Rust Crate Security Advisories — buy per-query in-session (rustsecwatch)

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

The description accurately discloses that the tool is a read-only navigator that returns a catalog or sequence, and the annotations reinforce no destructive behavior with readOnlyHint, idempotentHint, and destructiveHint false. It does not overpromise side effects.

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

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

The description is mostly compact and front-loads the key usage guidance, but it contains promotional phrasing ('✅ No API key needed — call this now') and some duplication between the main description and schema description. Still, every sentence contributes useful context.

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

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

For a one-parameter, optional-topic navigator with an output schema, the description fully covers the no-topic and topic cases and explains the relationship to tools/call and tools/list. Nothing essential is missing.

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

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

The optional topic parameter is explained and has 100% schema coverage, but the main description's keyword list includes 'buy' and 'benchmark' while the schema description omits them and uses a different order. This inconsistency makes accepted values less reliable.

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

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

The description clearly identifies the tool as a navigator for the A2AWire tool surface, with a specific verb ('Navigator') and explicit behavior: no topic returns a categorized catalog, a topic returns a recommended sequence. This makes its purpose distinct from the sibling operation 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?

It gives explicit when-to-call guidance: call now, no API key needed, omit topic for full catalog, pass a flow keyword for a sequence. It also clarifies how listed tools are invoked versus tools/list, so an agent knows exactly how to use the guide.

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

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

Beyond the annotations (readOnlyHint, destructiveHint), the description adds behavioral context: 'Read-only' and 'earnings settle non-custodially to your withdrawal address.' This clarifies the non-custodial nature, going slightly beyond the default annotation 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 fairly concise while covering a comprehensive list of outputs. It packs multiple data points into a single sentence without unnecessary verbosity, maintaining good structure.

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

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

Given the tool has no input parameters, the description adequately conveys all output aspects: lifetime earnings, pending amounts, unclaimed rewards, payout balance, buyer spend, and reputation. It also notes the read-only and non-custodial nature, making it complete for an agent to understand what to expect.

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

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

The input schema has no parameters, so there is nothing to explain. The description references that the owner is derived from the authenticated principal (as noted in the schema), but since no parameters exist, no additional semantic meaning is required or provided.

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

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

The description clearly states the tool's purpose: 'Check how much I have earned and what is pending.' It enumerates specific outputs like lifetime USDC, in-flight pending, and unclaimed rewards, distinguishing it from sibling tools such as find_paid_work or get_agent_contract.

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 state when to use this tool versus alternatives. It implies usage for earnings queries but lacks explicit contrast or conditions for choosing it over related tools, such as get_agent_contract.

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?

Description adds 'public metadata only' and 'echoed back' for the question parameter, consistent with annotations (readOnly, idempotent). No contradictory or unexpected behavior disclosed.

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?

Contains marketing-style fluff ('✅ No API key needed — call this now') and extra pricing details that are not essential for core understanding. The structure is acceptable but includes redundant persuasive language.

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

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

Given the simple preview nature, the description provides sufficient information: purpose, free access, public metadata, sample questions, and parameter details. No output schema, but not expected for 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 description coverage is 100% and both parameters (slug, question) are clearly described, with additional context in the overall description about sample questions and echo behavior.

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

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

Clearly states a specific purpose: a free, guest-callable preview of a data listing, with explicit sample questions. Distinguishes itself from sibling tools by emphasizing it is a taste with no API key or payment.

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?

Implies usage for initial exploration before committing to paid queries via the 'No API key needed' and 'FREE preview' statements. Does not explicitly name alternatives but the preview nature is evident.

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

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

Annotations already mark the call as non-read-only, idempotent, and non-destructive. The description adds that this is a paid operation, requires authentication, and is not guest-callable, which gives useful behavioral context beyond the annotations.

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

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

The description is fairly compact but contains a promotional opening sentence and repeats the authentication requirement with 'Requires an agent API key' followed by 'Not guest-callable'. Some redundancy could be trimmed without losing 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?

It covers prerequisites such as an opened session, funded escrow, and API key, and references data_preview. However, it does not mention expected output, error behavior, or the relationship to data_session_fund and funding_package, which would help an agent fully plan a 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?

Only session_id has a dedicated schema description. open_tx_hash and proof_escrow_id are explained mainly by their names and the phrase 'open_tx_hash preferred, or proof_escrow_id', but the description does not clarify where these values come from or what happens if both or neither are supplied.

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

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

The description clearly identifies the action: attach a buyer-funded proof escrow to an opened data session. It also distinguishes the tool from data_preview by mentioning the free taste, and the operation is distinct from sibling tools like fund or open.

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 key precondition (an opened data session), requires an agent API key, and points to data_preview for free access. It does not explicitly contrast with data_session_fund or funding_package, but the intended sequencing is reasonably clear.

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

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

Annotations already declare idempotentHint=true, destructiveHint=false, and readOnlyHint=false. The description adds the cost and the specific listing, plus the fact that funding enables querying, which is useful beyond the annotations. It does not disclose side effects like fund transfers, but the annotations cover the safety profile; this is adequate for a one-parameter 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?

Two concise sentences with no fluff. The main purpose is front-loaded, and the description efficiently conveys the listing, cost, and relationship to preview and query tools. Every sentence earns its place.

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

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

For a tool with a single parameter and no output schema, the description covers the purpose, cost, and how it fits with data_preview and data_session_query. It could mention the need for an existing session (though the schema does) or the sandbox context (from the title), but overall it's complete enough for an agent to decide and call it correctly.

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

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

The input schema describes the only parameter (session_id) with full coverage (100%), including its purpose. The description adds no parameter-specific information beyond the schema, so the baseline score of 3 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 states a specific action ('Buy per-query access to live data listings'), names the exact listing (rustsecwatch), the cost (0.01 USDC/query), and clarifies that it enables data_session_query. This clearly differentiates it from siblings like data_preview (free preview) and data_session_query (the actual query).

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 the free alternative (data_preview) and states the outcome of funding (you can data_session_query), giving clear context for when to use this tool. However, it doesn't explicitly address when not to use it or compare with other funding tools like data_session_funding_package or data_session_attach_escrow, though the 'per-query' phrasing implies a 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?

The annotation readOnlyHint is true while the description says 'Buy per-query access' and 'Returns fund instructions'. This is a direct contradiction: buying or funding implies a state-changing financial transaction, not a read-only operation. The description also does not disclose this inconsistency, severely undermining transparency.

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

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

The description is concise, covering the action, the specific listing, the price, the free preview, and the return type in about two sentences. It is well-structured with no redundant or filler content.

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

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

Given the simplicity of the tool (one parameter, no output schema), the description covers essential aspects: what it does, what it costs, what it returns, and the prerequisite session. It lacks only an explicit comparison with the sibling data_session_fund, but is otherwise complete for an agent to invoke it correctly.

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

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

The single parameter session_id has a schema description that fully explains it ('UUID of a data session you opened (from data_session_open)'). This adds useful context over the bare schema, making it clear where the value comes from and that it is required.

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

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

The description clearly states the tool's purpose: buying per-query access to a specific live data listing (RustSec advisories) at a set price, and even mentions the free preview via data_preview. This is a specific verb ('Buy') with a resource and scope, making it easy to distinguish from generic funding 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 context: it requires an open session (session_id) and mentions data_preview as a free alternative. It does not explicitly differentiate from the sibling tool data_session_fund, but the 'after data_session_open' phrase gives clear sequencing guidance, so it is mostly clear.

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 implies financial commitment ('Buy per-query access') and a session lifecycle, which adds behavioral context beyond the annotations. It does not explicitly mention side effects like charging or failure, but the key actions are evident.

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 is short, direct, and packed with relevant information. It front-loads the core action and pricing, making it easy for an agent to grasp quickly.

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

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

The description explains the workflow but omits what the tool returns (e.g., a session ID needed for subsequent funding/querying calls). Given the complexity of a multi-step session, this missing output context is a noticeable gap.

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

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

Only 3 of 6 parameters have descriptive text (listing_id, listing_slug, buyer_address). The schema description provides context for the listing identifier choice and buyer_address default, but max_queries, open_tx_hash, and proof_escrow_id remain semantically unclear beyond their constraints.

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: buying per-query access to a data listing and opening a prepaid session. It specifically names the listing and pricing, and distinguishes it from the free preview alternative.

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 mentions when to use the tool (after preview, before funding/querying) and references the free preview as an alternative. It also explains the workflow of opening a prepaid session, but does not exhaustively compare with all sibling tools.

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

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

Annotations already declare non-read-only, non-idempotent, and non-destructive behavior. The description adds meaningful behavioral context: paid access at 0.01 USDC per query, a maximum of 20 queries per session, and the required prerequisite workflow. It does not discuss failure modes or insufficient-funds behavior, but the pricing and limit details are valuable.

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

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

Three sentences with no filler: purpose, pricing, listing, and workflow sequence are all packed efficiently. The most important usage constraint (free preview alternative) 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?

With 5 parameters, no output schema, and minimal annotation detail, the description should carry more weight. It covers the workflow prerequisites and pricing but omits parameter semantics, expected return data, and error/edge-case behavior. An agent would still need to inspect the schema closely to call this 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 only 40%, so the description needed to compensate for undocumented parameters like k and delivery_receipt. It does not explain any parameter meaning, valid query formats, or the role of sandbox_receipt. This is a significant gap for an agent trying to invoke the tool correctly.

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

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

The description states the tool buys per-query access to live data listings and identifies the specific rustsecwatch listing and pricing. The workflow sequence makes it clear this is the query step after data_session_open and data_session_fund. The first verb 'buy' is slightly imprecise for what is ultimately a query operation, but the context disambiguates it.

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 points to data_preview for a free first taste and lays out the exact sequence data_session_open → data_session_fund → data_session_query. This gives strong routing guidance, though it does not explicitly state 'when not to use' beyond the free-preview alternative.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds value by stating that results are ranked and includes a total count for pagination, which are useful behavioral details. No contradiction with annotations, and the added context is meaningful.

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

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

Two sentences with zero fluff. The key filters are front-loaded, and the return format (ranked matches, total count) is stated succinctly. Every word earns its place.

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

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

For a tool with 9 optional parameters and full schema coverage, the description is sufficient. It covers the main purpose, the semantic search option, and pagination. Output schema exists, so return details are not needed. An explicit note about when to prefer this over siblings would push it to 5, but overall it's 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 100%, so each of the 9 parameters is already described in detail. The description mentions 'capability, minimum reputation, and optional semantic search,' which maps to key parameters but doesn't add new meaning beyond the schema. Baseline 3 is appropriate when the schema carries the load.

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: finding agents by capability, minimum reputation, and optional semantic search. It names specific filters and mentions ranked matches, making it distinct from generic search tools. It could benefit from explicitly naming a sibling to avoid confusion, but the verb+resource and filter list are specific 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?

The description gives a clear context of when to use this tool (when searching for agents with certain attributes) but does not mention any alternatives or exclusions. Sibling tools like find_paid_work or get_recommended_action might be relevant, but no guidance is provided on choosing between them. Implied usage is adequate, but explicit routing would be stronger.

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

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

The annotations already declare readOnlyHint, idempotent, and non-destructive, so the bar is lower. The description adds the useful trait 'No API key needed' and implies read-only behavior by saying 'Returns open jobs'. It does not mention any side effects, which is consistent with the annotations. It adds a bit of context beyond the annotations, earning a 4.

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

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

The description is concise and information-dense, with only two sentences plus a follow-up. It front-loads the primary action and includes filtering guidance and next steps. The '✅' and 'call this now' are slightly promotional but do not bloat the text. It is well-structured and efficient, though could be slightly cleaner without the emoji.

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 input (capability, network), the output (open jobs plus matched subset), and the next step (start_job). It also mentions the cold-start preference and that no API key is needed. Given the presence of an output schema, it does not need to detail the return format. It is complete for a simple read-only tool, though it does not mention any rate limits or edge cases, which are not critical here.

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 already cover all parameters well, but the description enriches them by noting 'capability (case-insensitive)'—a detail not present in the schema—and reinforces the testnet preference. It also clarifies the purpose of the network parameter for cold-start scenarios. This adds value beyond the schema, making it a 5.

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: 'Find paid work your agent can do right now on the A2AWire job board.' It uses a specific verb ('Find') and resource ('paid work on A2AWire job board'), and distinguishes itself by mentioning the follow-up 'start_job' call, even though that tool is not in the sibling list. It is unambiguous and easy to understand.

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 actionable usage guidance: 'call this now' implies it is the primary tool for this purpose, 'Filter by capability (case-insensitive) and network (prefer testnet for cold-start)' tells how to refine the search, and 'Then call start_job with a job_id' suggests the next step. However, it does not explicitly contrast with sibling tools like 'discover_agents' or 'a2awire_guide', so it loses one point for lack of explicit when-not-to-use guidance.

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

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

The description is consistent with the readOnlyHint annotation, and it notes that no API key is needed, which is useful transparency. However, it does not detail what the tool returns in terms of structure or how the data might be used, leaving some ambiguity about its side effects or output.

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

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

The description is repetitive, mentioning 'Fetch' twice and re-listing 'schema_url' and 'schema_hash' in the second half. This redundancy makes it less concise than it could be, though it remains relatively short 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?

The description does not fully clarify what the tool's response contains (e.g., a JSON object with specific fields) or what the agent is expected to do with the fetched data beyond 'validating the contract.' It leaves the operational context 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 tool has zero parameters, so there is nothing to explain. The schema description coverage is effectively 100% (no parameters exist), and the description adds no extra parameter-related info, so it stays at the baseline score.

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

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

The description indicates that the tool fetches an AgentContractV1 descriptor and hosted_runtime facts, but it also mentions validation, which muddles the primary purpose. It is not immediately clear whether the tool's main role is to retrieve data or to perform a validation check.

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

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

The phrase 'call this now' is more of a directive than a use-case guideline. While 'to validate the platform contract before acting' gives some context, it does not clearly specify when to use this tool versus alternatives, nor does it outline any prerequisites or conditions.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds that it returns a single next tool with pre-filled args, based on current state, which is useful behavioral context beyond the annotations. This enriches what the agent knows about the tool's output.

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

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

Two sentences, zero waste, and the primary question is front-loaded. The state-transition list is compact and informative, and the closing clause about not reasoning over the full catalog reinforces value without redundancy.

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

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

For a tool with no parameters, simple logic, and an output schema, the description covers everything an agent needs to decide when to call it and what to expect. It explains the decision logic and the nature of the return value, making it fully self-contained.

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

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

The tool has zero parameters and the schema coverage is 100%, so the schema fully documents the input. Per the rubric, a baseline of 4 applies for 0 params. The description adds no parameter-specific details, but none are needed—the absence of parameters is clear from the schema.

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

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

The description states a specific verb ('get recommendation'), a resource (next action on A2AWire), and provides concrete state transitions (unregistered → register, unverified → start admission, verified → accept paid work or explore board). It clearly differentiates itself from siblings like a2awire_guide (which likely provides general guidance) and find_paid_work (a specific action), making it 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 implicitly tells when to use it: when the agent needs a single next step without reasoning over the whole catalog. It mentions the alternative of exploring the board as part of the recommendation, but doesn't explicitly state when NOT to use it or name sibling alternatives directly. Clear context, but lacks explicit exclusions.

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

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

Annotations already mark the tool as destructive and non-read-only. The description adds concrete behavioral details beyond that: it creates and funds an escrow on-chain, and notably explains that the buyer agent is derived from the authenticated principal, never from arguments. This discloses meaningful side effects and a non-obvious behavior not present in the annotations.

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

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

The description is succinct and front-loaded with the primary action ('Hire an agent...'), followed by a brief breakdown of steps and the unique positioning. It contains no fluff or redundant information, making every sentence purposeful.

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 with only three params and nested-free inputs, and an output schema is present, so the description need not explain return formatting. It covers the essential flow, the derivation of the buyer agent, and the on-chain funding aspect. It does not mention prerequisites like onboarding, but given sibling tools exist for that, it is reasonably complete for its scope.

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

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

Schema descriptions already cover all three parameters, so the baseline is 3. The overall schema description adds valuable context that the buyer agent is not a parameter and only capability, task, and price ceiling travel in the arguments, which clarifies the role of each parameter in the broader flow. This enriches understanding beyond the simple field 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 ('Hire an agent from the marketplace to execute a task') and details the process (searches by capability, creates escrow, funds it, executes, returns result). It also distinguishes itself from sibling tools by calling itself the 'one-call bridge' for local orchestrators, effectively setting it apart from discovery or session-based 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 indicates when to use the tool ('one-call bridge for local orchestrators'), which implies a use case but does not explicitly contrast with alternative tools such as discover_agents or data_session_*. It gives context but lacks a direct 'use this instead of X when...' statement, so it falls short of the highest bar.

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 explicitly says the tool 'Returns' data and lists the output, implying no side effects. This aligns with the readOnlyHint and idempotentHint annotations, and there is no contradiction.

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

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

The description is two focused sentences with no redundant wording. It front-loads the use case and then packs the specific output items into a clear list.

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

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

Given the tool's simplicity and existing output schema, the description provides sufficient context for an agent to decide when to call it. It covers what is returned and frames the user-facing need.

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 there are no parameters, the description proactively explains the lack of arguments and notes that the owner is derived from the authenticated principal. This adds meaningful context beyond the empty schema.

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

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

The description uses a specific verb ('Returns') and names the exact resource: onboarding status, registered agents, capability manifests, progress checklist, testnet config, and actionable next steps. This clearly distinguishes it from sibling tools like register or get_recommended_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 opening question 'Where am I in onboarding?' and the promise of 'exactly what you can do now vs. still need' communicates when to use the tool. It does not explicitly mention alternative tools, but the read-only status nature makes the intended scenario clear.

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 the call is free and requires no wallet/API key, but it does not say what side effects occur (creating an owner key/agent), what the response contains, or that this is a state-changing onboarding action. The annotations indicate non-read-only and non-idempotent, yet the description itself is silent about the actual mutating behavior.

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

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

The description is short, but nearly every clause is promotional filler ('✅', 'Free', 'call this now') rather than informative. It front-loads a call to action instead of stating what the tool does, so the sentence does not earn its place as a functional description.

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

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

Despite the very detailed input schema, the tool description is incomplete for the overall context: it never clarifies that register is the onboarding/API-key endpoint, that an empty object is a valid call, or what kind of result to expect. The narrow rustsecwatch framing makes the tool look like a one-off unlock rather than a general registration capability.

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

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

Schema coverage is 100% with detailed descriptions for all 15 optional parameters, so the baseline is met. The description adds almost nothing about parameters and even emphasizes 'no wallet needed' while the schema includes optional wallet and withdrawal fields, but it does not contradict them; no parameter semantics are explained by the tool description itself.

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

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

The description names the action ('Call register') and a concrete outcome ('unlock the purchase tools for rustsecwatch'), so the immediate purpose is identifiable. However, it frames registration only as a prerequisite for one paid skill and never states the underlying operation of registering/onboarding an agent or obtaining an API key, leaving the broader purpose vague.

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 gives a strong trigger ('call this now' / 'on this session') and states no API key or wallet is needed, but it provides no conditional guidance about when register is appropriate versus alternatives like onboard_start or a2awire_guide. There are no exclusions or comparison points, so an agent cannot decide between this and sibling tools.

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

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

The description is fully transparent about the behavior: it performs an independent verification and returns on-chain details. This aligns with the readOnlyHint, openWorldHint, idempotentHint, and destructiveHint annotations. There is no contradiction and no hidden side effects indicated.

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, well-structured sentence that immediately states the purpose and then lists the specific outputs. No unnecessary words or repetition; it is easy to parse quickly.

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

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

For a no-argument, read-only verification tool, the description is complete. It names the target contract, the verification intent, and all expected output fields. An agent can determine when and how to invoke it without additional context.

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

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

The tool has zero parameters, and the input schema is empty. Since there are no parameters to describe, the description appropriately omits parameter details; the baseline for zero-parameter tools is a 4.

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 clearly states the tool's purpose: independently verify the EscrowVault on-chain, and enumerates the exact returned data (address, chain id, RPC, explorer link, USDC token, ABI summary). This distinguishes it from sibling tools like get_agent_contract or data_session_attach_escrow, which focus on other contract or data-session concerns.

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

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

The phrase 'Independently verify the EscrowVault on-chain' implies when the tool is appropriate, but it does not explicitly contrast with alternatives or state conditions such as 'use this when you need a trusted on-chain check before proceeding.' No sibling tools are referenced, so guidance is only implied.

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