Netfluid

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

With no annotations, the description discloses the authorization need (admin api_key) and the temporal nature of the block. It does not elaborate on side effects such as active session invalidation or the concrete reversal process, leaving some behavioral ambiguity.

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

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

The description repeats 'Temporarily blocks access to the wallet' in the first two sentences, wasting words. The param/return documentation is structured but the duplication makes it less concise than it could be.

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 two-parameter tool with an output schema, the description covers purpose, auth requirement, and temporal effect. It could add more context about side effects, but the essentials are present and the output schema likely fills in return 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?

Schema coverage is 0%, so the description must add meaning. It explains api_key as requiring admin privileges and wallet_fk as the identifier to pause, which is helpful. The wallet_fk explanation is somewhat circular but does clarify its role as the target, and the admin requirement is explicit.

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 specific action (blocks access) and resource (the wallet), with scope ('for all systems') and temporality. It does not explicitly name sibling alternatives but is distinct enough from access_resume and account_pause by the wallet-specific focus.

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 intended use is implied: to temporarily block wallet access for all systems. However, there is no explicit guidance on when not to use it, nor are alternatives like access_resume or account_pause mentioned. The admin privilege requirement is stated, but comparison with related tools is absent.

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 empty annotations, the description carries the full burden. It discloses the action and a benefit (easier future token acquisition), but does not mention whether the assignment overwrites existing links, reversibility, or permission requirements. The response is only described as 'a json object', leaving side effects and failure modes 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 contains an exact duplicate sentence, adding no value and wasting space. The structure with @param and @return is helpful, but the duplication is a clear flaw that could easily be fixed.

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 an output schema, so return details are covered. However, with 5 required parameters and no annotations, the description is incomplete: it fails to explicitly document user_id and platform, and provides limited behavioral context. It is adequate but leaves an agent to infer key 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 description documents api_key, token, and wallet_fk with their sources, but omits user_id and platform which are also required. The overall sentence implies what user_id and platform refer to, but doesn't specify exact expected values or formats. Schema coverage is 0%, so the description only partially compensates for the missing parameter documentation.

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

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

The description clearly states the specific action: assigning a wallet_fk to a channel (discord, telegram, whatsapp) user id. This distinguishes it from sibling tools like login or pause, and the verb+resource is explicit and 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?

The description gives a clear usage context: prompt the customer to perform this assignment because it makes future token retrieval easier. It does not explicitly mention when not to use it or alternatives, but the context is clear enough for an agent to decide when to call 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 annotations, the description carries the full burden of behavioral disclosure. It discloses the critical single-attempt limitation and the consequence of a wrong PIN, plus the fact that it works on any wallet_fk/PIN combination. It could add side-effect details (e.g., whether the token is invalidated), but the key risk is covered.

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 largely concise and front-loaded, with the primary action in the first line. However, the first sentence is duplicated verbatim (repeated again in the second paragraph), which wastes a sentence. Overall structure with warnings and params is clear.

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

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

Given that an output schema exists, the description appropriately focuses on usage and constraints. It covers the tool's purpose, the single-attempt rule, and the 'shortcut' context. It does not explicitly state prerequisites (e.g., that the user must have a PIN set via the website), but this is implied by the website reference in the warning.

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 0% description coverage, so the description must compensate. It adds that pin is 5-digit numeric, which is useful. However, wallet_fk is described only as 'The wallet_fk', providing no additional meaning, and there is no guidance on how to obtain a valid wallet_fk.

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 retrieves a token using wallet_fk and a 5-digit PIN. It explicitly identifies itself as a shortcut to the token and notes it works on any wallet_fk/PIN combination, which distinguishes it from sibling tools like access_recover or session_2_token.

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 clear usage context: use this when you have a wallet_fk but no token. It also warns that only 1 attempt is allowed and that a wrong PIN forces sending the user back to the website, which guides behavior. It does not explicitly name alternative tools or exclusion criteria, so it stops 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?

With empty annotations, the description carries the full burden. It discloses an important precondition (previous wallet_fk assignment) and hints at token retrieval, but does not explicitly state whether it is read-only, nor does it mention error conditions 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 first two sentences are redundant, repeating nearly the same retrieval statement. The description could be condensed to one sentence, and the @param/@return structure is clear but the duplication reduces 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?

The description covers purpose, parameters, preconditions, and return type. However, it lacks details about the returned list contents, pagination, or error handling. Given the output schema exists, the return is minimally handled, but more differentiation from similar tools 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 input schema provides no property descriptions, but the @param lines add meaning: user_id is the chat-specific customer ID and platform is limited to discord, telegram, or whatsapp. This compensates well for the sparse 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 retrieves a list of wallets associated with a specific channel (discord, telegram, whatsapp) and user id. The verb 'Retrieves' and resource 'list of wallets' are specific, and the channel+user scope distinguishes it from sibling wallet list 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?

The description mentions a precondition ('only works if the wallet_fk has been previously assigned') and a downstream use (get a token), which implies when it is applicable. However, it does not explicitly contrast with alternative tools or state when not to use it.

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

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

With empty annotations, the description carries the full burden of behavioral disclosure, but it only states that the tool recovers a private key and returns certain fields. It fails to mention side effects, required permissions, security implications, or whether the operation is reversible or destructive. The truncated sentence further reduces transparency about the recovery process.

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 repeats the opening sentence verbatim, wasting space, and includes an incomplete sentence. The doc comments are appended without polished formatting, though they are concise. Overall, the structure is functional but contains clear redundancies and truncation that detract from 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 tool's purpose and parameters are covered, and the return object is described. However, the description lacks usage guidance, security context, and any mention of prerequisites, especially given the sensitivity of recovering a private key. The incomplete 'It's preferable...' sentence leaves a noticeable gap. For a simple 2-parameter tool, this is adequate but not complete.

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

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

The @param comments add meaning beyond the schema: api_key is described as 'The api key allocated to your application' and words as 'A set of 24 recovery words, space delimited'. This provides important context about format and constraints, especially since the schema has no property descriptions. The description effectively compensates for the 0% schema coverage.

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

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

The description clearly states the tool's action: 'Recovers the Netfluid wallet's private key from a set of 24 keywords.' It also specifies the return object with fields, making the purpose unambiguous and distinguishing it from sibling tools like netfluid__crypto_from_key or netfluid__wallet_mnemonic. The verb 'Recovers' and resource 'private key' are specific and actionable.

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. The incomplete sentence 'It's preferable that the person trying to recover' hints at a prerequisite but is truncated and gives no actionable direction. There are no exclusions, no mention of alternatives, and no clear context for when this tool should be selected.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It incorrectly claims to block access before correctly stating it resumes access, creating confusion about the actual behavior. It mentions the admin privilege requirement but does not disclose side effects, reversibility, or return value details beyond a generic JSON object.

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 not concise due to the contradictory and unnecessary first line 'Temporarily blocks access to the wallet', which wastes space and misleads. The @param and @return structure is somewhat redundant with the schema and not well integrated.

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

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

Despite having an output schema, the description lacks critical context: it doesn't resolve the contradiction between blocking and resuming, doesn't clarify the exact effect on the wallet, and doesn't mention any prerequisites beyond admin privileges. This is insufficient for a tool with no annotation support.

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

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

The description adds some value to the parameters by stating that api_key must have administrator privileges and that wallet_fk refers to the wallet to resume. However, with 0% schema description coverage, it only provides minimal clarification and does not explain constraints, formats, or additional context beyond the schema.

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

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

The description states 'Resumes access to a paused wallet' which is clear, but the opening line 'Temporarily blocks access to the wallet' directly contradicts the intended action and the tool name. This makes the purpose confusing and potentially misleading for an agent.

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

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

The description clearly implies when to use the tool (when a wallet is paused and needs to be resumed) and specifies a prerequisite (api_key with administrator privileges). However, it doesn't explicitly exclude other use cases or compare with sibling tools like access_pause or access_recover.

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

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

With no annotations provided, the description must fully disclose behavior. It only states the action and PIN format, but omits critical mutation details such as permission requirements, side effects (e.g., invalidating sessions), error behavior, or reversibility.

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 opening sentence is duplicated verbatim, which is unnecessary waste. Parameter documentation is useful, but the repetition and a typo ('but be' instead of 'must be') reduce the overall conciseness and polish.

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 the purpose, parameters, and return type, but with empty annotations and no output schema details it lacks context on error handling, security requirements, or behavioral outcomes. It is minimally adequate but not comprehensive.

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

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

Schema description coverage is 0%, so the description must compensate. It does this effectively by documenting all four parameters, including their source (api_key, token, wallet_fk) and the format for new_pin, adding meaning beyond the raw 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?

Description states a specific action ('Changes the wallet PIN') with a clear constraint ('must be 5 digits'), making the purpose unambiguous. This clearly distinguishes it from other access-related tools like pause or login.

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 useful context by noting that token and wallet_fk come from /access/login, implying a prerequisite. However, it does not explicitly state when to use this tool versus alternatives, nor provide exclusions or alternative tool recommendations.

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

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

With no annotations provided, the description must carry the burden. It states 'public information' and '@return: a json object', giving some safety context. However, it does not disclose whether authentication is required, potential errors, or rate limits, leaving gaps in behavioral understanding.

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

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

The description is a single sentence, front-loaded with the action, and includes the return type. Every word is meaningful and there is 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?

The tool is simple with one parameter and an output schema, so the description covers the core purpose. However, it lacks usage context and parameter details, and despite the output schema existing, the description does not leverage or summarize it, leaving the overall completeness moderate.

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 description coverage is 0%, and the description only repeats the parameter name 'account_fk' without explaining its meaning, format, or source. For a single critical parameter, more elaboration is needed for an agent to know how to populate it.

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

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

The description clearly states that the tool returns public account information (address, commodity, currency, type) for a given account_fk. It is specific and not a tautology, but does not explicitly differentiate from the similar sibling tool netfluid__account_info.

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 netfluid__account_info, netfluid__account_address, or others. The description only states what it does, not when it should be preferred.

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

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

Annotations are empty, so the description carries the full burden of behavioral disclosure. It implies a read-only validation operation but does not mention error handling, side effects, authentication requirements, or response structure beyond a minimal '@return' tag.

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 the core action front-loaded and the parenthetical clarification adding value without repetition. Every word contributes to understanding 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?

For a simple validation tool with one parameter, the description covers the essential purpose and parameter disambiguation. However, without annotations, it lacks details on authentication, error behavior, and the exact response format, leaving some gaps for the agent to handle.

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 provides no description for the single 'account_address' parameter. The description adds the critical clarification that it is a Netfluid account address and not a blockchain address, which is useful. However, it does not provide format, length, or examples, leaving some 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 uses specific verbs 'validates and verifies' with a clear resource 'Netfluid account address' and explicitly distinguishes it from a blockchain address, making the tool's purpose unambiguous and differentiating it from crypto-related sibling tools.

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

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

No explicit usage context or alternatives are provided. The purpose is clear enough to infer when to use it, but it does not state when not to use it or mention alternative validation tools, leaving the agent to rely on the name and description.

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

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

The description discloses that this is a mutation ('Sets') and that confirmation is required before execution. It also provides important constraints (account_fk cannot be 0, alias should be unique). However, with no annotations, the description still omits critical behavioral details such as whether an existing alias is overwritten, if changes are reversible, or what errors might occur, limiting 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 somewhat repetitive: the first line 'Sets a friendly name/alias on an account' is nearly duplicated in the second line 'Sets a friendly name/alias on an account_fk.' The @param blocks are useful but could be better integrated. The redundancy makes it less concise than it could be.

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 all four parameters and includes a return note (`@return: a json object`), which is sufficient given the presence of an output schema. However, it lacks details on side effects (e.g., overwriting behavior), error conditions, or valid alias constraints, leaving the tool not fully specified 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?

The description provides rich parameter explanations beyond the schema: api_key is the application key, token is from /access/login, account_fk is explicitly noted as a database ID not an address and cannot be 0, and alias encourages uniqueness. Since schema description coverage is 0%, this detailed guidance fully compensates and adds meaningful context.

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

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

The description clearly states the tool's function with a specific verb and resource: 'Sets a friendly name/alias on an account.' This unambiguously identifies the purpose and distinguishes it from sibling tools like account_address or account_info, which handle different account attributes.

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 (when you need to set a friendly alias on an account) and includes a procedural note to confirm before executing. However, it does not explicitly discuss alternatives or when not to use this tool, so guidance is present but not thorough.

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

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

With no annotations provided, the description carries the full burden. It discloses a confirmation requirement before execution, clarifies that account_fk is a database ID not an address and may not be 0, and notes that it returns a JSON object. These are meaningful behavioral details beyond the schema, though it does not elaborate on side effects like balance deduction or failure conditions.

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 main description 'Purchases a digital asset from the account's FIAT balance' is repeated verbatim twice, and the confirmation note is awkwardly embedded in the first sentence. The @param block is standard but the redundancy wastes space and reduces clarity.

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

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

For a financial mutation with no annotations, the description provides the core action and confirmation requirement but omits prerequisites (e.g., sufficient FIAT balance), error/edge cases, and fee implications. The output schema exists, so return details are not needed, but the overall operational context is thin.

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

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

Schema description coverage is 0%, so the description must compensate. It does document all four parameters, including a valuable clarification for account_fk (database ID, not address, cannot be 0). However, descriptions are brief and lack specifics such as where to obtain digital_asset_fk or the format of api_key. The compensation is partial.

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 'Purchases a digital asset from the account's FIAT balance' with a specific verb and resource, and it is distinguishable from sibling tools like account_sell, account_swap, and account_buy_telco. The purpose 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?

The description provides clear context for the tool's intended use (buying digital assets with fiat) and includes an explicit procedural instruction 'Confirm (yes/no) before executing'. However, it does not mention alternatives or when not to use this tool, making it contextually clear but lacking exclusions.

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

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

With empty annotations, the description must carry behavioral transparency. It discloses the confirmation step ('Confirm (yes/no) before executing') and the conversion mechanism, which are genuine behavioral traits. However, it omits irreversibility, error conditions, and permission details beyond the token parameter, limiting the depth of 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 opening sentence is duplicated verbatim, wasting words and detracting from conciseness. The @param block is well-structured and readable, and the content is front-loaded, but the redundancy is a clear quality issue that prevents a higher score.

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 the tool's purpose, all five parameters, the confirmation behavior, and hints at a JSON return. Since an output schema exists, omitting detailed return descriptions is acceptable. It lacks explicit alternative tool comparisons and failure behavior, but for a straightforward action with well-documented parameters, it is largely 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?

Schema description coverage is 0%, so the description's @param lines are critical. All five parameters receive meaningful descriptions, including the important caveat that account_fk is a database ID integer not an account address and may not be 0, plus the precision requirement for amount ('2 decimals'). This fully compensates for the schema's lack of explanations.

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 'Purchases airtime by converting currency to minutes and seconds', which is a specific and detailed verb+resource+method statement. The term 'airtime' clearly distinguishes it from siblings like netfluid__account_buy, and the conversion detail adds precision. Even with a null title, the description effectively conveys the tool's 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?

The description implies usage for buying airtime through its explicit purpose statement, but it provides no explicit guidance on when to choose this over related tools such as netfluid__account_buy, netfluid__telco_bundles, or netfluid__account_charge. No alternatives or exclusions are named, leaving selection partly to inference.

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

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

With no annotations, the description carries the full burden. It discloses the need for PIN and the confirmation step, but it is ambiguous whether 'Confirm (yes/no) before executing' is a tool behavior or an instruction to the agent. It lacks details on side effects, reversibility, or error conditions, which is important for a financial mutation.

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 repeats 'Charges the account based on a presented QR-code or NFC card' twice in the opening, which is redundant. The @param block is structured and efficient, but the duplicated opening wastes space and could confuse. Not terrible, but not clean.

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, prerequisites, parameter meanings, and states '@return: a json object'. However, it does not explain what the JSON contains, error cases, or idempotency. The ambiguous confirmation step and lack of edge-case context leave gaps for a financial transaction tool with no annotation support.

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 0% description coverage, but the description compensates fully with detailed @param explanations. It clarifies that account_fk is a database ID (not an address) and may not be 0, describes token as the wallet_api_token from /access/login, and specifies that pin belongs to the account_address being charged. All 7 parameters receive meaningful semantic annotation.

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: 'Charges the account based on a presented QR-code or NFC card.' This is a specific verb ('Charges') and resource ('the account') with a distinguishing mechanism (QR-code/NFC card). It differentiates from siblings like account_send or account_pay by the presentation method.

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

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

Provides explicit guidance: 'Confirm (yes/no) before executing' instructs the agent to seek user confirmation, and 'The payer must present a valid PIN' sets a required prerequisite. While it doesn't explicitly mention alternatives or exclusions, the context of QR/NFC charging and the PIN requirement offer clear usage boundaries.

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 empty annotations, the description carries the burden of behavioral disclosure. The verb 'Returns' implies a read operation, and the clarification that account_fk is a database ID (not an address) and may not be 0 is useful. However, it does not explicitly state whether the operation is side-effect-free or describe error behavior, leaving some ambiguity.

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

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

The opening two sentences repeat essentially the same information ('Returns detailed account information' vs 'Returns detailed account information and balances'), which is redundant. The @param section is well-structured, but the redundancy detracts from 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?

For a simple info tool with an output schema, the description adequately covers all inputs with provenance, clarifies a potential pitfall (account_fk as int not string), and states the return type. It is slightly incomplete in not addressing error conditions or explicitly confirming a read-only nature, but overall it 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?

Schema description coverage is 0%, and the description compensates fully by explaining all three parameters: what they are, where to obtain them, and the constraint on account_fk. This exceeds the baseline and provides actionable detail.

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

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

The description clearly states the tool 'Returns detailed account information and balances,' identifying it as the account info/read tool among siblings like account_send or account_buy. However, 'detailed account information' is somewhat vague, and the first two sentences are redundant.

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 implicit usage guidance by documenting where to obtain token and account_fk (from /access/login and /wallet/accounts_list), suggesting a workflow order. But it does not explicitly state when to use this tool over alternatives or provide 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 that this is a financial withdrawal ('Performs a FIAT withdraw') and adds a balance-type constraint, which is useful behavioral context. However, with empty annotations, it does not describe side effects (e.g., balance deduction), reversibility, permission requirements, or failure behavior, leaving significant gaps for a money-moving tool.

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

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

The description is compact and front-loaded with purpose. The @param sections are structured and each line adds value, such as clarifying the account_fk type. Minor verbosity exists in the parenthetical account_fk explanation, but it is necessary for correctness. 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 4-parameter financial tool with empty annotations, the description covers the basics: purpose, key parameter semantics, and a scope constraint. However, it lacks usage guidance, amount units, and any mention of error conditions or postconditions. An output schema exists, so return value details are not required, but the missing usage context and ambiguous amount keep it from being fully 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?

Schema coverage is 0%, so the description must compensate. The @param blocks provide valuable meaning: api_key is 'allocated to your application', token comes from '/access/login', and account_fk is clarified as a database ID (int) not an address and non-zero. The amount parameter is only described as 'amount to issue for', lacking units or currency context, but overall the parameter guidance is strong.

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: 'Issues a Netfluid voucher' and 'Performs a FIAT withdraw'. It also specifies scope ('Only applicable on FIAT balances'), which distinguishes it from sibling tools like netfluid__account_merchant_voucher_quote and netfluid__account_merchant_voucher_redeem.

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 constraint 'Only applicable on FIAT balances' provides a condition but does not compare this tool to other financial actions like account_charge, account_send, or withdraw_to_bank, nor does it mention exclusions or prerequisites beyond FIAT balance.

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

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

With no annotations, the description must disclose side effects; it describes the return fields but does not explicitly state that no voucher is issued or that it is a read-only quote. It gives some useful context about the account_fk type but lacks error 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 first sentence is redundant with the 'STEP 1' sentence, creating repetition. The @param and @return structure is clear, but the opening two lines could be merged.

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 prerequisite to issuance, but the description doesn't connect to the issue sibling. Parameter details are strong, but usage guidance and side-effect disclosure are missing, leaving the agent to infer the workflow.

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?

Description provides @param explanations for all four required parameters, including the nuance that account_fk is a DB ID not an address, and amount precision. This fully compensates for the schema's 0% property descriptions.

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

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

The description clearly states a quote operation for merchant voucher issuance, mentioning return of commission and customer amount. This distinguishes it from the sibling 'issue' and 'redeem' voucher 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?

The 'STEP 1' framing implies it is a prerequisite for issuing a voucher, but no explicit alternatives or exclusions are given. It does not name the issue tool or state when not to use it.

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

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

Annotations are empty, so the description carries the full burden of behavioral disclosure. It states the action 'redeems' but does not mention side effects, irreversibility, voucher consumption, or potential failure conditions. The note about account_fk being a database ID and not 0 is a parameter constraint, not a behavioral trait, and the @return simply says 'a json object' without specifics.

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 sized and well-structured: one sentence for purpose, followed by a clean @param block, and a short @return header. Every sentence adds value, with no redundant fluff or repetition of schema 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 moderate complexity (4 params, no annotations, but an output schema exists), the description covers the essential input semantics and authentication origins. It lacks some behavioral expectations (e.g., whether the voucher is consumed, if redemption is permanent), but the output schema mitigates the need to explain return structure, making this fairly 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?

All four parameters are explained beyond the schema: api_key is described as application-scoped, token is tied to /access/login, account_fk is clarified as a database ID with a non-zero constraint, and voucher_code gets a format example. This fully compensates for the 0% schema description coverage.

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

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

The description opens with 'Redeems a Netfluid voucher,' which is a specific verb+resource statement. It clearly distinguishes this tool from sibling tools like voucher issue or check, and the parameter details reinforce the redemption 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 implies usage context through required authentication tokens (api_key and token from /access/login) and the target account_fk, but it does not explicitly state when to use this tool versus alternatives such as netfluid_netfluid_voucher_check or netfluid__account_merchant_voucher_issue. No exclusions or conditions are provided, leaving usage guidance mostly 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?

With no annotations, the description carries the burden of disclosing behavior. It does mention costs and asynchronous minting, which is valuable. However, it leaves 'Confirm (yes/no)' ambiguous—there is no corresponding parameter in the schema—and does not explain side effects, reversibility, or what the returned JSON contains. It is a moderate disclosure but incomplete.

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 somewhat concise but contains a redundant first sentence repeated almost verbatim twice. The structure with @param lines is clear, but the duplication wastes space and adds no value. The 'Confirm (yes/no)' line is also not well-integrated, making the beginning clunky.

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 5 parameters, an output schema, and no annotations. The description covers costs and async, but omits important operational details such as how confirmation is performed, possible errors, and what the JSON return actually contains. The output schema exists but cannot be seen by the agent from the description alone; the '@return: a json object' is insufficient. Overall, it is not fully complete for an operation of this complexity.

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

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

Schema description coverage is 0%, so the @param lines in the description are the only source of parameter meaning. They add context for all five parameters: source of api_key, token, wallet_fk, account_type_fk (with reference to /account/types and default 7), and currency_fk (with reference to /currency/list and default 7). This fully compensates for the absent schema descriptions and gives the agent actionable 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 states a specific action: "Mints a new account of an account type into the wallet." The verb "mint" is unique among sibling tools and distinguishes this from other account operations like buy, sell, send, or charge. It also specifies the resource (account) and target (wallet).

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

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

No explicit guidance is given on when to use this tool instead of alternatives. It mentions costs and asynchronous behavior but does not compare with other account creation or wallet-related tools. The phrase 'Confirm (yes/no) before executing' hints at a usage step but is not elaborated and does not clarify 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?

The description is the sole source of behavioral information since annotations are empty. It discloses that the tool assigns a PIN and requires confirmation, but it does not mention whether the PIN overwrites existing ones, whether the operation is reversible, or any side effects. This is a significant gap for a mutation tool.

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

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

The description contains redundancy: the first sentence is repeated almost verbatim after the 'Confirm (yes/no)' line. This duplication adds no value and makes the description feel bloated. The parameter documentation is structured well, but the overall structure suffers from the 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 parameter documentation is strong and an output schema exists, so return values are covered. However, the description lacks usage guidance and behavioral depth (e.g., prerequisites beyond token, effects, confirmation flow). It is adequate for understanding what the tool does but not fully complete for confident invocation in all contexts.

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

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

The description thoroughly explains each parameter beyond the schema, providing sources, formats, and examples (e.g., 'api_key: The api key allocated to your application', 'pin: The 5 digit numeric PIN e.g 01234', 'expire_date: optional, format YYYY-MM-DD HH:MM:SS, in GMT timezone'). With zero schema description coverage, this fully compensates.

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: 'Assigns a PIN to an account for use by a QR-Code or NFC card.' This is a specific verb+resource combination and mentions the scoped use case (QR/NFC), which distinguishes it from sibling tools like netfluid__access_wallet_pin_change that likely handle PIN changes.

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 explicit guidance on when to use this tool versus alternatives. It does mention confirm (yes/no) before executing, which is a caution, but it doesn't elaborate on prerequisites or exclusion scenarios. The parameters are documented, but the description lacks clear 'use this when' or 'instead of that' 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 empty annotations, the description carries the full burden and does well: it discloses the temporary restriction, admin-only undo, and the lock parameter's effect ('system locked, the customer cannot remove lock'). It also instructs a confirmation step. Some edge cases (e.g., in-flight transactions) are not mentioned, but the essential behavioral traits are covered.

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 structured with @param sections but suffers from verbatim duplication of the first sentence ('Temporarily restricts an account...') appearing twice. The @return line is generic and adds little value. It is not overly long but the redundancy and unnecessary repetition reduce 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?

The description covers purpose, warnings, side effects, and all parameters thoroughly. Given the presence of an output schema, the generic '@return: a json object' is not a major issue. It lacks explicit reference to alternative tools, but for a sensitive mutation tool with no annotations, the description is quite complete and actionable.

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 @param block adds significant meaning beyond the raw schema (which has 0% description coverage). It explains where to obtain the token ('provided by /access/login'), clarifies account_fk as a database ID and not an account address, and details the lock parameter's behavior. All four parameters receive useful semantic context.

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

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

The description clearly states the tool's action: 'Temporarily restricts an account from performing any function that would result in funds existing the account' (despite the typo 'existing' for 'exiting'). It also adds important context like admin-only undo. However, it does not explicitly differentiate from sibling tools such as netfluid__access_pause or netfluid__account_resume, though the account-focused scope is implied.

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 strong usage guidance: 'warn before using! Confirm (yes/no) before executing' and 'Can only be undone by an administrator' clearly indicate when and how to use the tool with caution. It does not explicitly name alternatives like account_resume or account_unlock, but the warning and context cover the key usage considerations.

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 bears the transparency burden. It discloses that the tool debits a transaction fee and explicitly warns to confirm before executing, which is meaningful behavioral context. But it does not mention reversibility, balance requirements, permission prerequisites, or failure behavior, leaving gaps for a financial mutation tool.

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

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

The description is structured with clear @param sections and is mostly efficient, but the sentence 'Charges the account a transaction fee' is repeated verbatim, adding no new information. The confirmation instruction also appears once, but the duplication makes it less concise than it could be.

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 5-parameter financial mutation with no annotations, the description covers the core purpose, confirmation requirement, all parameters, and return type, while the output schema supplies return shape. However, it lacks guidance on when to use this tool versus sibling payment/account tools and omits side effects or prerequisites beyond auth tokens, so some context is still missing.

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

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

The description thoroughly documents every parameter via @param lines, adding meaning beyond the bare schema. It clarifies that api_key is application-allocated, token comes from /access/login, account_fk is a database ID (not an address) and may not be 0, amount is the charge amount, and note is optional. Since schema coverage is 0%, this description is essential and highly effective.

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 action with a specific verb ('Charges') and resource ('the account') and the nature of the charge ('a transaction fee'). However, it does not explicitly distinguish this from sibling tools like account_charge or account_send, so it stops short of full 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?

The description provides one concrete usage instruction: 'Confirm (yes/no) before executing,' which tells the agent to get user confirmation before calling the tool. However, it gives no guidance on when to prefer this tool over alternatives like account_charge or account_buy, and no exclusion conditions 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 no annotations provided, the description carries the full burden of behavioral disclosure. It discloses that the action can only be undone by an administrator and that confirmation should be obtained before executing, which are important behavioral traits beyond a simple state-change description.

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

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

The main purpose statement is duplicated verbatim, adding unnecessary repetition. The rest of the description is concise and well-structured with parameter documentation, but the duplication detracts from overall 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?

The description covers purpose, key behavioral caveats, and detailed parameter semantics. An output schema exists, so the lack of return detail is acceptable. However, it does not state whether the caller needs specific permissions or whether the account must belong to the authenticated user, leaving a minor 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?

All three parameters are thoroughly documented via @param lines in the description. The account_fk explanation explicitly warns that it is a database ID, not an account address, and must not be 0, which is critical for correct use. Since the schema itself lacks descriptions, this fully compensates.

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 resumes full trading capability for a previously paused account. The verb 'resumes' and the specific resource (account trading capability) distinguish it from sibling tools like access_resume or webhook_resume.

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 states the precondition that the account must have been previously paused, and explicitly instructs to confirm before executing, which is an actionable usage guideline. However, it does not explicitly name alternatives or exclusions, leaving some room for interpretation.

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

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

With no annotations, the description carries the full burden. It discloses that confirmation is required before executing and that proceeds land in FIAT balance. However, it does not mention fees, minimums, reversibility, or how confirmation is supplied, leaving significant behavioral aspects opaque.

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

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

The purpose sentence is duplicated verbatim, wasting space and indicating poor editing. The structure mixes a repeated opening with param docs, but the redundancy and lack of formatting reduce clarity and efficiency.

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 financial transaction with 5 required params and no annotation support, yet the description only says '@return: a json object' and doesn't explain confirmation flow, error cases, or fee implications. Sibling tools like account_buy and account_swap suggest a family of trading actions, but the description lacks enough context to fully grasp what to expect when invoking 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?

Schema descriptions cover 0% of parameters, so the @param lines are the only source of meaning. They provide basic definitions for all five params, and account_fk gets a critical clarification (database ID not address, cannot be 0). Other params like amount lack unit specificity, and token/api_key are only lightly described.

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

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

The description states a specific verb ('sells') and resource ('digital asset'), with a clear outcome ('returns proceeds to FIAT balance'). This distinguishes it from sibling tools like account_buy and account_swap, and the confirmation note adds operational 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 given on when to use this tool versus alternatives such as account_buy or account_swap. The description implies a selling use case but doesn't state prerequisites, exclusions, or scenario-specific guidance. The 'Confirm (yes/no)' note is procedural, not usage 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 annotations, the description carries the full burden. It discloses the confirmation step, currency conversion, and optional beneficiary saving, but does not mention potential fees, reversibility, or required permissions beyond the auth params. For a FIAT transfer tool, this leaves notable 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 redundant: 'Sends FIAT from this account to another Netfluid account' and 'Sends FIAT from this account to an account address' appear in two consecutive paragraphs, and 'Optionally save as a beneficiary' is repeated. The parameter block is useful but could be tightened. The repetition wastes space and harms readability.

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 complex financial tool with 8 parameters and no annotations, the description covers key aspects: confirmation, currency conversion, cross-wallet operation, and the account_fk vs address distinction. It does not explain fees, error handling, or exact return structure, but the presence of an output schema and the detailed parameter docs make it 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 description provides exceptional parameter documentation despite 0% schema description coverage. It clarifies critical nuances: account_fk is an int database ID (not an address), destination is a user-readable address, save is a boolean 0/1, and name only applies if save=1. This fully compensates for the schema's lack of descriptions.

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 'Sends FIAT from this account to another Netfluid account' and adds 'This function can send FIAT across wallets', which helps distinguish it from similar money-movement tools. It does not explicitly name alternative tools, but the verb+resource+scope is specific and 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?

The description includes a usage-critical instruction: 'Confirm (yes/no) before executing', and explains currency conversion and cross-wallet capabilities. However, it does not explicitly say when to use this tool versus alternatives (e.g., account_wire, account_pay), nor any exclusions or prerequisites beyond authentication parameters.

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 fully discloses key behaviors: it charges the account, requires confirmation, has limited delivery destinations, and requires admin privileges. It also warns that delivery is not guaranteed.

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 contains redundancy: the first sentence and the second sentence after the blank line both state 'Sends a SMS and charges this account.' This duplication adds unnecessary length, though the @param section is 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?

The description covers auth requirements, destination restrictions, cost model, delivery guarantee, confirmation step, and parameter caveats. With an output schema present, the vague '@return: a json object' is acceptable, making this a well-rounded 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 description gives detailed @param explanations for all five parameters, including api_key admin requirement, account_fk being an integer DB ID, mobile format (e164 without +), and message being charged per 160 characters. This fully compensates for the input schema lacking descriptions.

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 'Sends a Mobile SMS and charges this account' with specific destination restrictions. This distinguishes it from siblings like netfluid__send_email or netfluid__push_message_send, making the purpose unambiguous.

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

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

It provides clear context for when to use: limited to specific countries, delivery not guaranteed, and charged per submission. However, it doesn't explicitly mention alternatives or exclusions, so it falls short of the highest rating.

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 full burden. It discloses important behaviors: default max_rows=1000, default start_date=60 days, date format and GMT timezone, and a strict constraint on account_fk (int, not zero, not address). It doesn't explicitly say read-only but 'Returns' implies it, and auth is covered by required params.

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 opening sentences are slightly redundant ('Returns detailed account FIAT statement' and 'Returns detailed account statement...'), but the parameter documentation is thorough and well-structured. Overall it is compact and front-loaded for a 5-parameter 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?

With an output schema present and no enums, the description covers all necessary invocation details: parameter purposes, defaults, date format, timezone, and constraints. It provides sufficient context for an agent to select and use this tool correctly without 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?

Despite 0% schema coverage, the description provides detailed @param explanations for all 5 parameters, including the account_fk warning (database ID, not address, not zero), max_rows default (1000), and start_date format/default/timezone. This fully compensates 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?

Clearly states 'Returns detailed account FIAT statement' with a specific verb and resource, and distinctively mentions FIAT and date-range parameters. This differentiates it from sibling account_* 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?

The description implies usage for retrieving account statement history but does not explicitly state when to use this tool vs alternatives or provide exclusions. It gives clear functionality but lacks explicit guidance on when not to use it.

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

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

With empty annotations, the description carries the full burden. It discloses a confirmation step ('Confirm (yes/no) before executing') and the FIAT=0 convention, which adds useful behavioral context. However, it does not explain what the confirmation flow entails, whether the operation is irreversible, or what side effects occur on balances—leaving some behavioral ambiguity.

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

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

The opening sentence is repeated almost verbatim: 'Swaps one digital asset for another on an account level' appears twice. This redundancy wastes space and could confuse. The @param block is structured and useful, but the duplication in the main description prevents a higher score.

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 parameter meanings and a key convention (fiat=0), but leaves gaps: the confirmation mechanism is only mentioned as 'yes/no before executing' without explaining how the agent receives or answers this prompt, and the return value is vaguely described as 'a json object' despite an output schema existing. For a financial swap tool, this is adequate but not fully 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?

Schema description coverage is 0%, so the @param lines are essential. The description explains all 7 parameters, with valuable clarifications like account_fk being a DB ID (not an address) and not zero, and the FIAT=0 convention for digital_asset_fk/to_digital_asset_fk. Some descriptions are tautological ('The digital_asset_fk to swap'), but overall the description compensates well for the lack of schema descriptions.

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: 'Swaps one digital asset for another on an account level.' This provides a specific verb ('swaps') and resource ('digital asset' at account level), differentiating it from siblings like crypto_dex_swap or account_buy. The FIAT convention (fk=0) adds precision.

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 explicit guidance on when to use this tool versus alternatives (e.g., crypto_swap, account_buy, account_sell). The only contextual hint is 'on an account level,' but no exclusions or alternative tool names are mentioned. The confirmation note and FIAT tip are parameter-level guidance, not tool-selection guidance.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. The verb 'Lists' and 'static information' imply a read-only operation, but the description does not disclose potential side effects, auth requirements (beyond the api_key parameter), rate limits, or error scenarios. It adds a small amount of context about the nature of the data, but lacks depth for a tool with zero annotation support.

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 contains redundancy: 'Lists all account types, typically static information' followed by 'Lists all account types' repeats the main verb phrase. The @param and @return lines are useful, but the duplication detracts from conciseness. It is not egregiously long, but could be tighter.

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 an output schema present, the description provides minimal context about what account types are, when to use it, or what the JSON output looks like (though the output schema itself may cover this). The absence of any usage guidance and behavioral detail leaves the agent with an incomplete picture, but the core function is clear. It is adequate but not comprehensive.

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

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

Schema description coverage is 0%, but the description compensates with an explicit @param api_key line: 'The api key allocated to your application'. This gives meaning to the parameter, though it could be more detailed (e.g., where to obtain the key). The description adds sufficient value beyond the bare 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 'Lists all account types' and adds 'typically static information' as useful context. However, it is redundant by repeating 'Lists all account types' twice and does not explicitly distinguish this from sibling list tools like currency_types or commodity_types.

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 merely states it lists account types, with no mention of when it is appropriate or when other tools like account_info might be preferred. The hint 'typically static information' is too vague to serve as usage 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 empty annotations, the description carries the full burden for behavioral transparency. It discloses a key behavior: the tool requires confirmation before execution ('Confirm (yes/no) before executing'). It also mentions the admin privilege requirement for api_key and clarifies that account_fk is a database ID, not an address. While it does not mention error cases or reversibility, it provides meaningful behavioral context beyond the raw schema.

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 mostly concise and front-loaded, but it has a clear redundancy: the opening sentence 'Unlocks a locked account' is repeated verbatim in the second line. Removing the repetition would tighten it. The parameter docs are well-organized and useful, so the structure is still efficient overall.

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 3-parameter tool with an output schema (not shown), the description covers purpose, usage prerequisites, parameter semantics, and return type ('a json object'). It does not address edge cases like what happens if the account is already unlocked or whether the operation is reversible, but given the output schema and the detailed param docs, the description is sufficiently complete for an agent to select and invoke the tool correctly.

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

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

Schema description coverage is 0%, so the description fully compensates. Each parameter is explained: api_key requires admin privileges, token is obtained from /access/login, and account_fk is explicitly clarified as an integer database ID (not a string address) and may not be 0, with a source endpoint (/wallet/accounts_list). This goes well beyond the schema's bare type declarations.

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 purpose with a specific verb ('Unlocks'), resource ('a locked account'), and the exact state transition ('from status_fk=10 to status_fk=1'). This distinguishes it from sibling tools like account_resume or access_resume, which operate on different states. The repetition of 'Unlocks a locked account' reinforces the purpose 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?

The description implies the tool is for locked accounts via the status_fk transition, and it states prerequisites (admin privileges) and a required confirmation step ('Confirm (yes/no) before executing'). However, it does not explicitly name alternatives or specify when not to use this tool versus related resume/pause tools, so guidance is implied rather than explicit.

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

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

With no annotations, the description carries the full burden. It discloses important behaviors: FIAT conversion by the system, a confirmation step (yes/no), and the blockchain association requirement. It does not mention irreversibility, fees, permissions, or 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 somewhat redundant, repeating the first sentence almost verbatim. However, it is reasonably concise overall and uses a clear @param structure. The redundancy wastes a little space but doesn't severely hurt readability.

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 moderate complexity with conversion and confirmation, and an output schema exists so return values are covered elsewhere. The description addresses key constraints but omits details like auth requirements, error handling, and post-confirmation behavior, leaving gaps for a complete understanding.

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?

Despite 0% schema description coverage, the description's @param lines provide valuable semantics: clarifying account_fk as a database ID not an address and may not be 0, explaining digital_asset_fk uses 0 for FIAT, and describing each parameter's purpose. This fully compensates for the schema's lack of descriptions.

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: sending FIAT or digital assets from an account to a blockchain address, with the verb 'sends' and specific resource/destination. It distinguishes from some siblings by mentioning blockchain address and FIAT conversion, but doesn't explicitly differentiate from similar tools like account_send or account_pay.

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 transferring funds to a blockchain address and includes a key prerequisite (FIAT account must be associated with the same blockchain as the destination). However, it does not explicitly state when to use this tool over alternatives or mention 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?

With no annotations, the description carries the full burden of behavioral disclosure. It only lists parameters and says 'a json object' is returned. It does not explain side effects, error behavior, rate limits, or whether calling this tool consumes quota or affects the wallet linked by wallet_fk.

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, using a JSDoc-like format with clear param annotations and a return comment. Every line contributes essential information without filler, making it easy to scan.

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

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

Despite having an output schema (per context signals), the description only says 'a json object' without detailing the response structure. It lacks context on why these authentication parameters are required, what the Gemini prompt does, and how wallet_fk is used, making it incomplete for reliable 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 description provides a line for each parameter, but explanations are minimal and somewhat tautological (e.g., 'The string prompt' for prompt, 'The api key allocated to your application' for api_key). It does not clarify how to obtain the token or wallet_fk beyond referencing /access/login, leaving ambiguity about their exact purpose.

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

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

The description states 'Performs a Gemini AI prompt' which indicates the tool interacts with a Gemini AI model, but the verb 'performs' is vague and doesn't specify the action (e.g., send, generate, ask). It is not a tautology but lacks precision and does not clarify what the result represents.

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 does not mention any prerequisites, exclusions, or typical scenarios, leaving the agent to infer appropriate usage solely from the tool name and basic description.

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

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

With no annotations, the description carries the full burden and does well, disclosing the KYC sponsorship requirement, automatic Solana wallet minting, access to virtual bank accounts, legal responsibility, and the 30-second processing delay. It doesn't cover reversibility or possible errors, but for a signup tool it is quite transparent.

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 longer than typical but well-structured, starting with the purpose and then providing detailed parameter info. Each sentence adds useful information, though some introductory text could be tightened without losing meaning.

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

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

For a complex tool with 7 parameters and an output schema, the description is nearly complete. It covers the purpose, process, prerequisites, parameter semantics, and returns. The exact JSON structure is left to the output schema, which is appropriate.

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

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

Although the schema itself has no descriptions (0% coverage), the description's @param lines fully explain each parameter, including format, constraints, and suggestions. For example, secret must be minimum 8 characters and unique, mobile must be in e164 format, and currency_fk maps 7 to ZAR and 3 to USD. This well exceeds what the schema provides.

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 that this tool performs an automated signup for autonomous agents, creating a wallet for Agentic AI payments. It is specific about the resource and purpose, and distinguishes itself from most siblings by focusing on agent wallets, though it doesn't explicitly name the similar sibling `netfluid__automated_signup`.

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 clear context on when to use: when an agent needs an autonomous wallet, it must be created by a human KYCed wallet. It also mentions the process duration and that the agent must save wallet_fk and PIN. However, it doesn't explicitly state when not to use or name 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 are empty, so the description carries the burden. It discloses the up-to-30-second process and the KYC redirect behavior, which adds context. However, it does not mention required permissions, potential side effects beyond signup, or what happens on failure, leaving gaps in behavioral 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 well-organized with an overview followed by @param blocks, making it easy to parse. The first two sentences are somewhat redundant ('Automated signup for new customers' repeated), but the structure remains clear and front-loaded with 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 description covers the signup process, timing, KYC next steps, and parameter semantics thoroughly. With an output schema present, the return value does not need detailing. Minor gaps like error handling and account-creation specifics keep it from a 5, but overall it is complete for an 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?

Schema coverage is 0%, and the description fully compensates. It provides detailed instructions for every parameter: secret (min 8 chars, uniqueness, suggestion), pin (5 digits), mobile (e164 format), currency_fk (ZAR/USD mapping), and email. This is exemplary parameter documentation.

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

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

The description clearly states 'Automated signup for new customers' and specifies this is the preferred method for human customers, distinguishing it from potential agent signup tools. The verb 'signup' and resource 'customers' are specific and 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?

The description explicitly says 'AI should use this tool as the preferred method to signup human customers' and provides after-completion steps (direct to KYC URL, call wallet_kyc_session_create if more tries needed). It does not explicitly name the agent-signup alternative, but 'human customers' clearly implies the boundary.

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

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

With no annotations, the description carries the full burden of behavioral disclosure. It conveys the read-only nature through 'Lists' and explains constraints like wallet_fk may not be 0 and account_fk is a database ID, not an address. However, it does not mention pagination, error conditions, or auth requirements beyond the token source, which is a minor gap for a list 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 first sentence 'Lists all beneficiaries on this wallet or on this account' is repeated verbatim, which is redundant and wastes space. The @param structure is clear, but the duplicate opening sentence prevents a higher score.

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

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

Given that an output schema exists, the description covers the essential behavioral and parameter semantics needed for a list operation. It includes token origin, parameter constraints, and scoping rules. Missing minor details like error handling, but for this complexity it is sufficiently 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?

Schema description coverage is 0%, but the description compensates fully by explaining each parameter's source and purpose. It adds critical nuance absent from the schema, such as account_fk being a database ID (not an address) and that setting it to 0 returns wallet-associated beneficiaries. This goes well beyond the bare 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 with a specific verb ('Lists') and resource ('beneficiaries'), and it distinguishes scope (wallet or account). It is easily distinguished from sibling tools like beneficiary_add/remove as the read operation, despite the tool name making this obvious.

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 clear context for when to use the tool: to list beneficiaries on a wallet or account. It gives detailed parameter guidance, especially the account_fk=0 case for wallet-level listings, which helps in selecting the right scope. However, it does not explicitly name alternative tools or exclude any use cases, 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 are empty, so the description carries the full burden. It discloses that it creates a beneficiary but does not describe side effects, authorization requirements, reversibility, or any other behavioral traits beyond the creation itself. The @return only says 'a json object' without detail.

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 first sentence is repeated verbatim twice, which is unnecessary and wastes space. The parameter documentation is structured but lengthy; however, given zero schema coverage, it serves a purpose. Overall it is not concise but is front-loaded.

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

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

The tool has 8 required parameters and no annotations, but the description covers parameter semantics well. However, it lacks behavioral context such as when it applies, what the result is, or error conditions. The return value is only described as 'a json object', which is not helpful.

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 descriptions are absent (0% coverage), but the @param docs provide rich meaning for all 8 parameters, including relationships (account_fk may be 0 to make beneficiary wallet-wide), constraints (wallet_fk may not be 0), and types (account_fk is int not string). This fully compensates 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 explicitly states 'Creates a beneficiary on this wallet or on this account', using a specific verb and resource. This clearly distinguishes it from sibling tools like beneficiaries_list and beneficiary_remove. The duplication of the sentence is redundant but does not affect clarity.

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

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

The description does not explicitly mention when to use this tool versus alternatives. It implies usage through the verb 'add' and the context of beneficiary creation, but it never states exclusions or mentions the list/remove sibling tools. Therefore usage is only implicit, not explicit.

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

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

The description contradicts itself on the core action (delete vs create). It does not disclose side effects, idempotency, or safety profile. With empty annotations, the description carries full burden but fails to provide coherent behavioral information.

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

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

The description is short, but the first two lines are redundant and contradictory, wasting space. The @param structure is useful, but the content is confused, and the return description is vague ('a json object').

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

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

Despite having an output schema, the description only says 'a json object', offering no details on the response structure or error behavior. The tool's scope (wallet vs account, deletion semantics) is obscured by contradictions. With four required params and no annotation support, this description is critically 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 @param lines add some meaning beyond the schema, e.g., explaining that account_fk is a database ID not an address, and beneficiary_id comes from /beneficiary/list. However, account_fk is contradictory ('may not be 0' followed by 'may be 0'), and the explanation of 'account on which the beneficiary is set' is unclear. This does not adequately compensate for the 0% schema coverage.

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

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

The description opens with 'Deletes a beneficiary' but the very next line says 'Creates a beneficiary on this wallet or on this account'. These are contradictory actions, making the tool's actual purpose unclear and misleading. No clear differentiation from sibling tools like beneficiary_add.

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 vs alternatives. In fact, the false 'Creates a beneficiary' line actively suggests incorrect usage. No mention of prerequisites or scenarios for removal.

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

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

With no annotations, the description must fully disclose behavior. It does warn about token loss and the need for confirmation, but it contains a critical contradiction: it says 'Only supports USDC transfers' yet lists usdt and eurc as possible currency values. This inconsistency could mislead the agent into sending unsupported tokens, undermining the disclosure of risks. This is a significant transparency flaw.

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 somewhat redundant: 'Creates a blockchain to blockchain bridge' appears twice (lines 1 and 3), wasting a sentence. The structure with @param blocks is clear, but the repetition makes it less concise than it could be. The confirmation instruction is also abruptly placed.

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 the purpose, all parameters, a safety warning, and a confirmation requirement. The output schema exists, so the vague '@return: a json object' is acceptable. However, the currency contradiction and lack of any guidance on when to use this vs. other bridge-related tools leave gaps in the overall context needed 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 schema has 0% description coverage, so the @param lines in the description bear the full burden. All 8 parameters are explained with meaningful details, such as account_fk being a database ID (not an address) and blockchain having enumerated values. However, the currency parameter's listed values conflict with the 'only USDC' statement, reducing the reliability of the parameter documentation.

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

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

The description clearly states the tool's action ('Creates a blockchain to blockchain bridge'), which distinguishes it from sibling bridge tools like bridge_delete or bridge_list. However, the internal contradiction between 'Only supports USDC transfers' and the currency parameter listing 'usdc, usdt, eurc' creates ambiguity about the exact purpose, so it is not a perfect 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 some usage context by instructing 'Confirm (yes/no) before executing' and warning 'Do not send any other tokens as these may be lost.' However, it does not mention when to use this tool versus alternatives like bridge_off_ramp or bridge_on_ramp, nor does it explicitly state when not to use it beyond the token restriction.

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 burden. It adds a key behavioral detail: confirmation is required before executing. It also uses 'deactivates' intentionally, suggesting a soft-delete rather than permanent deletion. However, it does not disclose reversibility, side effects, or permission requirements.

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 opening sentence is front-loaded and clear, but 'Deactivates the Bridge' is repeated verbatim, creating redundancy. The parameter list is well-structured, but the duplicate line could have been omitted.

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 relatively simple, but with no annotations and no schema descriptions, the description should provide more about the consequences of deactivation, such as impact on existing bridge operations or reactivation possibilities. The parameter coverage and confirmation detail are helpful, but behavioral side effects remain unaddressed.

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 0% description coverage, but the description's @param lines fully explain each parameter, including their source (e.g., external_account_id from /bridge/list). This completely compensates for the schema's lack of parameter descriptions.

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 deactivates a Bridge, which is a specific action on a specific resource. It distinguishes itself from sibling tools like bridge_list and bridge_rename by focusing on the deactivation operation.

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

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

The use case is implied: you use this tool to deactivate a bridge. However, there is no explicit guidance on when to choose this over alternatives or any exclusions. The confirmation note is a behavioral trait, not a usage guideline.

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 must carry the behavioral disclosure burden. It adds domain context (bridge types, availability on blockchain accounts) and notes that account_fk cannot be 0. However, it does not explicitly state that this is a read-only operation, nor does it describe side effects, rate limits, or response structure beyond 'a json object'. The information is helpful but incomplete for a fully transparent behavioral profile.

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 contains a duplicated introduction: the first paragraph defines bridge types, then the second paragraph repeats almost the same information ('Returns bridges based on the transfer_type, a bridge is either an on-ramp, an off-ramp or a blockchain. Bridge on-ramps are also called virtual accounts'). This redundancy makes the description unnecessarily long and poorly structured. While the parameter documentation is clear, the overall presentation is not 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?

For a list tool with five parameters and no output schema details, the description is largely complete. It explains bridge types, parameter origins, transfer_type options, and the account_fk constraint. The output schema indicator exists, so not detailing return structure is acceptable. However, redundancy and the lack of explicit alternative tool guidance slightly reduce completeness, so it does not reach 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?

Schema coverage is 0%, but the description compensates thoroughly. Every parameter (@api_key, @token, @wallet_fk, @account_fk, @transfer_type) is explained with provenance (e.g., token from /access/login), constraints (account_fk is a database int and may not be 0), and allowed values (transfer_type lists off-ramp, blockchain, on-ramp with concrete meanings). This goes well beyond the bare schema and fully addresses 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 'Returns bridges based on the transfer_type' with a specific verb and resource. It also defines each bridge type (on-ramp, off-ramp, blockchain), which distinguishes this listing tool from sibling operations like bridge_delete, bridge_rename, or bridge_on_ramp. The name 'bridge_list' plus the detailed explanation leaves no ambiguity about its 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 provides clear context for when to use the tool: it returns bridges filtered by transfer_type. It also supplies important constraints like 'Bridges are only available on blockchain accounts' and explains the meaning of each transfer_type value. However, it does not explicitly mention alternatives or exclusionary guidance compared to other bridge-related tools, so it stops 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?

With no annotations provided, the description must carry the burden of behavioral disclosure. It does disclose a key behavior: 'Confirm (yes/no) before executing,' indicating an interactive confirmation step. It also mentions async defaults for several parameters. However, it does not explain the full execution flow, reversibility, or any side effects beyond creation, 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 front-loaded with a clear first line but immediately repeats the same idea with a typo: 'support both ACH/WIRE bank networks.' This duplication wastes space. The @param list is necessary and well-organized, but the redundant opening sentence and overall length lower the conciseness score.

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 complex tool with 16 params and no annotation support, the description covers nearly all necessary context: parameter meanings, defaults, source of credentials (from /access/login), and confirmation requirement. An output schema exists, so the return format need not be detailed. Missing minor context like error conditions or prerequisites beyond login, but overall it is sufficiently 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?

Schema description coverage is 0%, but the description thoroughly documents all 16 parameters with meaningful details: defaults for alias, destination_rail, currency, and account_type; allowed values for destination_rail and currency; and clarifications such as account_fk being a database ID and routing_number being US routing or UK sort code. This fully compensates for the schema's lack of descriptions.

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

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

The description clearly states a specific action: 'Creates a blockchain to FIAT off-ramp in the USA supporting both ACH/WIRE bank networks.' This distinguishes it from siblings like bridge_off_ramp_sepa and bridge_on_ramp by specifying the exact resource (blockchain-to-FIAT off-ramp) and rails (ACH/WIRE).

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 the tool: for US-based off-ramps supporting ACH/WIRE networks. It does not explicitly name alternatives or exclusion criteria, but the geographic and rail specifics imply the appropriate use case, and the sibling name bridge_off_ramp_sepa reinforces the distinction.

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

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

With no annotations, the description must carry the full burden of behavioral disclosure. It discloses a key behavior: 'Confirm (yes/no) before executing,' and mentions async default for alias. Yet it omits details on permissions, reversibility, or side effects beyond creation, so the transparency is only partial.

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

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

The description starts with a clear purpose statement, but the same sentence is repeated almost verbatim after the confirmation note, wasting space. The @param list is well-structured but the redundancy reduces overall 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?

While parameter semantics are thorough, the description lacks high-level workflow context such as prerequisites (e.g., having sufficient USDC) or what happens after confirmation. The output schema exists so return values need not be explained, but the overall operation context remains 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?

Schema description coverage is 0%, but the description provides detailed @param explanations for all 19 parameters, including conditional logic for entity_type (individual vs business) and clarifications like account_fk being a database ID. This adds substantial meaning beyond the bare input schema.

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

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

The description clearly states the tool 'Creates a blockchain (USDC) to FIAT off-ramp in Europe for SEPA supporting bank accounts,' using a specific verb and resource. It distinguished from siblings by explicitly naming SEPA and USDC, which differentiates it from tools like netfluid__bridge_off_ramp_ach_wire and netfluid__bridge_on_ramp.

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 clear context by specifying Europe and SEPA-supporting bank accounts, implying when this tool should be used. However, it does not explicitly mention alternatives or when not to use it, so it stops short of full exclusion guidance.

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

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

Annotations are empty, so the description carries the burden. It discloses a confirmation step ('Confirm (yes/no) before executing'), a business rule (one virtual account per payment rail), async default for alias, and clarifies that account_fk is an int database ID not an address. This is meaningful behavioral context, though it does not cover everything (e.g., reversibility, fees).

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 structured with a summary, @param list, and @return, but the opening sentence is duplicated ('Creates a virtual account...' appears twice), which wastes space and hurts conciseness. Still, it is reasonably organized and front-loaded.

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

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

Given the tool's complexity (9 params, no annotations), the description is quite complete: it documents all parameters, constraints, and some behavioral details. It lacks explicit usage guidance and some operational context (e.g., prerequisites beyond parameters), but the presence of an output schema reduces the need to explain return values.

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

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

Schema description coverage is 0%, but the description's @param section explains every parameter, including possible values for blockchain, currency, and source_rail, plus the meaning of account_fk and the source of token/wallet_fk. This fully compensates for the lack of schema descriptions.

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 creates a virtual account (SEPA/ACH/WIRE) to blockchain bridge, with a specific verb and resource. It also mentions the limitation of one account per payment rail, distinguishing it from bridge deletion, listing, and off-ramp tools among siblings.

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

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

The description implies usage by describing the action and the confirmation requirement, but it does not explicitly state when to use this tool versus alternatives like off-ramp or bridge_blockchain. It provides a constraint (one per rail) but no direct when/when-not guidance.

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

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

With empty annotations, the description carries the full burden of behavioral disclosure. It mentions a confirmation step and the mutation of a name, but does not disclose whether the operation is reversible, whether the bridge must exist, or any permission or side-effect details. The duplicated sentence consumes space that could have been used for additional 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 short but contains a redundant repetition of the main action: 'Changes the Bridge's descriptive name.' appears twice, once before and once after the confirmation note. This duplication is unnecessary and slightly harms structure, though the @param list is clearly organized.

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?

All parameters are explained and the return type is noted, with an output schema present to cover return details. However, the confirmation instruction is ambiguous (does the API require confirmation, or should the agent ask the user?), and there is no mention of prerequisites or error conditions. For a mutation tool with no annotations, this leaves notable 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 @param lines add meaningful context beyond the schema, explaining the source or purpose of each parameter (e.g., token from /access/login, external_account_id from /bridge/list, alias as the new name). Since the schema has 0% description coverage, this fully compensates and provides clear guidance for all five 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 changes a Bridge's descriptive name, using a specific verb and resource. It distinguishes from siblings like bridge_delete or bridge_list by focusing on the renaming action, and the duplicate sentence does not obscure this.

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 instruction 'Confirm (yes/no) before executing' provides some usage guidance, but there is no explicit advice on when to choose this tool over alternatives or when not to use it. Sibling tools such as bridge_delete and bridge_list are not referenced, leaving the usage context implicit rather than explicit.

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 that the operation returns data and returns a JSON object, but it does not explain authorization requirements, pagination, rate limits, or what 'authorised' means in practice. Given the lack of annotations, this is insufficient.

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, but the opening sentence is duplicated verbatim, which wastes a sentence. The @param and @return annotations could be considered structured documentation, but the duplicate line detracts from conciseness. It is not overly verbose, but the redundancy prevents a higher score.

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 list operation with an output schema, this is minimally viable. It communicates the core action and parameter, and the output schema covers the return shape. However, it lacks usage context, behavioral notes, and the duplication reduces 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?

Schema coverage is 0%, but the description meaningfully explains the api_key parameter as 'the api key allocated to your application'. This clarifies its purpose beyond the bare 'string' type in the schema. Since there is only one parameter, this compensation is adequate.

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

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

The description clearly states it 'Returns all authorised commodities', providing a specific verb and resource. It is distinguishable from sibling tools by the commodity resource, though it does not explicitly mention alternatives. The repetition of the same sentence is a minor flaw.

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 exclusions, prerequisites, or why one might choose this over related type-listing tools like netfluid__account_types or netfluid__currency_types. The only implicit usage is the tool's basic purpose.

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

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

With no annotations, the description must fully disclose behavior, but it only says 'provides a link' and 'reference information,' which is vague. It does not clarify whether it returns a URL, document, or structured data, nor does it mention side effects, permissions, 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 short but contains redundancy and a typo ('This tools'). The two sentences overlap in meaning and could be merged into one clear statement. It is not overly verbose but lacks polish.

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 with an output schema, the description is minimal but somewhat cryptic, referencing a 'referenced_tools' schema without explaining it. It does not fully clarify what the user will receive, though the output schema may compensate.

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 covers everything. The description adds no parameter detail, but none is needed. Baseline 4 applies.

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

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

The description clearly states the tool provides a link to compliance procedures and documentation, identifying the resource and action. However, it does not explicitly distinguish it from sibling tools like privacy or terms, though compliance is distinct enough.

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

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

There is no guidance on when to use this tool versus alternatives. The description implies it is for compliance information, but it does not mention exclusions or contrast with sibling tools such as privacy, terms, or help_ping.

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

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

There are no annotations, so the description must disclose behavioral traits. It only states that a balance is returned and mentions it returns a JSON object. It does not indicate whether this is read-only, what happens on invalid account_fk, or any side effects. It fails to add behavioral context beyond the obvious.

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 first sentence is duplicated verbatim, creating unnecessary repetition. The @param and @return structure is clear and readable, but the redundant opening line detracts from conciseness.

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

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

Given the tool's simplicity, the description covers purpose and parameters adequately. However, it lacks usage guidance and any behavioral context such as errors or prerequisites. The presence of an output schema mitigates the need for return field details, but overall the description is minimally viable rather than comprehensive.

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

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

The input schema has 0% description coverage, but the description compensates fully. It explains api_key as 'allocated to your application', token as provided by /access/login, and gives detailed, crucial context for account_fk: it is a database ID, not an address, and may not be 0. This adds meaningful semantics beyond the raw schema types.

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

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

The description states a specific verb and resource: 'Returns a crypto wallet address balance associated with an account_fk.' This clearly identifies the tool's function. It does not explicitly distinguish from the sibling tool netfluid__crypto_token_balance, though the name and resource hint at the distinction, so it loses a point for lack of explicit 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?

No guidance is provided on when to use this tool versus alternatives such as crypto_token_balance or wallet_accounts_list. There are no prerequisites, exclusions, or context indicating when this tool is the right choice.

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 empty annotations, the description carries the burden of behavioral disclosure. The verb 'List' clearly indicates a read-only operation, and the description adds context by stating that each entry returns a blockchain_fk 'for later use', hinting at the purpose. It does not disclose rate limits or error handling, but for a simple list, the behavior is largely transparent. 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 short but redundant, effectively stating the same thing twice in the first two sentences. It front-loads the purpose, which is good, but the duplication wastes space. The param/return sections are useful and structurally clear. Overall, it is not maximally concise due to the 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 list tool with one parameter and an output schema, the description is fairly complete. It explains the parameter, the nature of the return (blockchain_fk values), and notes the output is JSON. Since an output schema exists, detailed return format is not needed. It does not cover edge cases, but none are strongly expected for a list of supported blockchains.

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 only defines api_key as a required string with no description, and schema coverage is 0%. The description compensates by explaining that api_key is 'the api key allocated to your application', adding meaningful context. This is sufficient for the single parameter and goes beyond the schema's bare definition.

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 lists all supported blockchains and returns blockchain_fk values for later use. It uses a specific verb ('List') and resource ('supported blockchains'), and the repetition reinforces the purpose without ambiguity. It differentiates from sibling tools by focusing specifically on blockchain identifiers rather than digital assets or crypto info.

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 (to obtain blockchain_fk values for later use) but provides no explicit guidance on when to choose this over alternatives. It does not mention any exclusions or alternative tools. For a simple list tool, the implied context is adequate but not explicit.

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

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 that the DEX charges fees, unsupported tokens are not displayed in balances, and a confirmation is required. However, it omits important behavioral traits for a financial mutation: reversibility, slippage tolerance, network confirmation delays, or whether funds are locked. This is partial but not comprehensive.

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