic use.

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 identifies the tool as a Binance 24-hour ticker, which is a specific resource. It lacks an action verb like 'fetch' or 'get,' but the noun phrase 'Binance 24h ticker' unambiguously conveys the purpose. It does not explicitly differentiate from sibling price tools like btc_price or crypto_price, though the focus on Binance provides some implicit 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 does not provide guidance on when to use this tool versus alternative price/ticker tools. It specifies the request format and payment mechanism but does not mention exclusions, alternatives, or appropriate contexts. Sibling tools such as btc_price and crypto_price exist, but no comparison is given.

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

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

With no readOnly/destructive hints in annotations, the description carries full behavioral burden. It discloses the payment requirement and HTTP equivalent, but does not describe return format, rate limits, or potential side effects. The read-only nature is only implied, not explicit.

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 brief, using three sentences to cover purpose and payment details. It is front-loaded with the main function, though the payment details could be considered extra. Overall, it is concise and earns its place.

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

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

For a simple parameterless tool, the description covers the source and necessary payment context, but omits descriptive details of the output (e.g., fee categories, units). Since there is no output schema, this gap prevents full self-sufficiency for an agent.

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

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

There are zero parameters, and the schema is empty, so the baseline is 4. The description adds little about parameters because none exist; it does not clarify whether optional query parameters are accepted, but the empty schema already indicates no required inputs.

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 'Bitcoin mempool recommended fees (mempool.space)' clearly declares the tool's function with a specific resource (Bitcoin mempool fees) and source. It distinguishes itself from siblings like btc_price (price) and gas_tracker (likely Ethereum gas) without ambiguity.

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. It only states the data source and payment mechanism, but does not mention scenarios, exclusions, or comparisons to siblings such as btc_price or gas_tracker.

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 discloses the x402 payment requirement (0.001 USDC per call) and authentication methods (X-PAYMENT header, X-API-Key, X-Owner-Key, Bearer token). This is important behavioral context beyond the annotations, which only include a title. However, it does not describe the response format or any rate limits.

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 short sentences, each adding distinct value: what the endpoint is, the HTTP equivalent, and payment/auth instructions. It is front-loaded and free of filler, making it highly efficient for an agent 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?

The description covers payment and HTTP details, but does not explain the response payload or return value structure. Since there is no output schema, the agent is left guessing what the response looks like (e.g., plain number, JSON with timestamp). Given the tool's simplicity, this is a moderate 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 empty. The baseline for 0 parameters is 4, and the description correctly adds no irrelevant parameter details. There is nothing more needed for parameter 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 states 'BTC spot convenience endpoint', which clearly identifies the tool as returning the spot price of Bitcoin. It distinguishes from sibling price tools like eth_price and crypto_price by specifying BTC spot specifically, but lacks an explicit action verb like 'get' or 'fetch'.

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 relative to alternatives such as crypto_price or eth_price. It only describes the endpoint and payment mechanism, without stating use cases or exclusions.

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

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

The description discloses payment requirements and the HTTP equivalent, but it does not explain the tool's behavior, side effects, or what happens when called. With no annotations providing safety hints (e.g., readOnly or destructive), the description carries the full burden of behavioral disclosure but only covers authentication, not the core operation.

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

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

The description is very short and to the point, but it prioritizes payment and HTTP details over the core purpose. While concise, the structure is not effective because it omits the tool's function, leaving the description under-specified rather than appropriately concise.

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 and lack of output schema or annotations, the description should explain what the calculator does and what it returns. It only covers payment and the endpoint, leaving the tool functionally ambiguous. The agent cannot determine how to invoke it or what results to expect.

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

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

There are zero defined parameters and the schema has 100% coverage (empty), so per the baseline for 0 params, this scores 4. The description adds no parameter semantics, but this is acceptable since there are no documented parameters. However, the schema allows additionalProperties, and the description does not mention what input the calculator expects, which is a slight gap but does not lower the 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 simply says 'calculator' and then provides payment details, but it fails to specify what the calculator does (e.g., arithmetic operations, scientific functions). This essentially restates the tool name without adding concrete functionality, making it hard to distinguish from other calculation tools like percentage or statistics.

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 calculator versus alternatives such as percentage, statistics, or unit_convert. No use cases, prerequisites, or exclusions are mentioned, leaving the agent without any decision-making 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?

Annotations contain only the title, so the description carries the behavioral burden. It does disclose payment requirements and the HTTP equivalent, which gives some context about authentication and cost. However, it does not mention error behavior, rate limits, or whether the operation is purely read-only (though 'search' implies it). The added context is useful but minimal.

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, with three short sections: the main purpose, the HTTP equivalent, and payment instructions. It is front-loaded with the core purpose. The payment details are somewhat verbose but necessary for a paid API. Overall, it is efficient without redundancy.

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

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

The description provides essential operational details like payment and headers, but it omits the response format, possible error conditions, or any usage examples. For a simple search tool with no output schema, the agent lacks crucial information about what to expect in the return payload. The description is adequate but leaves gaps for a tool that has no structured annotations or output 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 input schema is empty, but the description lists two optional parameters `q` and `page_size` with types. This adds some meaning beyond the schema, but it does not explain what these parameters represent (e.g., query text, pagination size). Since the description is the only source of parameter information, it could provide more semantic detail, but the types alone offer basic guidance.

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 it is a 'ClinicalTrials.gov search' – a specific verb ('search') and a specific resource ('ClinicalTrials.gov'), which immediately distinguishes it from general web search or other domain-specific search tools. It is unambiguous and non-tautological.

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 explicit guidance on when to use this tool versus alternatives. It only gives the endpoint and payment details, leaving the agent to infer from the name and source that it is for clinical trial queries. There is no mention of use cases, exclusions, or comparisons to sibling search 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 description discloses the payment mechanism and HTTP endpoint, but annotations are limited to a title with no readOnly/destructive hints. It fails to explain whether this is a read operation, what the response structure looks like, or any rate limits beyond the per-call cost. The agent is left in the dark about the actual data returned and potential failure modes.

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

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

The description is extremely concise, consisting of two short sentences. The core purpose is front-loaded, and the payment details are provided without unnecessary elaboration. 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.

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

Given the lack of an output schema and minimal annotations, the description should explain what data is returned and what 'top list' means. It only covers payment and endpoint, leaving the agent to guess the content and structure of the response. For a tool with zero parameters, this 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 tool has zero parameters, so the schema already fully defines the input. Per the guidelines, a baseline of 4 is appropriate when no parameters exist. The description doesn't need to add parameter meaning, and it doesn't contradict the schema.

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

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

The description 'CoinGecko category market data top list' identifies the resource (CoinGecko categories) and hints at a ranked list, but lacks a clear verb and doesn't specify what 'top' means (e.g., by market cap, volume). It is not a tautology, but it is vague and doesn't fully distinguish from sibling tools like crypto_global or trending_altcoins.

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. The description provides payment and HTTP details but does not mention use cases, prerequisites, or situations where another tool would be more appropriate. No exclusions or alternatives are noted.

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 contain only a title, so the description carries full burden. It does disclose a behavioral trait: the tool requires a fee of 0.001 USDC per call via x402 and explains how to pay or bypass using API keys. However, it does not disclose what 'scoring' means, return behavior, or side effects, leaving some opacity.

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 highly concise: three sentences covering purpose, HTTP equivalent, and payment. It is front-loaded with the main action and resource, and every sentence adds necessary information without redundancy.

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

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

The tool is a submission endpoint with no defined parameters and no output schema, so the description must explain what 'anomaly' data to send and what response to expect. It omits both, leaving the agent with no way to construct a valid request or interpret the result.

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 defines zero parameters and allows additional properties. With no parameters to describe, the baseline is 4. The description adds no parameter details, but none are needed because the schema imposes no structure.

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 ('Submit'), a resource ('bank compliance anomaly'), and the purpose ('for scoring'). This clearly distinguishes it from sibling compliance tools like compliance_bank_audit and compliance_regulator_query, which focus on auditing or querying rather than submitting anomaly reports.

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

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

The description gives no explicit guidance on when to use this tool instead of sibling tools such as compliance_bank_audit or compliance_regulator_query. It only mentions the HTTP equivalent and payment method, but does not clarify the selection criteria or alternatives.

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 discloses the payment requirement (0.001 USDC) and demonstrates how to authorize requests, which adds context beyond the minimal annotations. However, it does not indicate whether the tool is read-only, what external calls it makes, or what data it accesses, and there are no annotations to cover these aspects. The burden falls on the description, and it only partially fulfills it.

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

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

The description is extremely concise, with one main sentence stating the tool's purpose and a second sentence covering HTTP equivalent and payment mechanism. Every piece of information is relevant and no space is wasted. It is appropriately front-loaded with the primary action.

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

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

With no output schema and no explanation of what the audit cycle returns, the description is incomplete for practical usage. It lacks details on expected results, whether any inputs are needed (despite additionalProperties true), and any limitations or assumptions. Given the potential complexity of a 'full compliance audit,' the absence of this context leaves 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 is empty with additionalProperties true and no defined parameters, so there is nothing for the description to add about parameter semantics. Per the rubric, a tool with 0 parameters receives a baseline score of 4; the description doesn't attempt to explain inputs, which is acceptable in this case.

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 the tool performs a 'Full compliance audit cycle for a bank,' clearly identifying the action (audit) and the resource (bank). However, it does not specify what the audit entails or differentiate it from sibling compliance tools like compliance_anomaly_report or compliance_regulator_query, so it falls short of a 5.

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

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

The description provides no guidance on when to use this tool versus alternatives, and does not mention any prerequisites or exclusions. It only includes payment details and an HTTP equivalent, which are not usage guidelines for choosing between tools. The user is left to infer that it is for bank compliance audits based on the 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 discloses the cost (0.001 USDC per call) and authentication methods (X-PAYMENT header or API keys), which is useful behavioral context beyond the minimal annotation. However, it does not disclose how the response looks, error behavior, or whether the operation is read-only. With no readOnlyHint in annotations, the description leaves out some behavioral details.

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 front-loaded with the primary purpose, followed by essential payment and HTTP details. There is no filler or redundancy, and every sentence provides actionable information for invoking the tool.

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

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

Given the lack of an output schema and minimal annotations, the description should provide more context about the return value. It only says 'dashboard query' without specifying what metrics or data are returned, making it difficult for an agent to know what to expect. This is a significant gap for a tool with no structured output documentation.

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 defined in the schema, so the baseline is 4. The description does not add any parameter semantics, but since no parameters exist, this is acceptable. The schema's additionalProperties: true is not explained, which could be a minor gap, but the context indicates zero parameters.

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

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

The description clearly states the tool's function as a real-time regulator compliance dashboard query for a bank, using the verb 'query' and specifying the resource. It distinguishes from sibling tools like compliance_anomaly_report or compliance_bank_audit by focusing on a dashboard query rather than a report or audit, though it does not explicitly mention alternatives.

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

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

The description provides no guidance on when to use this tool versus alternatives. It lacks any mention of scenarios, prerequisites, or exclusions. The only context is the purpose itself, which implies usage but does not explicitly state 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?

The description discloses payment requirements, cost, HTTP method, and authentication options, which is useful behavioral context. However, with no annotations for read-only or destructive hints, the description carries the full burden. It omits response format, pagination, or rate limits, leaving some behavioral gaps.

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 compact and front-loaded with the core purpose, then provides payment details. It is well-organized into two sentences, but the payment block is somewhat technical and could be streamlined. Every element earns its place, though the auth options are verbose.

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 output schema and minimal annotations, so the description must explain the return behavior; it does not. It covers search scope and payment but leaves the response contract unspecified. For a simple API, this is a notable gap in completeness.

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 but allows additional properties, so the description's mention of keyword, congress number, and status is the primary source of parameter semantics. It names these dimensions, but does not specify types or request placement (query vs body), which prevents a full score.

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 searches Congress.gov bills by keyword, congress number, and status. This is a specific verb + resource + scope that distinguishes it from broader government or web search tools. The name and description together leave no ambiguity about the tool's function.

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

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

The description implies when to use the tool by specifying 'Congress.gov bill search', which is clear enough for congressional legislation queries. However, it does not mention alternatives or when not to use it, such as distinguishing from us_gov_search or web_search. There is no explicit guidance on tool selection.

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

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

The description discloses a non-obvious behavioral trait: the x402 payment requirement (0.001 USDC per call) and authentication bypass options. It does not reveal return format, data source, or update frequency, but for a read-only data tool, the payment detail is the most critical behavioral context. No contradictions with annotations 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 extremely concise, front-loading the three key data points in one line and then providing essential payment/HTTP details. Every sentence earns its place with no redundancy or filler.

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 complexity and lack of output schema, the description adequately explains the returned metrics (mcap, BTC dominance, volume). It does not detail the exact JSON structure or update cadence, but for a straightforward snapshot tool, the coverage is 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?

With zero parameters, the baseline is 4. The schema is empty, and the description adds no parameter details because none exist. The description is clear that this tool takes no inputs, so relying on schema plus description 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 clearly states the tool returns global crypto market cap, BTC dominance, and volume. While it lacks an explicit verb, the noun-phrase style is unambiguous and distinguishes it from price-specific tools like btc_price or crypto_price.

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 does not provide explicit when-to-use guidance or mention alternatives. However, for a simple global snapshot tool, the intended use case is reasonably implied by the data listed, and the minimal complexity means no strong exclusions are needed.

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 discloses important behavioral details beyond annotations: payment requirement (0.001 USDC per call), the need for X-PAYMENT header, and alternative auth methods (X-API-Key, X-Owner-Key, Bearer token). It also notes the HTTP endpoint. These are meaningful disclosures not present in the minimal 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 concise but packs technical payment details into the main paragraph, making it slightly dense. The HTTP and payment info could be separated for readability. Still, every sentence adds value, but not as clean as the best examples.

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

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

For a simple list tool with no output schema, the description covers purpose, parameters, payment, and HTTP equivalent. It lacks explicit return format, but 'headlines' is self-explanatory. The security/payment details add necessary context for successful invocation.

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

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

The input schema is empty, but the description adds 'limit?: int' as an optional parameter, providing meaning beyond the schema. This compensates for the schema's lack of parameter definitions. However, the parameter is not formally documented in the schema, which is a minor inconsistency.

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 resource: 'Crypto news headlines from public RSS (CoinDesk + Bitcoin Magazine)'. It's clear the tool returns crypto headlines, though it lacks an explicit verb like 'get' or 'fetch'. It differentiates from general news tools like 'news_headlines' by specifying crypto and sources.

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 mentions the HTTP equivalent and payment, but does not explain when to prefer this over other news or crypto tools, nor any exclusions. No alternative tools are named.

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 only provide a title, so the description carries the burden of behavioral disclosure. It clearly discloses payment requirements (x402 protocol, cost per call, header options) and the HTTP equivalent, which are useful operational details. However, it does not describe the return format, sort order, or any 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 concise and well-structured: a single-sentence purpose line followed by a payment/invocation block. It avoids tautology and every sentence provides distinct value, making it easy to parse quickly.

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 scanner with no output schema, the description covers the core function and the crucial payment/authentication details. It does not explain what a 'squeeze score' is or what the response contains, but given the tool's simplicity and the presence of payment details, it is reasonably 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 an empty schema, so the baseline is 4. The description adds context about what the scanner evaluates (sub-$1 tokens, squeeze score) but no parameter semantics are needed. The baseline 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 clear and specific purpose: a scanner that ranks sub-$1 crypto tokens by squeeze score. The 'sub-$1' qualifier differentiates it from sibling tools like crypto_squeeze_scanner or squeeze_scanner, making the tool's scope immediately evident.

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 usage for sub-$1 tokens but does not explicitly mention when to use this tool over alternative squeeze scanners. It provides no exclusions or comparison with similar sibling tools, though the 'sub-$1' scope offers some implicit guidance.

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

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

Beyond the minimal annotations (only title), the description discloses key behavioral traits: payment via x402 protocol (0.001 USDC per call), authentication methods (X-API-Key, X-Owner-Key, Bearer token), and an HTTP GET equivalent. These add context about cost and access requirements. It doesn't explicitly state read-only behavior, but the GET method implies it. No contradictions 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 concise and front-loaded with the core function ('Spot price + mcap/vol'). It then provides parameters, HTTP equivalent, and payment info in a structured, line-separated format. Each sentence adds value, though the payment details are somewhat verbose and could be streamlined.

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 covers the core output (spot price, market cap, volume) but lacks details on default behavior when no params are provided, exact response structure, or how it relates to sibling tools. Since there is no output schema, the description should more fully explain return values and parameter defaults, leaving a noticeable 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 is empty with additionalProperties true, so the description is the only source of parameter information. It provides a request example with ids (string csv), vs (string), and symbol (BTC|ETH|SOL), adding meaningful semantics. While it doesn't explain each parameter in detail, it offers enough for an agent to construct a basic request.

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 'Spot price + mcap/vol' clearly indicates the tool provides spot price, market cap, and volume. The name 'crypto_price' aligns with this. However, it doesn't explicitly differentiate from sibling tools like btc_price, eth_price, or sol_price, though the 'ids' parameter implies multi-coin support. It is specific but lacks strong 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?

There is no guidance on when to use this tool versus alternatives such as btc_price, eth_price, or sol_price. The description only provides payment details and an HTTP equivalent, not usage context or exclusions. This leaves the agent without clear decision-making information for tool selection.

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

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

The description discloses the cost (0.001 USDC per call) and authentication/payment details (X-PAYMENT header, API key/bearer bypass), which is meaningful behavioral context beyond the sparse annotations. It does not mention rate limits or return format, but the payment/operational disclosure is valuable.

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 sentences and front-loads the core purpose and cost. The payment details are relevant and concise, though the HTTP equivalent line is more reference than essential. Overall, it is appropriately sized 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 simple no-parameter tool, the description covers purpose and payment, but it lacks return format details (no output schema) and does not disambiguate from similar sibling scanners. This leaves some contextual gaps, especially given the near-identical names in the sibling list.

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 reflects this with an empty properties object. The baseline for 0 params is 4, and the description does not need to add parameter meaning since there are none 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 clearly states the tool ranks tokens by vol/mcap surge, momentum, and ATH distance, providing a specific verb and resource. However, it does not distinguish from closely related siblings like crypto_penny_squeeze_scanner or squeeze_scanner, so differentiation is limited.

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 mentions payment requirements but does not describe scenarios, exclusions, or comparisons to other scanners, leaving the agent to guess when this tool is appropriate.

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

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

The description discloses the per-call cost (0.001 USDC) and multiple authentication methods (X-PAYMENT, API keys, bearer tokens), which adds behavioral context beyond the minimal title annotation. However, it omits the core behavior of converting CSV to JSON, leaving the agent to infer the tool's function from its name.

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

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

At two sentences, the description is appropriately brief, but the first sentence merely repeats the tool name and the second covers payment details. While it is structured and readable, it sacrifices essential functional information for brevity.

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

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

Given the lack of annotations, output schema, and defined parameters, the description is grossly incomplete. It leaves the agent without the basic information needed to select and use this tool, especially compared to its many conversion-focused siblings.

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 additionalProperties true, and the description provides zero information about expected parameters. There is no mention of how to supply CSV data (e.g., as a string, file, or URL), making it impossible to invoke correctly without external knowledge. The description does not compensate for the schema 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 opens with the tool name 'csv_to_json' and then focuses entirely on cost and payment, never explicitly stating that it converts CSV to JSON. This is essentially a tautology—it repeats the name without adding functional clarity. The HTTP endpoint name also echoes the tool name but does not describe the operation.

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

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

No when-to-use or alternative guidance is provided. The description does not mention scenarios where csv_to_json is appropriate, nor does it compare against sibling conversion tools like json_to_csv or xml_to_json. There is no mention of input requirements or expected use cases.

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 discloses the cost (0.001 USDC per call) and authentication methods (X-PAYMENT header or API keys) which are behavioral traits not covered by annotations. However, it does not explicitly state that the operation is read-only or describe the response format, leaving some behavioral details uncovered. The mention of HTTP equivalent GET implies a safe read operation but is not explicitly stated.

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 compact, with three sentences covering purpose, parameters, cost, and authentication. It is front-loaded with the core function and avoids unnecessary elaboration, making it 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?

The description addresses the key aspects of a simple tool: purpose, a parameter, and authorization. However, it lacks return value details (there is no output schema) and does not differentiate from many similar defi tools in the sibling list, leaving an agent uncertain about expected output and when to choose this tool.

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

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

The input schema is empty but allows additional properties, so the description's parameter note 'limit?: int' adds valuable meaning that the schema does not provide. It indicates an optional integer parameter but does not explain what the limit constrains (e.g., number of results), which is a minor 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 identifies the tool as a DefiLlama protocol overview and TVL movers, which is specific enough to indicate the general function. However, it lacks an explicit verb (e.g., 'get' or 'list') and does not distinguish it from sibling tools like defi_protocol_tvl or defi_tvl_ranking, making the scope slightly ambiguous.

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

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

The description provides payment and authentication instructions (x402, USDC, headers) but does not explain when to use this tool versus the numerous Defi-related siblings available. No context is given about typical use cases or exclusions, so an agent has no basis for selecting this over alternative 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?

With no annotations, the description carries the burden. It discloses the GET HTTP method (implying read-only operation), payment requirement, and auth bypass options. However, it does not mention rate limits, pagination, or how the ranking is ordered/data freshness.

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 compact and front-loaded with the primary purpose, followed by cost and payment details. All sentences add value, though the payment information could be considered less essential for initial invocation.

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

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

The description explains how to access the tool (endpoint, payment) but does not specify the return format or sorting. Since there is no output schema, additional detail about the response structure would improve completeness. It is adequate for a simple no-parameter tool but leaves 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 tool has zero parameters, and the schema confirms this with 100% coverage. The description does not need to add parameter 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 identifies the tool as returning DefiLlama chains TVL ranking, which is a specific resource. However, it does not differentiate from the sibling tool defi_tvl_ranking, which likely serves a similar function. It could be more explicit about the scope (chains only).

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 over alternatives like defi_tvl_ranking or defi_protocol_tvl. It only mentions the HTTP endpoint and payment method, not selection criteria.

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 only include a title, so the description carries the full burden of behavioral disclosure. It does disclose payment requirements (x402, X-PAYMENT header, API keys/Bearer token), the HTTP endpoint, and the required parameter. However, it omits details about the return format, error behavior, or data freshness, which are important for a tool with no annotation 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?

The description is compact and front-loaded: it states the purpose ('Single protocol TVL'), then gives the required parameter, example, HTTP equivalent, and payment info. Every sentence earns its place with no redundant wording, making it highly scannable for an agent.

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

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

The description covers purpose, parameter, HTTP endpoint, and payment, but lacks a description of the return value or valid protocol name formats. Since there is no output schema and annotations are minimal, the description should fill these gaps to be fully complete for an agent invoking the tool.

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

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

The input schema is empty (0 parameters), so the description's 'Req: { protocol: string } e.g. aave' provides essential parameter meaning that would otherwise be entirely absent. It could add more detail such as case sensitivity or value format, but given the zero-parameter baseline of 4, it does add value and meets that bar.

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 'Single protocol TVL' with a concrete example ('aave'), specifying that this tool retrieves total value locked for an individual protocol. This distinguishes it from sibling tools like defi_chains_tvl and defi_tvl_ranking, which cover chain-level TVL and rankings respectively.

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 'Single protocol' provides clear context for when to use this tool: for fetching TVL of one protocol, as opposed to chain-level or ranking data. However, it does not explicitly mention alternative tools or specify when not to use it, so it falls short of a 5.

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 contain only a title with no behavioral hints, so the description must carry the transparency burden. It does disclose that the tool requires x402 payment (0.001 USDC per call) and provides alternative authentication methods (API keys/bearer token). However, it does not mention the return format, potential sorting order, rate limits, or side effects. The read-only nature is implied but not explicit.

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 efficiently structured. It leads with the core purpose, then provides essential cost/payment information. Every sentence adds value with no redundancy. The line breaks improve readability and separate the functional description from the access details.

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 and no output schema, the description covers the essential aspects: what data is returned (rankings, 24h change) and how to access it (x402 payment and auth bypass). It omits specifics like response structure or pagination, but given the simple nature of the tool, the description is largely complete. Payment details are a critical addition.

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 score is 4. The description does not need to add parameter documentation. The schema's additionalProperties:true is present but no properties are defined, and the description does not mention optional parameters, which is acceptable given the apparent no-parameter interface.

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 identifies the tool's output as 'DeFi protocol TVL rankings with 24h change,' specifying the resource (protocol TVL) and the key attribute (rankings with 24h change). It implies a retrieval operation even without an explicit verb. While it doesn't explicitly contrast with sibling tools like defi_protocol_tvl or defi_chains_tvl, the focus on 'rankings' distinguishes it sufficiently.

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. The description only includes HTTP and payment details, which are operational rather than selection-oriented. There is no mention of use cases, exclusions, or why one would choose this over defi_analytics or other DeFi 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 description adds meaningful behavioral context beyond the title annotation: it discloses a per-call cost (0.001 USDC), the x402 payment protocol, authentication headers, and the HTTP endpoint. This is valuable because annotations provide no such details. However, it does not describe the output format or what 'top' means (e.g., number of pools).

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 exceptionally concise and front-loaded: the core purpose appears in the first line, followed by cost and authentication details. Every sentence serves a purpose, and the structure is easy to parse. No fluff or redundancy.

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

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

For a zero-parameter, no-output-schema endpoint, the description provides the essential information: what it returns (top pools by APY), how much it costs, how to authenticate, and the HTTP equivalent. While it could specify the response structure, the simplicity of the tool makes this sufficient. It also includes payment details that are critical for 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 tool has zero parameters, and the schema is empty with 100% coverage, so the baseline is 4. The description adds no parameter details because none are needed. Payment-related headers are mentioned but are not part of the input schema, so they serve as usage notes rather than parameter 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 the tool's function: it returns top DeFi yield pools ranked by APY. This distinguishes it from sibling tools like defi_yield_rates or defi_yields_pools by specifying 'Top' and the ranking criterion. The HTTP equivalent further reinforces the endpoint's purpose.

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 usage context by stating what the tool returns (top pools by APY), but it does not explicitly say when to use this tool over alternative defi tools, nor does it mention any exclusions or prerequisites. There is no comparison to siblings, 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.

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

Discloses per-call cost (0.001 USDC) and payment/authentication mechanism via x402, adding meaningful behavioral context beyond the minimal title annotation. However, it doesn't state whether the operation has side effects or describe the response format.

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 concise sentences: first clearly states purpose, second provides essential payment details. Information is front-loaded, no filler.

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 data retrieval tool, the description covers what it returns, cost, and authentication. It lacks output structure details, but without an output schema, this is acceptable. However, it doesn't distinguish from sibling yield tools, so not a 5.

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 zero parameters, so schema coverage is 100%. The description adds no parameter information, which is appropriate; no parameter documentation is needed. Baseline 4 for zero-param tools.

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

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

Description states 'Top DeFi yield pools by APY.' This clearly identifies the tool's function as listing ranked yield pools. However, sibling tools like defi_yields_pools and defi_yield exist without explicit differentiation, so it's not fully distinguished.

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 instructions are provided. The description does not mention when to use this tool versus similar DeFi alternatives or any 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?

The description discloses important behavioral context: the tool requires payment via the x402 protocol (0.001 USDC per call) and explains authentication options. However, it does not explicitly state that this is a read-only operation, nor does it mention rate limits or response behavior, leaving some transparency gaps since annotations only provide a title.

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 compact and efficient, conveying purpose, request parameters, cost, HTTP equivalent, and payment alternatives in just two sentences. Every component earns its place without unnecessary elaboration.

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 and lack of output schema, the description covers the essential context: what the tool returns conceptually (top APY pools), how to pass parameters, and how to handle payment/authentication. It could be improved by describing the response structure or any pagination behavior, but it is adequate for a basic query tool.

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

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

With an empty input schema, the description fully compensates by listing the parameters limit, chain, and stable with their types and optional status. This adds meaning beyond the schema, though it does not elaborate on the exact effect of each parameter (e.g., chain filters by network, stable filters to stablecoins).

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

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

The description identifies the specific resource (DefiLlama yields pools) and the scope (top APY), making the tool's purpose clear despite not using an explicit verb like 'fetch' or 'get'. It distinguishes from many sibling tools by focusing on top APY pools, though it does not explicitly compare to similar DeFi yield 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 given on when to use this tool versus alternatives such as defi_yield_rates or defi_protocol_tvl. The description implies usage for retrieving top yield pools, but there are no explicit use-case boundaries or exclusion criteria, leaving the agent without decision support.

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

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

With no readOnly/destructive annotations provided, the description carries the transparency burden. It discloses the x402 payment requirement and authentication bypass methods, which is useful. However, it does not explicitly state whether the tool is read-only, what data shape is returned, or any rate limits or pagination behavior, 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.

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

The description is extremely concise: three short lines covering the tool's purpose, HTTP equivalent, and payment method. No redundant words or filler. It front-loads the core purpose and every sentence adds value, making it exemplary in structure.

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, no-output-schema tool, the description gives the essential purpose and payment protocol, but lacks any mention of return structure, typical use cases, or exclusions. Given the simplicity, it is minimally adequate but could be more complete by noting that it returns a list of boosts and suggesting when to use 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 tool has zero parameters, so schema coverage is trivially 100%. The description adds context about the payment header and API key bypass, which is not parameter-related but relevant to invocation. Since no parameter definitions are needed, the baseline score of 4 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 clearly states the tool provides 'DexScreener latest token boosts', identifying the resource and implied action (retrieve). It distinguishes itself from the sibling 'dexscreener_search' by focusing on boosts specifically, though it lacks an explicit verb like 'list' or 'get', which prevents 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?

The description provides no guidance on when to use this tool versus alternatives. It includes the HTTP endpoint and payment requirements but does not suggest scenarios (e.g., monitoring trending boosts) or contrast with related tools like 'dexscreener_search' or 'trending_tokens'.

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 discloses the x402 payment requirement and alternative auth methods, which goes beyond the sparse annotations. However, it does not mention whether the call is read-only, rate limits, or expected response behavior, leaving some transparency gaps.

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 front-loaded with the purpose, followed by the required parameter and payment details. Every sentence adds necessary information with no wasted words.

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

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

For a simple search tool, the description covers purpose, input, and payment, but it lacks output format details and has a discrepancy with the schema (schema shows no required fields while description says q is required). This leaves the agent uncertain about what the response looks like and whether q is mandatory.

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, but the description specifies 'Req: { q: string }', providing the essential parameter and its type. This compensates for the schema's lack of details, though it does not explain what the query string should contain (token name, address, etc.).

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 performs a 'DexScreener token search' with a required query string, making the verb and resource specific. However, it does not explicitly distinguish itself from sibling tools like token_details or dexscreener_boosts, though the search focus is apparent.

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 (e.g., token_details, dexscreener_boosts) or what kind of queries work best. It mentions payment requirements but not context of use.

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 discloses payment requirements (x402 protocol, cost per call) and authentication methods (X-PAYMENT header or API keys). However, annotations carry almost no behavioral information (only a title), so the description is expected to cover more. It omits return format, whether it's read-only, rate limits, or error behaviors, 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.

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

The description is extremely concise and front-loaded. The first phrase 'Cheap domain enrichment' immediately conveys the tool's purpose, followed by the param, cost, and payment details. Every sentence earns its place, with no filler.

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 empty schema, absent output schema, and minimal annotations, the description should provide more context. It fails to mention what data is returned, how 'optional IP geo' is controlled, whether there are limits, or examples of usage. For a tool that requires payment, this is incomplete.

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 additionalProperties true, so the description is the sole source of parameter information. It mentions 'Params: { domain }' and 'optional IP geo', giving some meaning. However, the 'optional IP geo' is vague—no parameter name is given—and the schema provides no structural hints, leaving room for ambiguity.

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 performs domain enrichment by combining DNS/RDAP and optional IP geo. It names the resource (domain) and the specific enrichment types, though it does not explicitly contrast with sibling tools like whois_rdap or ip_info, which slightly reduces 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?

No guidance is provided on when to use this tool versus alternatives. It mentions 'cheap' as a differentiator but does not explicitly compare with whois_rdap or ip_info, nor state scenarios where this tool is preferred. There is no discussion of prerequisites or exclusions.

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

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

Annotations do not include readOnlyHint or destructiveHint, so the description carries the burden. It does disclose the payment requirement (0.001 USDC per call) and the HTTP endpoint/payment options, which are useful behavioral traits. However, it does not explain what the tool returns, side effects, or whether it's a safe read operation.

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 front-loaded with the purpose, followed by payment details. Each sentence serves a distinct purpose (purpose, HTTP equivalent, payment methods). No redundant or filler content. Slightly more detail on the analysis output would improve it, but for its length it is efficient.

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

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

The description lacks essential context: no output format, no definition of 'Druckenmiller-style', no indication of the data source or analysis method. With no output schema and no parameters, the description is the only source of behavior, and it leaves major gaps for an agent trying to use 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, so the schema provides complete coverage (100%). The description adds no param-specific details, but none are needed. The baseline of 4 applies because 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 the topic ('Druckenmiller-style macro regime analysis') with a clear resource and verb, but it lacks specifics about what 'analysis' entails (e.g., what regime signals are produced or how they are derived). It does not differentiate from the sibling tool 'market_regime_indicator', which likely serves a similar purpose.

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 vs. alternatives. It only mentions payment details, which are operational rather than usage guidance. There is no mention of scenarios, prerequisites, or exclusions.

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

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

Annotations are empty, so the description carries the full burden. It discloses cost and authentication requirements, which is useful behavioral context. However, it omits any mention of side effects, read-only nature, response structure, or error handling. The payment info offers minimal transparency beyond the tool's core 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 very brief (two sentences), which is concise but not effective. The content focuses on pricing and payment instead of the tool's purpose, making it under-specified rather than efficiently structured.

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 presumably validates email addresses, the description lacks any functional explanation, input specification, or output details. The absence of an output schema makes the description even more critical, and it fails entirely to provide needed 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 input schema is empty with additionalProperties true, and the description gives no hint about expected arguments (e.g., an email address). With zero parameters documented and no semantic guidance, the agent cannot determine what to pass.

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

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

The description never states what the tool does. It only provides a pricing note, an HTTP endpoint, and payment methods. The name 'email_validate' suggests validation, but the description itself is a tautology—just repeating the name and path without any functional explanation.

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 or how it compares to alternatives like domain_enrich or whois_rdap. No context is provided about use cases, prerequisites, or exclusions.

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

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

The description discloses payment requirements (x402 protocol, cost) and HTTP equivalent, adding behavioral context beyond the title-only annotation. However, it does not mention whether the operation is read-only, what side effects exist, or how to interpret the output.

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 compact and well-structured: the first sentence states purpose, and the second provides payment/endpoint details. No redundant or filler content.

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

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

For a tool with no parameters and no output schema, the description is minimally adequate. It explains the purpose and payment, but omits what the response contains (e.g., registration status only or full exclusion details), which an agent would need to use the output effectively.

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 an empty input schema, so there is nothing for the description to clarify. Per the baseline for 0-param tools, a score of 4 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 clearly identifies the tool as a SAM.gov registration status and exclusion-oriented entity check. This is specific and distinguishes it from broader compliance tools, though it could be even more explicit about being a read-only check.

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 sibling tools like excluded_parties_check or sam_entity_verification. The agent must infer the appropriate use case from the name and description alone.

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

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

The description lacks annotations for safety or side effects, so it must disclose behavior itself. It mentions the x402 payment requirement and authentication bypass methods, which is useful operational context. However, it does not state that the tool is read-only, what data is returned, or any limitations (e.g., date ranges, pagination). The absence of such behavioral disclosure leaves the agent uncertain about the tool's complete 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 relatively compact, with the core purpose in the first sentence and supplementary payment/HTTP details in the following lines. It is front-loaded with the main subject. However, the payment line is densely packed with multiple methods (X-PAYMENT, X-API-Key, X-Owner-Key, Bearer), which could be simplified for easier parsing. Still, it earns its place by providing necessary integration details.

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 lack of an output schema and annotations, the description must explain what the tool returns and how it works. It only says 'records' without specifying whether they are a list, their structure, or any filtering capabilities. The empty parameter schema combined with 'additionalProperties: true' is ambiguous, and the description does not resolve this. Payment and HTTP details are included, but the core data behavior is under-specified, leaving the tool incomplete for an agent to use effectively.

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 zero parameters and 100% schema coverage. Per calibration, 0 parameters yield a baseline of 4. The description adds no parameter-specific information, but since there are no parameters to explain, this baseline is appropriate and no penalty is warranted.

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

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

The description identifies the resource as 'EPA ECHO enforcement and environmental violation records,' making clear it deals with environmental violations. However, it lacks an explicit action verb like 'search' or 'list,' so the tool's behavior remains somewhat implied rather than stated. It does differentiate from sibling tools by naming EPA ECHO, but the absence of a verb keeps it from being a fully clear purpose statement.

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 mentions payment and HTTP details but does not specify use cases, such as 'use for checking EPA enforcement history' or 'prefer this over OSHA for environmental issues.' With over 80 sibling tools, the lack of contextual or alternative recommendations is a clear gap.

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 discloses the per-call cost (0.001 USDC) and payment/auth methods (X-PAYMENT header, X-API-Key, etc.), which are useful behavioral traits. However, it does not explicitly state that this is a read-only operation or describe any rate limits or error conditions. Since annotations provide no safety hints (only a title), the description partially carries the burden but could offer more.

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

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

The description is extremely concise, using only two sentences to convey the purpose, cost, HTTP endpoint, and authentication options. Every sentence adds essential information without redundancy.

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

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

For a simple tool with no output schema, the description does not explain what the response will look like (e.g., JSON format, 'price in USD'). It only implies that 'ETH spot' is returned. Given the lack of output schema, the description should clarify the return value and format, which 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 tool has zero parameters, and the schema confirms this with 100% coverage (vacuously). The baseline for 0 parameters is 4, and there is nothing to add beyond what the schema already communicates.

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 'ETH spot convenience endpoint', which clearly conveys that this tool provides the current ETH spot price. However, it does not explicitly differentiate itself from sibling tools like crypto_price or btc_price beyond the asset name, so it doesn't fully distinguish its unique purpose.

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 instead of alternatives such as crypto_price, btc_price, or coingecko_categories. The description only mentions the HTTP equivalent and payment method, leaving the agent to infer the appropriate use case from the tool 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 adds valuable context beyond the title-only annotation by disclosing the payment cost (0.001 USDC per call) and authentication methods (X-PAYMENT header, API keys). It does not disclose error behavior, chain ID, or whether write methods are permitted, leaving some behavioral aspects unclear.

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

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

The description is extremely compact, delivering purpose, parameters, payment, and HTTP equivalent in two sentences with no filler. Every clause serves a purpose, so it earns top marks for 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 it is a generic RPC tool, the description covers the essential payment and auth mechanisms, but it omits network details (e.g., chain ID), example usage, and error handling. The absence of an output schema and empty input schema put a greater burden on the description, which is only partially met.

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, but the description lists four optional parameters (method, params, address, block). This adds names beyond the schema, yet it does not explain the meaning or expected format of each parameter, so semantic clarity remains limited.

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 names the resource (Ethereum JSON-RPC) and identifies it as a helper, distinguishing it from the sibling base_rpc. However, 'helper' is a weak verb compared to explicit actions like 'execute' or 'send', and it doesn't detail what kinds of RPC calls it supports.

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 usage for low-level Ethereum RPC calls via its param list, but it does not explicitly state when to prefer this over specialized tools like eth_price or gas_tracker. There are no exclusions or alternative comparisons, 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.

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

The description adds behavioral context by disclosing the cost per call (0.001 USDC) and the HTTP endpoint, which goes beyond the sparse annotations. However, it does not explicitly state that this is a read-only operation or describe the response format, leaving some ambiguity about what the tool returns and whether it mutates anything.

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

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

The description is very concise and front-loaded with the core purpose. The additional HTTP and payment details are useful and contained in a compact format. No unnecessary words or repetition.

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 cannot be used correctly because the input mechanism is undefined. There is no description of return values or output schema, and no clarification of what 'exclusion indicators' actually means. The payment information is present but does not make up for the missing operational details.

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, but the tool's purpose implies an entity must be provided. The description fails to explain how to specify this entity (e.g., via query parameter or request body). With additionalProperties: true, the schema is unhelpful, and the description does not compensate for this critical omission.

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 'Check' and identifies a clear resource: 'federal award records with exclusion indicators.' This makes the tool's purpose clear and distinguishes it from generic lookups. However, it does not explicitly contrast it with similar sibling tools like entity_compliance_check or sam_entity_verification.

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

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

No guidance is given about when to use this tool versus alternatives. The description mentions pricing/HTTP equivalents but lacks context about which scenarios warrant this check versus other compliance tools. There are no exclusions or prerequisites 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 description discloses key behavioral traits not covered by annotations: the x402 payment requirement (0.001 USDC per call) and alternative authentication methods (X-PAYMENT header or API keys/tokens). This is valuable context beyond the sparse title-only annotation, though it doesn't mention rate limits 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 appropriately short and front-loads the purpose, but it intermixes payment and HTTP endpoint details. These are useful but arguably belong in a separate metadata field, slightly reducing structural 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?

The description covers purpose and payment but omits critical invocation details: how the drug is specified, what the report contains, and any output format. For a data retrieval tool with no output schema, this leaves significant gaps for an agent to use it correctly.

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

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

With zero parameters in the schema, the description adds some meaning by stating the tool is 'for a drug', but it fails to specify how to provide the drug (e.g., parameter name or format). The empty schema with additionalProperties leaves the agent guessing, and the description does not bridge that gap, making correct invocation ambiguous.

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

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

The description clearly identifies the tool as returning FDA FAERS adverse events for a drug, which distinguishes it from siblings like fda_drug_recall_alert or openfda_drug_label. However, it lacks an explicit verb such as 'get' or 'fetch', so it reads as a noun phrase rather than an action.

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 choose this tool over alternative FDA-related tools (e.g., fda_drug_recall_alert, openfda_drug_label). It focuses on payment details but does not state any prerequisites, exclusions, or scenarios where this tool is 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?

The description discloses the per-call cost (0.001 USDC) and the x402 payment requirement, which is useful behavioral context. However, it does not state whether the operation is read-only, what data it returns, or any error/edge behavior. The annotations provide only a title, so the description carries the full transparency burden but only partially addresses it.

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

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

The description is extremely concise and well-structured, with the core purpose in the first sentence, followed by HTTP equivalent and payment instructions. Every sentence adds value and there is no fluff.

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 no output schema, the description is mostly complete and self-contained. It covers the main function and the unique payment mechanism, but it omits whether optional query parameters are accepted (given additionalProperties: true) and does not describe the response format. Overall, it is adequate with minor 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 has zero parameters, and the description correctly does not attempt to document any. The baseline for zero parameters is 4, and no additional parameter information is needed.

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 it provides 'FDA drug recall enforcement reports via openFDA', which identifies the resource and scope. It distinguishes from sibling tools like fda_food_recalls by specifying 'drug recall' and 'enforcement reports', though it lacks an explicit verb like 'get' or 'retrieve'.

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

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

There is no guidance on when to use this tool versus alternatives such as fda_warning_letters or fda_adverse_events_report. It only mentions payment and HTTP equivalent, which are operational details, not usage context. No exclusions or alternatives are given.

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 discloses the HTTP GET method and x402 payment protocol, which adds some behavioral context (payment required, how to authenticate). However, it does not state whether the operation is read-only, the response format, or rate limits. Since annotations only include a title, the description carries a burden it only partially meets.

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

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

The description is concise—two short sentences with no fluff—but it is not front-loaded with the tool's purpose. The HTTP and payment details are useful, but the missing purpose makes it less effective than it could be. It is appropriately sized but incomplete.

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

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

For a simple tool with no parameters, the description still needs to at least explain what the tool returns or does. It lacks any statement of functionality, making it incomplete for an agent deciding whether to use it. Without an output schema or behavioral details, the agent is left 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 tool has zero parameters and the schema is empty. With no parameters, the description does not need to compensate for schema gaps, so the baseline score of 4 applies. The description adds no param info, but none 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 merely repeats the tool name and provides an HTTP equivalent without stating the tool's function using a verb. It does not specify what 'fda_food_recalls' does (e.g., 'returns a list of FDA food recalls'). The name is suggestive but the description lacks a clear resource and action.

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

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

No guidance is given on when to use this tool versus alternatives like fda_drug_recall_alert or fda_warning_letters. The description only mentions payment details, which are not usage guidance.

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

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

With only a title annotation and no read-only or destructive hints, the description must disclose behavior. It only mentions payment protocol and HTTP equivalent, but does not state whether the call is read-only, what data is returned, or any side effects. The cost and bypass mechanism are useful but do not explain 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.

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

The description is concise and includes payment/authentication details in a clear, structured format. However, the opening phrase is a sentence fragment and could be improved with a complete verb phrase; the payment details could also be separated more clearly from the functional description.

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

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

The description lacks crucial context: it does not specify what fields are in a warning letter, whether results are paginated, how to filter or query, or any example usage. With no output schema and minimal annotations, the description leaves the agent uncertain about what to expect from the call, making it incomplete for reliable tool selection.

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 no parameters, and the description adds no parameter-specific meaning. Since there are zero parameters, the baseline score of 4 is applied, which reflects that no further parameter documentation is necessary.

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

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

The description identifies the resource as FDA warning letters and characterizes them as regulatory enforcement actions, but it lacks an explicit verb such as 'list' or 'search' to define the operation. This leaves ambiguity about whether the tool retrieves a list, a single letter, or allows search.

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 relative to sibling FDA-related tools like fda_adverse_events_report or fda_food_recalls. The description is silent on selection criteria, use cases, or alternative 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 only include a title, so no read-only or destructive hints are present. The description adds useful behavioral context about the x402 payment requirement and header authentication options, but it does not clarify whether the operation is read-only, what data is returned, or any limitations.

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, with the core statement in one line and payment/endpoint details in the second. It avoids verbosity, though the '(x402: 0.001 USDC per call)' parenthetical is slightly cryptic but acceptable.

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

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

For a simple no-argument tool, the description is adequate but minimal. It explains payment and HTTP equivalent, but fails to describe the response format or index scale (e.g., numeric range, categories). Since there is no output schema, a bit more explanation of what the agent can expect would improve completeness.

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 an empty schema, so parameter documentation is not needed. The baseline for no parameters is 4, and the description correctly avoids adding irrelevant parameter details.

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 identifies the tool's subject as 'Crypto Fear & Greed index', which is specific and distinct from sibling tools. However, it lacks an explicit verb like 'get' or 'fetch', so it reads as a noun phrase rather than a full action statement.

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 payment and endpoint details but gives no guidance on when to use this tool versus other crypto market tools like btc_price or crypto_global. No alternatives or exclusion criteria 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 description discloses the access method (HTTP GET via x402 protocol, with payment/authentication options) but does not explicitly state that the operation is read-only or describe any side effects, rate limits, or response characteristics. Since annotations do not include readOnlyHint or destructiveHint, the description carries the burden and partially fulfills it by indicating a data retrieval operation.

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 sentences: the first provides the core purpose, the second covers payment and HTTP details. It is front-loaded, free of fluff, and every sentence adds value.

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

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

For a simple, parameterless data retrieval tool, the description adequately covers the main resource categories and access requirements. It doesn't detail response format, but that's uncovered because no output schema exists. Overall, it's sufficient for an agent to understand what it returns 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 tool has zero parameters and an empty schema, so the description need not explain parameter semantics. Per the rubric, a baseline of 4 applies when there are no parameters.

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 names the resource (FEC campaign finance) and specifies the data types provided (candidates, committees, contribution totals). It distinguishes itself from related tools like lobbying_disclosures or congressional_bills_search by focusing on campaign finance. However, it lacks an explicit verb like 'get' or 'retrieve', making it slightly less action-oriented.

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. The description only mentions payment details and the HTTP equivalent, not selection criteria, exclusions, or typical use cases. Users must infer applicability from the domain 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?

The description discloses the per-call cost and authentication/authorization mechanisms (X-PAYMENT, API key/Bearer bypass), adding useful operational behavior beyond the title-only annotation. However, it does not describe response format, read-only safety, or other outcome-related behavior, and there is 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 two sentences, with the primary purpose first and compact operational details second. Every clause provides useful information, with no filler or repetition of schema content.

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

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

A critical gap remains: the description says 'by contractor name' but never specifies how to provide that name (e.g., query parameter key or syntax). It also does not describe the return payload despite having no output schema. Payment details are helpful but do not make the tool fully invocable.

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 schema parameters, the baseline is 4. The description adds a meaningful semantic—that results are scoped by contractor name—even though the exact parameter key or format is not given. Since the schema is empty, this extra context is valuable and not redundant.

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 identifies the resource ('Contract award history') and the key scope ('by contractor name'), distinguishing it from siblings like federal_contract_opportunities or federal_spending_by_agency. It uses a noun phrase rather than an active verb, but the meaning is 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 given on when to use this tool versus related federal tools, such as federal_contract_opportunities for open opportunities. The only extra context is HTTP/payment details, not use-case direction.

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 mentions the per-call cost (0.001 USDC) and required authentication methods (x402 payment header or API key/Bearer token), which are important behavioral details not present in annotations. However, it does not explicitly state that the tool is read-only, describe potential rate limits, or outline what response format to expect, leaving some transparency gaps.

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

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

The description is extremely concise: two sentences. The first sentence front-loads the core purpose, and the second provides essential HTTP and payment context. No unnecessary words or repetition.

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 (no parameters, no output schema), the description covers the essential aspects: purpose, data source, cost, and authentication. It could be improved by mentioning the response format, but for a low-complexity data retrieval tool, it is largely 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 is empty (0 parameters), so the baseline is 4. The description adds no parameter details, but none are needed since the tool takes no parameters. Any additional information about output shape would be more relevant to completeness than parameter 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 'Federal contract AWARDS (USAspending) — who won what.' This specifies the resource (federal contract awards), the data source (USAspending), and the exact information provided (who won what), distinguishing it from sibling tools focused on opportunities or aggregated spending.

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 implied by the description: an agent seeking federal contract award details would use this tool. However, there is no explicit guidance on when to choose this over related tools like 'federal_award_history' or 'sam_opportunities', and no alternatives 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?

With only a title annotation, the description carries the behavioral burden. It does disclose the cost (0.001 USDC per call), the HTTP equivalent, and payment/authentication methods (X-PAYMENT header, API-key bypass). However, it does not describe the output format, scope of data, or whether the operation is strictly read-only, which would be valuable.

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 brief and front-loaded with the core function, followed by payment details. The sentence about HTTP equivalent and payment is useful but takes up half the description; still, it is not bloated and every sentence provides actionable 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 simple nature (no parameters, no output schema), the description conveys the basic purpose and payment requirement. However, it lacks information about the returned data structure, update frequency, or how it differs from other federal spending-related siblings, leaving some ambiguity about what an agent will receive and when it should be chosen.

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 trivially 100%. Since no parameters exist, the description needs to add no parameter semantics; the baseline of 4 is appropriate and the description does not need to compensate.

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 'Federal spending breakdown by agency,' which clearly identifies the resource (federal spending) and the function (breakdown by agency). It distinguishes from siblings like federal_award_history and federal_contract_opportunities by focusing on spending rather than awards or contracts, though it lacks a verb and could be more specific about time periods or data source.

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. There is no mention of exclusions, prerequisites, or related tools that might be more appropriate for specific queries, 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?

The description discloses x402 payment cost and authentication methods (X-PAYMENT header, API keys, bearer token), which are useful behavioral traits beyond the title annotation. However, it does not state whether the tool is read-only or describe response behavior, leaving notable gaps.

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, with three short sentences covering the resource, HTTP equivalent, and payment requirements. No wasteful filler, though it could have used the brevity to add parameter hints.

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 no output schema and empty input schema, the description is incomplete for actual invocation. It lacks required parameter guidance, return format, and typical usage context, making it difficult for an agent to call correctly without external knowledge.

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 but additionalProperties is true, implying the tool accepts arguments. The description does not specify any parameters (e.g., series ID, date range), so an agent has no clue what to pass to make a valid request.

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 identifies the tool as providing FRED economic indicator series from the Federal Reserve Bank of St. Louis, which distinguishes it from sibling tools by naming a specific authoritative source. However, it lacks detail on the specific series or how to select 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 description offers no guidance on when to use this tool versus alternative economic data tools like treasury_yields or market_regime_indicator. It focuses entirely on payment mechanics and the HTTP endpoint, not on use cases or selection criteria.

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

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

With only a title annotation, the description carries the burden of disclosure. It provides valuable behavioral context: per-call cost (0.001 USDC), payment protocol (x402 header, base64 payload), and alternative auth methods (X-API-Key, Bearer token). It doesn't explicitly state read-only behavior, but that is inherent from 'funding rates'. This goes beyond typical descriptions.

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

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

The description is extremely concise, with only three sentences covering purpose, parameters, default behavior, HTTP equivalent, and payment. Every sentence earns its place; no redundant 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?

For a simple one-parameter tool, the description covers the essential aspects: what it does, optional parameter, default behavior, HTTP endpoint, and payment. It doesn't describe the return format, but with no output schema this is a minor gap. Overall, sufficient for an agent to use 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 input schema has no properties, but the description introduces and documents the optional 'symbol' parameter with a default behavior ('default top set'). This adds crucial meaning beyond the schema, effectively compensating for the empty schema and providing clear guidance on parameter usage.

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 identifies the resource: 'Perp funding rates — Binance USDT-M premium index.' It specifies the exchange and contract type, distinguishing it from broader siblings like 'perp_funding_aggregator'. However, it lacks an explicit verb such as 'Get' or 'List', so purpose clarity is strong but not perfect.

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 usage through 'default top set' and 'Params: { symbol?: string }', indicating that omitting symbol returns a top set while providing a symbol fetches specific data. It also gives HTTP equivalent and payment instructions, but does not explicitly state when to choose this tool over siblings like 'binance_funding' or 'perp_funding_aggregator'.

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 provide no read-only or destructive hints, so the description must disclose behavior. It does disclose the x402 payment requirement (0.001 USDC/call) and available auth methods, which is valuable. However, it stops short of describing response structure or rate limits.

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 compact and front-loaded. The first sentence states the purpose, and subsequent sentences cover parameters/cost, HTTP endpoint, and payment/auth—all essential and non-redundant.

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

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

For a tool with no output schema and minimal annotations, the description provides core invocation details: parameters, cost, endpoint, and authentication. It omits the response format, but that is largely self-evident for a rate lookup service.

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, but the description introduces optional 'base' and 'symbols' parameters with a CSV format hint. This effectively compensates for the schema, though it lacks details like allowed currency codes or default behavior.

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 identifies the tool as providing FX rates from the European Central Bank via Frankfurter. This is specific and distinguishes it from crypto price tools in the sibling list, though it lacks an explicit verb like 'get'.

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 usage for fiat exchange rates by naming the ECB source, but it does not explicitly state when to prefer this over alternatives like crypto_price or coingecko tools, nor does it provide exclusion criteria.

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 provide only a title, so the description carries the full burden. It discloses the payment requirement (x402: 0.001 USDC per call), authentication methods, and HTTP endpoint, which are important behavioral traits. However, it does not describe the response format or any other behaviors (e.g., rate limits, error handling).

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 front-loaded with the core purpose in the first sentence. The additional HTTP and payment lines are informative but could be better integrated. Overall, it is compact with no wasted words.

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

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

With no output schema, the description should explain return values, but it does not detail what the response contains. It provides the endpoint and payment method, which is useful, but the lack of response details leaves a gap for such a simple tool.

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

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

The tool has zero parameters and the schema coverage is 100%, so the baseline is 4. The description adds no parameter semantics because there are no parameters to describe; it appropriately focuses on output and payment.

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

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

The description clearly states the tool's function: 'Track gas prices across chains in gwei and USD for common tx types.' This specifies the verb (track), the resource (gas prices), and the scope (across chains, units, and transaction types), distinguishing it from sibling tools like btc_price or funding_rates.

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 usage through its purpose statement—if you need gas prices, use this tool—but it does not explicitly mention when to use it versus alternatives, nor does it state any exclusions or prerequisites beyond payment info. The HTTP equivalent and payment details provide context but no explicit guidance.

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

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

The description discloses important behavioral details beyond the sparse annotations, including the per-call cost (0.001 USDC), the x402 payment protocol, and authentication bypass options (X-API-Key, Bearer token). This adds useful context for the agent. However, it does not explain what the response contains or any rate limits, leaving some transparency gaps.

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

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

The description is extremely concise: two sentences. The first sentence states the purpose and cost, the second provides the HTTP endpoint and payment details. Every sentence adds value, and the structure is front-loaded for quick comprehension.

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

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

For a simple no-parameter tool, the description covers the core usage: what it is, how to pay, and the HTTP equivalent. However, it lacks information about the response format or data structure, which is necessary since there is no output schema. The description is adequate but leaves the agent to guess at the actual returned content beyond 'trending pools'.

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 parameters, so the baseline is 4. The description does not need to explain parameter semantics for a parameterless tool, and it does not clutter the description with unnecessary details.

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

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

The description identifies the resource ('GeckoTerminal trending pools') and notes it is public, making its function clear. However, it lacks an explicit verb (e.g., 'Get' or 'List'), and the title 'Geckoterminal Trending' is somewhat redundant. It is still distinct from sibling tools like dexscreener_search or trending_tokens.

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 alternative crypto/trending tools. The description only states what it is and the payment method, leaving the agent to infer appropriate 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 provide only a title, no readOnlyHint or destructiveHint, so the description carries the burden. It discloses that the tool is free and includes all paid capabilities, which is useful context, but it does not describe what happens when invoked, whether authentication is needed, or what the output looks like. This is a read-like operation, but no safety profile is explicitly stated.

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 (two sentences) and front-loads the key fact 'FREE'. The second sentence 'No payment required' is somewhat redundant with 'FREE', but overall it is efficient and avoids 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?

Given the tool has no output schema and minimal annotations, the description should explain what the agent will receive (e.g., the structure of beacons), the meaning of 'discovery links', and how the 'limit' parameter affects results. None of this is included, leaving significant gaps for correct 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 has a single optional parameter 'limit' with its own description ('Optional max paid beacons.'), so schema description coverage is 100%. The tool description adds no additional meaning beyond the schema, aligning with the baseline score of 3.

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 indicates this tool provides the full Agent Magnet Beacon set for the scriptmasterlabs ACP agent, including all paid capabilities and discovery links. It distinguishes itself from the sibling tool 'list_magnets' by specifying a particular flavor (agent magnet beacons) and context (scriptmasterlabs ACP), though it does not explicitly use a verb like 'retrieves' or '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?

There is no guidance on when to use this tool versus alternatives like 'list_magnets' or other beacon-related tools. The mention of 'FREE' and 'No payment required' hints at a cost benefit, but it does not state conditions for use or exclusions.

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

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

The description does disclose payment-related behavioral traits (cost, x402 protocol, and alternative auth headers), which is beyond the sparse annotations. However, it says nothing about the core behavior—what it computes, what outputs it returns, or any side effects. Since annotations do not provide read-only or destructive hints, the description carries full responsibility and fails to cover the main 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 short but inefficient: the first sentence merely restates the name and price, adding no functional value. The remaining payment instructions are useful but the absence of a core purpose makes the overall structure under-specified rather than concise.

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 output schema and no parameter documentation, so the description must explain both inputs and outputs. It does neither, leaving the agent completely in the dark about what hash_compute does. The only useful context is payment, which is insufficient for a tool with such ambiguity.

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 defines zero parameters, so there is nothing to describe. The baseline for 0 parameters is 4. However, the schema allows additionalProperties: true, meaning arbitrary inputs might be accepted without any documentation, which is a minor gap, but not enough to lower the score below 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 only restates the tool name ('hash_compute') and gives pricing/payment details. It never states what the tool actually computes, what algorithm it uses, or what inputs it accepts. This is tautological and fails to distinguish it from siblings like hmac_compute or base64_encode.

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 or when to prefer alternatives. The description only covers payment mechanics, leaving the agent without any contextual signal for selection.

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

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

The description discloses payment requirements and an HTTP equivalent, which is useful behavioral context beyond the minimal title annotation. However, it omits the actual conversion behavior, side effects, or input/output expectations, which is critical for a tool with no safety 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 text is concise and avoids waste, but the structure prioritizes payment metadata over the tool's core purpose. It reads more like an API billing notice than a tool description, and the lack of functional details makes it incomplete.

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 schema or output schema, the description must explain what the tool does and how to use it. It fails to mention hex conversion behavior, inputs, or outputs, and only covers payment and HTTP mapping, leaving a significant contextual 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 documented parameters, and the schema has no properties, so the baseline of 4 applies. The description adds no parameter information, but none is required for a parameterless tool, though additionalProperties:true is unaddressed.

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 does not state what the tool does; it only repeats the name 'hex_convert' and immediately pivots to payment details. No verb, resource, or explanation of hex conversion is provided, and it does not distinguish the tool from siblings like base64_encode or number_format.

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 zero guidance on when to use this tool versus alternatives. No use cases, exclusions, or comparisons to related tools are mentioned, leaving the agent without any basis for selection.

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

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

With no safety annotations (only a title), the description carries the full burden of explaining behavior. It mentions cost and payment headers, which is operational context, but it fails to disclose core behavioral aspects like required input format, output structure, or potential side effects. The tool's actual computation behavior remains undefined.

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

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

The description is extremely concise, consisting of two short sentences. It front-loads the name and cost, then provides HTTP and payment details with no filler. While the content is sparse, it is appropriately sized and well-structured for what it does convey.

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 cryptographic computation tool, this description is completely inadequate. There is no output schema, the input schema is empty, and the description provides no information about expected input fields, algorithm details, or return values. An agent cannot correctly invoke this tool with the provided 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?

Baseline for 0 parameters is 4. The input schema is empty with additionalProperties true, so the agent has no defined parameters to interpret. The description does not add any parameter guidance, but since there are no explicit parameters, the baseline holds. However, the lack of any explanation about what the agent should send as input is a notable 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 does not state what the tool actually does. It opens with the tool name and pricing but never explains that it computes an HMAC, defines its inputs, or differentiates it from sibling tools like hash_compute. The purpose is only implied by the name, making it almost a tautology.

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. The description lacks any use case, comparison to sibling tools, or context for selecting it. An agent would have no idea which scenarios warrant hmac_compute over hash_compute or other hashing 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 description discloses useful behavioral details: the x402 payment cost (0.001 USDC per call), HTTP method, and authentication bypass options. However, it does not mention safety implications (though 'analysis' implies read-only), error behavior, or rate limits. With annotations only providing a title, the description carries the burden and only partially fulfills it.

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 short sentences, with the purpose front-loaded, followed by HTTP and payment details. Every sentence adds necessary operational context 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 paid API tool with no output schema, the description should explain what input is needed and what the response contains (risk flags, score, etc.). It only provides payment and auth info, leaving significant gaps in operational completeness.

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 no explicit properties (additionalProperties true), so the description should compensate by explaining what parameters to pass (e.g., token contract address). It does not mention any input parameters at all, leaving the agent without guidance on what to provide.

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 'Focused rugpull risk analysis for a token contract', specifying the verb (analysis), resource (token contract), and scope (rugpull risk). It does not explicitly differentiate from the sibling tool 'rugpull_detector', which likely overlaps, so it misses the top score.

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 on when to use this tool versus alternatives like rugpull_detector or token_security_audit is provided. Payment and HTTP details are given, but these are operational, not usage context for tool selection.

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

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

The description provides no behavioral details beyond payment headers. No mention of what the tool checks, side effects, return values, or permissions.

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

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

The description is extremely short, but the limited content is mostly payment logistics, not the tool's purpose. It is under-specified rather than efficiently concise.

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

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

With no output schema and no functional description, the tool is completely opaque. The payment details alone are insufficient.

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 is empty with additionalProperties true, so the description must explain expected inputs. It only mentions payment headers and does not describe any functional parameters.

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 only states the tool name and payment info; it does not describe what the tool does. 'HTTP equivalent: GET /x402/http-check' is cryptic and does not clarify the function.

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

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

No guidance on when to use this tool or alternatives. No context or exclusions 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 discloses important behavioral traits beyond the minimal annotations: the cost per call (0.001 USDC) and the payment methods (X-PAYMENT header, API key, or bearer token). It also provides the HTTP equivalent, aiding agent understanding. No contradictions 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 extremely concise: one line for purpose, one for the HTTP endpoint, and one for payment details. Every sentence earns its place, with no filler or repetition.

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

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

For a simple no-parameter tool, the description provides the core purpose, cost, authentication method, and endpoint. It does not describe the response format, but that is not strictly necessary given the simple nature of the tool and the absence of an output schema. Overall, it is sufficiently complete for an agent 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 tool has zero parameters, and the description correctly does not attempt to explain any. Per the rubric, a zero-parameter tool receives a baseline of 4, and the description adds no unnecessary param info.

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 identifies the tool as returning Hyperliquid all mid prices, distinguishing it from sibling tools like crypto_price or hyperliquid_meta. However, it lacks an explicit verb (e.g., 'get' or 'list'), making it a noun phrase rather than a full action statement.

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 such as hyperliquid_meta or crypto_price. The description only states what it does and how to pay, but does not explain under what circumstances this tool is 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 provide no behavioral hints, so the description carries that burden. It discloses the HTTP method (GET), 'public info' access level, and payment/auth requirements (x402 protocol, headers), which are useful. However, it does not state whether the operation is read-only, describe errors, or mention rate limits, leaving some behavioral uncertainty.

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 front-loaded with the tool's name and 'public info' label. Payment details are clearly separated. It is appropriately sized for a simple endpoint, though the opening line is vague.

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

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

With no output schema and no parameter details, the description should explain what the response contains. 'Meta universe' is ambiguous and gives no hint of the actual data returned, so the agent cannot predict the tool's output. It also omits any limitations or scope.

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 defined parameters, so the baseline of 4 applies. The description adds no parameter info, but none is needed since the schema is empty.

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 'Hyperliquid meta universe (public info endpoint)' essentially restates the tool name and adds only a vague 'public info' label. It does not specify what data or action the tool provides, nor does it distinguish it from sibling tools like hyperliquid_all_mids.

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. It does not mention any use cases, exclusions, or competing sibling tools, leaving the agent without context for selection.

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

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

Annotations are minimal (only a title), so the description must carry the transparency burden. It discloses the payment requirement (x402 protocol) but fails to reveal that the tool likely uses the request's IP address since the schema has no parameters. Risk of unexpected behavior is not communicated.

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

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

The description is short and front-loaded with payment details, but it omits the core purpose. While concise, the sentences fail to earn their place because they focus on ancillary details instead of the tool's primary function.

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

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

For a tool with no output schema and no params, the description still needs to state what the tool does and what it returns. It does neither. The payment and endpoint info are useful but do not compensate for the missing functional description.

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 the baseline for 0 params is 4. The description adds nothing about parameters, but there are none to explain. The presence of additionalProperties: true in the schema is not addressed, but this is a schema detail rather than a description 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 never states what the tool actually does. It only provides the name, payment details, and an HTTP equivalent. This is effectively a tautology of the name 'ip_info' without specifying the function or resource.

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. The description does not mention typical use cases, prerequisites, or scenarios where another tool would be better suited.

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 only provide a title, so the description carries the full burden of behavioral disclosure. It does not mention the transformation behavior, input/output, side effects, or safety profile (e.g., read-only vs. mutation). The payment information is behavioral but irrelevant to the tool's core operation.

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

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

The description is short but poorly structured for utility. It front-loads pricing and HTTP headers but never mentions the primary purpose. While every sentence is technically informative about payment, none of them earn their place for tool selection or invocation. It's concise in length but not in substantive content.

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

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

With no output schema and no parameter documentation, the description is completely inadequate for understanding what this tool does or how to use it. Even the simple conversion function is not stated. The payment details do not compensate for the missing functional 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 input schema has zero defined properties and additionalProperties true, so no parameter information is available. Schema coverage is vacuously 100%, but the description adds nothing about what inputs to provide (e.g., JSON string, file path). This is insufficient for an agent to know how to invoke the tool correctly.

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 does not state what the tool does at all. It only provides pricing, an HTTP equivalent, and payment methods. The tool's function is only implied by its name and title, which is not sufficient. No verb or resource is mentioned, so this is essentially missing.

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 or how it differs from alternatives like csv_to_json. The description solely focuses on payment details, with no contextual or conditional usage information. An agent would have no idea which scenarios warrant 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 description discloses cost and authentication options, which are useful, but it does not describe the tool's actual behavior: what it accepts, what it returns, whether it's read-only, or any side effects. Annotations only provide a title, so the description must carry the full transparency burden and fails 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 brief and front-loaded with the cost, but it allocates space to payment mechanics while omitting the core purpose. It is concise in length but not well-structured for an agent's needs, as the most essential information (what it does) 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?

A conversion tool without parameters defined implies the input must come from somewhere, but the description never explains how to provide the JSON to convert or what the output format looks like. With no output schema, this is a critical gap. Other sibling conversion tools would need similar input context, but this description does not provide enough 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 input schema has zero declared parameters and 100% schema description coverage, so the description does not need to add parameter details. The baseline for zero params is 4, and the description appropriately stays silent on this front.

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 never explicitly states that the tool converts JSON to YAML. It opens with the tool name itself and then provides HTTP and payment details, so the purpose is only inferred from the name/title. This is essentially a tautology with extra metadata.

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

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

There is no guidance on when to use this tool versus alternatives like yaml_to_json, json_to_csv, or json_validate. It does not mention acceptable input formats, prerequisites, or context, leaving the agent without decision support.

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 does not disclose any behavioral traits such as whether the operation is read-only, has side effects, or returns particular error messages. The annotations provide no readOnlyHint or destructiveHint, and the description fails to add context beyond the payment method and HTTP endpoint. It does not explain what happens on success/failure or any constraints.

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

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

The description is short and reasonably compact, with lines for the name, price, HTTP equivalent, and payment instructions. However, the structure prioritizes payment details over functional description, and the absence of a 'what it does' line means the text is under-specified rather than efficiently concise. The information present is organized clearly, but the content fails to cover the tool's 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 tool has no output schema, no parameter details, and no useful annotations. The description does not explain the validation behavior, input format, return value, or error handling. This makes the tool completely inadequate for an agent to successfully invoke it without additional knowledge. Only the payment mechanism is described, which is insufficient for correct usage.

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 with additionalProperties true, so the schema provides no parameter meaning. The description also omits any information about what input the tool expects (e.g., a JSON string, a file, or an object). With no parameters documented and an open additionalProperties, the agent has no guidance on what to pass, making this a significant 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 does not state what the tool does; it only repeats the tool name 'json_validate' and gives the HTTP equivalent and payment details. The title 'Json Validate' is also a restatement. There is no explicit verb+resource statement that clarifies the tool's function, making it tautological and not informative beyond the name.

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 typical use cases, input requirements, or relationships to sibling tools like email_validate or regex_test. The only extra information is the payment protocol, which is about invocation cost, not when to choose 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 description focuses solely on payment via X-PAYMENT or API keys, and the HTTP equivalent. It fails to disclose what the tool actually does, whether it is a read-only operation, what input it accepts, or any side effects. Annotations are minimal (title only), leaving the burden on the description, which it does not carry.

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

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

The description is short, but it is under-specified rather than concise. It front-loads pricing and endpoint information instead of the tool's purpose, and it omits essential operational details. Every sentence focuses on billing, none on functionality.

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 an output schema, empty input schema, and only a title annotation, the description is the sole source of context. It is severely incomplete: it does not explain what the tool decodes, how to provide the token, or what the response looks like. The payment details are irrelevant to operational use.

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