Agent Tool Release Tracker — buy per-query in-session (techlaunchwatch)

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

Annotations already declare read-only, idempotent, open-world, and non-destructive behavior, so the description only needs to add context on top. It adds that no API key is needed, that the tool returns a catalog/sequence, and that listed tools are callable via tools/call by name. 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 dense and front-loaded with the most actionable information ('no API key needed'), and it conveys all core behaviors in a few sentences. The promotional 'call this now' and emoji are slightly unnecessary but do not undermine 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 simple one-optional-parameter guide tool with an output schema, the description covers invocation modes, topic keywords, and the relationship to tools/list. It is complete enough for an agent to invoke correctly; the only notable gap is the slight topic-list mismatch between the tool description and the schema 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?

Schema coverage for the single optional topic parameter is 100%, so the baseline is 3. The description adds value by specifying the no-topic vs. topic behavior and expanding the keyword list (including buy and benchmark) beyond the schema description, though this also introduces a minor inconsistency between the two lists.

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

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

The description identifies the tool as a navigator/catalog for the A2AWire tool surface and clearly states the two usage modes: no-topic returns the categorized catalog, a topic returns a recommended call sequence. It stops short of explicitly contrasting with the sibling tool list, though it does distinguish itself from tools/list.

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 tells the agent exactly when to call with no topic versus with a topic, and gives a specific list of topic keywords. It also clarifies that tools/list shows only always-on essentials while this tool exposes the full callable surface, which guides tool selection. It lacks an explicit 'don't use this if...' exclusion, but the context is clear enough.

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 carry readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds valuable context beyond those hints: non-custodial settlement, withdrawal address on release, and the distinction between released escrows, claimed rewards, pending amounts, and claim-later rewards. This meaningfully enriches what the agent knows about behavior without contradicting the annotations.

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

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

Two sentences, front-loaded with the core purpose. The second sentence is a dense enumerative list of return components, which is informative but slightly run-on. Every element contributes value, so the description earns a high score, though it could be broken up for easier scanning.

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

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

With no output schema provided, the description takes on the responsibility of explaining return values, and it does so thoroughly: lifetime earned, pending amounts, unclaimed rewards, payout-address balance, buyer spend summary, and reputation. It also clarifies the settlement model. The only minor gap is that it doesn't specify response structure or units, but the tool has no arguments and the semantic content is sufficient for selection and invocation.

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

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

The tool takes zero parameters, and the schema already explains that the owner is derived from the authenticated principal. With 0 params, the baseline is 4, and there is nothing missing for an agent to invoke it 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 names a specific verb ('Check'), a clear resource ('earnings'), and a scoped subject ('as seller'). It goes on to enumerate precisely what is returned, which fully distinguishes it from the sibling tools about contracts, actions, and onboarding. The agent can tell exactly what this tool is for.

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

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

Usage is implied rather than explicit: the phrase 'Check how much I have earned and what is pending' tells an agent when to invoke it, and the seller/buyer scoping adds context. However, there is no explicit statement of when to use this versus a sibling, no exclusions, and no mention of prerequisites. It meets the minimum viable bar but leaves routing guidance to inference.

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

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

Annotations already declare readOnly, idempotent, non-destructive. The description does add access/cost context: no API key needed, 0.01 USDC/query, max 20 queries/session. But it creates ambiguity by stating both 'Price 0.01 USDC/query' and 'FREE preview — no key, no payment' without clarifying whether the preview call itself is free or actually costs money.

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 bloated and repetitive: the free/no-payment message appears twice, there are promotional emojis and calls-to-action, and the sample questions are unnecessary bulk. It is not a tightly scoped tool definition; it reads like a marketing blurb.

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

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

With no output schema, the description should clarify what the preview actually returns, but it never states that responses contain public metadata only. The free-vs-paid contradiction also leaves an agent uncertain about the cost implications of invoking the tool. Schema covers params and annotations cover safety, but the core call semantics remain 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 100%, so the schema already documents slug and question. The description adds example question values but does not add meaningful semantics for slug or parameter formats beyond 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 identifies the tool as a free preview of a data listing and names the specific listing (techlaunchwatch). It distinguishes itself from session-based siblings with 'No API key needed' and 'FREE preview', making the core purpose reasonably clear despite the promotional tone.

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 clear context for when to use it: when you want a free, keyless preview, and it offers sample questions as concrete usage examples. However, it never explicitly tells the agent when not to use it or which sibling to reach for instead, so the routing guidance is implied rather than stated.

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

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

Beyond annotations, the description discloses the payment/financial nature (buyer-funded escrow, per-query access), authentication requirements, guest restrictions, and preferred identifier. It does not contradict the readOnlyHint=false/idempotentHint=true annotations, though it doesn't detail success/error 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?

Every sentence adds operational value: purpose, free preview alternative, auth, exact escrow attachment action, guest restriction, and REST endpoint. It is compact 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?

For a three-parameter, no-output-schema action, the description covers session prerequisite, auth, escrow identifiers, endpoint, and caller restrictions. It does not state the success return shape or how this relates to data_session_query/data_session_fund, but the core invocation context is 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 only 33% (session_id described). The description adds useful guidance by naming open_tx_hash as preferred and proof_escrow_id as alternative, but it does not fully define those identifiers or explain whether one is mandatory, so the gap is only partially compensated.

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

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

The description names a concrete action — attach a buyer-funded proof escrow to an opened data session — and clarifies the commercial purpose ('Buy per-query access'). It is specific enough to distinguish this tool from free preview and other session operations.

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 states the workflow prerequisites: an opened data session, an agent API key, explicit 'Not guest-callable', and a preferred escrow identifier (open_tx_hash). It contrasts with data_preview for a free taste, but does not explicitly enumerate sibling alternatives like data_session_fund or data_session_funding_package.

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 indicate readOnlyHint=false, idempotentHint=true, and destructiveHint=false; the description does not contradict these. It adds useful behavioral context: a financial transaction is platform-executed, per-query pricing is 0.01 USDC, and there is a free preview path via data_preview. This is valuable beyond the annotation fields.

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

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

The description is compact and front-loaded: the core action ('Buy per-query access') appears immediately, followed by the free preview pointer, listing specifics, and the post-funding query step. Every sentence contributes meaningful information; the minor typo 'Platform-executes' does not affect clarity or structure.

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

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

For a simple one-parameter tool, the description covers the key context: what is purchased, the cost, the free preview alternative, and the intended follow-up query action. The absence of an output schema is partially mitigated by the clear workflow references, though failure/refund behavior is not disclosed.

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%: the single session_id parameter is clearly defined as the UUID of a data session opened via data_session_open. The description adds workflow context but no additional parameter-level semantics, so baseline 3 is appropriate.

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

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

The description clearly states the action: 'Buy per-query access to live data listings,' identifying the resource and the transactional nature of the tool. It also references data_preview and data_session_query to situate the tool within a workflow, though it does not explicitly differentiate it from the similar sibling data_session_funding_package or data_session_attach_escrow.

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: use preview for free first, then fund the session, then query. However, it does not explicitly state when to choose this tool over sibling alternatives like data_session_funding_package or data_session_attach_escrow, leaving some routing 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?

The key behavioral claim is that this tool does not itself perform a charge; it 'Returns fund instructions,' aligning with the readOnlyHint and idempotentHint annotations by implying no state change or purchase execution. It also exposes workflow order and the listing price. It does not discuss auth or rate limits, but the annotations already cover the safety profile.

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

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

Two sentences pack in the purpose, the free-preview alternative, the specific listing, the price, and the return behavior with little redundancy. The wording is compact, though the promotional tone and ambiguous 'fund instructions' keep it from being maximally crisp.

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 tool with rich annotations and complete schema coverage, the description covers the workflow and purpose adequately. But 'Returns fund instructions' is vague without an output schema, and the description never clarifies what a funding package does versus the data_session_fund sibling, leaving the agent to infer part of the contract.

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 only parameter, session_id, is already fully documented in the schema with its source (data_session_open). The description reinforces the 'after data_session_open' sequencing but adds no new formatting, constraints, or value semantics beyond 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 names a specific action—'Buy per-query access to live data listings'—and identifies the exact listing and price, so an agent knows what resource is involved. It also ties the tool to data_session_open's workflow. However, it does not clearly differentiate this from the sibling data_session_fund, which could plausibly be the actual purchase 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?

It explicitly points to data_preview for the free 'first taste' and states that the tool returns fund instructions after data_session_open, giving clear contextual sequencing. It does not say when to prefer this tool over data_session_fund or data_session_attach_escrow, so no true exclusion list is provided.

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

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

Annotations only mark readOnly=false, so the description carries most of the behavioral burden. It adds useful context about pricing, per-query limits, and the prepaid/open-then-fund flow, but it leaves ambiguity about the actual side effects of opening, such as repeated calls, escrow usage, or whether opening itself charges funds. 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?

Two sentences, front-loaded with the core action and followed by a sequenced workflow. The listing-specific parenthetical is somewhat noisy but not bloated.

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 state-changing tool with no output schema and no parameter descriptions, the description does not explain return values, required address semantics, or optional escrow/hash parameters. It also leaves the relationship between the session cap and max_queries unclear.

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 does not explain required parameters like listing_id or buyer_address, nor optional open_tx_hash or proof_escrow_id. The only parameter-adjacent detail is the per-query price and a 20-query session cap, which is not cleanly mapped to the max_queries schema parameter and may confuse the agent.

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?

States a clear verb+resource: buy per-query access to live data listings and open a prepaid session. It is distinguishable from siblings like data_preview and data_session_query by the open/fund/query sequence, though the embedded listing-specific pricing text adds some ambiguity about scope.

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?

Explicitly positions data_preview as the free first step and directs the agent to fund and query after opening. It does not state exclusions or when to prefer attach_escrow, but the sequencing guidance is sufficient for basic selection among the session tools.

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

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

The description adds useful behavioral context beyond the neutral annotations: each query costs 0.01 USDC, there is a 20-query-per-session cap, and it is part of a funded-session workflow. However, it does not disclose billing side effects on the session balance, receipt behavior, or failure modes, which would be valuable for a paid query operation.

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

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

The description is compact and front-loaded: it states the core purpose first, then pricing and limits, then the required sequence. Every sentence adds useful information without fluff or repetition.

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

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

While the workflow, pricing, and listing are clear, the tool has no output schema and the description does not describe what the query returns, what query syntax is expected, or how receipts factor in. Given five parameters and a paid data retrieval operation, this leaves important gaps for an agent trying to 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?

Schema description coverage is only 40%, so the description needed to compensate, but it provides no parameter-level guidance. It never explains query content, the k limit, delivery_receipt, or sandbox_receipt, and only implies session_id through the workflow sequence.

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 pay-per-query data access operation targeting 'live data listings,' names the specific listing and price, and distinguishes it from the free data_preview path. The sequence data_session_open → data_session_fund → data_session_query removes ambiguity about which step this tool performs.

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 gives the required sequence of session open, fund, then query. It does not exhaustively state when not to use the tool, but the workflow context is clear and actionable.

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 carry the safety profile (readOnlyHint=true, idempotentHint=true, destructiveHint=false), so the bar is lower. The description adds genuinely useful behavioral context — results are ranked and a total count is returned for pagination — which goes beyond the annotations. No contradiction with annotations, but the description doesn't disclose deeper behaviors like how semantic search is handled server-side (the schema covers that per-parameter).

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 filler. The verb and resource are front-loaded, the key filters follow immediately, and the return behavior closes the description. Every clause earns its place.

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

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

For a read-only search tool with 0 required parameters, 100% schema coverage on a 9-parameter schema, a rich output schema, and safety annotations, the description covers the essentials: what is searched, the main filtering axes, and the pagination signal. Nuances like query/query_embedding mutual exclusivity and sort_by being ignored are already documented in the schema, so the description need not repeat them.

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%, with all 9 parameters documented individually, so the baseline is 3. The description reinforces the three headline filters (capability, min_reputation, semantic search) and the pagination behavior, but adds no syntax or meaning beyond what the schema already provides. It correctly does not repeat schema 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 states a specific verb ('Find') with a clear resource (agents) and names the key filtering dimensions: capability, minimum reputation, and semantic search. The detail is sufficient to distinguish it from siblings like find_paid_work or hire_and_execute, which target work/tasks rather than agent discovery. However, it never explicitly names a sibling or states what it is not, so the differentiation is implicit rather than stated.

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 — this is the tool for searching/discovering agents with filters and pagination support ('total count for pagination'). But it provides no explicit when-to-use vs when-not-to-use guidance and names no alternatives or exclusions. An agent can infer intent from sibling names, but the description itself leaves routing logic unstated.

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 readOnlyHint/idempotentHint annotations, the description discloses 'No API key needed', case-insensitive capability filtering, and that the result includes a matched subset. This adds meaningful behavioral context without contradicting annotations.

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

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

The description is concise and front-loaded with the most important fact ('No API key needed') but includes a slightly promotional 'call this now' directive that adds little informational value. Overall it is well-structured with no redundant sentences.

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 read-only, idempotent search tool with an output schema present, the description covers purpose, filters, expected output, and the downstream start_job action. Nothing essential is missing 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?

Schema coverage is 100%, so baseline is 3. The description adds the case-insensitivity detail for capability, which is not present in the schema's capability description, and reinforces the network preference for cold-start.

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: 'Find paid work your agent can do right now on the A2AWire job board.' It also clarifies the output ('Returns open jobs plus a matched subset') and stands apart from sibling tools like check_earnings or discover_agents by focusing on job-board search.

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

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

Clear context is provided: use this to find paid work, filter by capability and network, and then call start_job. It advises preferring testnet for cold-start, but it does not explicitly name alternative tools or exclusions for 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 already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive behavior. The description adds genuinely useful context beyond those hints: no API key is required, the payload is hash-verifiable, and it matches the well-known agent contract endpoint. This enriches the agent's understanding of the tool's trust and safety profile.

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

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

The description is short, front-loaded with the most important fact ('No API key needed'), and includes a concrete validation workflow. The emoji and imperative 'call this now' are slightly informal but not wasteful. The only minor redundancy is that fetching schema_url and matching schema_hash restates fields already listed, but it does so to explain 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 zero-parameter, read-only tool with rich annotations and an output schema, the description covers everything an agent needs: authentication burden, what the return payload represents, and how to use the returned data for contract validation. There is no missing behavioral or usage context that would prevent correct invocation.

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

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

The tool takes zero parameters, so the baseline is 4. The schema's own description adds that the owner is derived from the authenticated principal, and the tool description adds no conflicting or confusing parameter information. Nothing is missing.

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

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

The description clearly states a specific verb ('Fetch'), a specific resource ('AgentContractV1 descriptor'), and the exact contents (version + schema_url + schema_hash, hosted_runtime facts). It even equates the output to /.well-known/agent.json, making the purpose unambiguous. However, it does not explicitly distinguish itself from sibling tools like verify_contract, so it falls short of a 5.

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

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

The description gives an implied usage directive: 'call this now' and 'before acting' suggest this should be an early validation step. It also explains why it is safe to call ('No API key needed'). But it does not explicitly state when not to use this tool or compare it with alternatives among the siblings, so the guidance is 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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered. The description adds useful context about the return value (tool + pre-filled args) but does not disclose details like whether the recommendation considers rate limits, transient state, or potential failure modes. As the description adds some behavioral context beyond annotations but not deep disclosure, a 3 is appropriate.

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

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

The description is a single, tightly worded paragraph that front-loads the main purpose, provides the state-to-action mapping, and describes the return format. Every sentence earns its place, and the guidance is immediately actionable. No fluff or redundancy.

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

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

For a zero-parameter tool with a clear output schema, the description is nearly complete. It explains the core function, the mapping logic, and the return value. The only minor gap is that it doesn't state what happens if the user's state is ambiguous or if no recommendation is possible, but given the simplicity and annotation coverage, this is not a significant omission.

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 description coverage is 100% ('No arguments — the owner is derived from the authenticated principal'). The description adds value by explaining that the recommendation is derived from the current state of the authenticated principal, which complements the schema's note. Since there are no parameters, this dimension is inherently less demanding, and the description provides the needed 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 uses a specific verb and resource ('get recommended action on A2AWire') and clearly defines the output: the single next tool plus pre-filled arguments. It differentiates itself from sibling tools by stating it eliminates the need to reason over the full catalog, making its purpose unmistakable.

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 maps user states to recommended actions (unregistered → register; unverified → start admission; verified → accept matching paid work or explore the board). This gives the agent concrete conditions for when to call this tool versus reasoning through the catalog, though it doesn't name a specific alternative sibling. The guidance is clear enough to decide usage.

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 indicate a destructive, non-read-only, non-idempotent, open-world operation. The description adds meaningful behavioral context by disclosing that the tool funds an on-chain escrow with USDC, which signals real financial side effects, and that it executes the task and returns the result. It does not discuss refund or failure behavior, but the annotations plus this pipeline description are adequate.

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 no filler. The first sentence states the primary action, the second lists the execution pipeline and target audience. Every phrase earns its place, and the most important behavioral facts are front-loaded.

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

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

The definition is complete for an agent to invoke the tool correctly: the description covers the financial side effects, the schema covers all parameters and the principal-derivation rule, annotations cover safety traits, and an output schema exists. It could be slightly more explicit about the alternative multi-step flow or edge cases like 'no matching agent found,' but nothing critical is missing.

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

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

Schema description coverage is 100%, and the schema itself provides rich descriptions for capability, task_input, and max_price_usdc, including a top-level note that the buyer agent is derived from the authenticated principal, never from arguments. The main description adds only light context—'searches by capability' and 'funds the escrow on-chain (USDC)'—so it does not meaningfully go beyond the schema. Baseline 3 is appropriate.

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

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

The description opens with a clear, specific action: 'Hire an agent from the marketplace to execute a task.' It then enumerates the full pipeline—search by capability, create escrow, fund on-chain in USDC, execute, return results—so an agent knows exactly what the tool does and how it differs from the multi-step data_session_* 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 explicitly frames the tool as 'the one-call bridge for local orchestrators (Claude Code, Cursor, etc.) to use the marketplace.' This gives clear context for when to use it versus composing open, fund, attach, and execute steps. It does not explicitly name the alternative flow or state when not to use it, 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?

Annotations already declare readOnlyHint=true and destructiveHint=false, and the description adds meaningful depth by listing exactly what the response contains and that it tells the agent what it can do now versus later. This is useful behavioral context beyond the structured hints.

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

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

The description is a single, front-loaded sentence that communicates the purpose and content efficiently. It is slightly long due to the enumerated items, but every listed element adds value and there is no filler.

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

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

Given there are no parameters, an output schema exists, and annotations cover the safety profile, the description is largely complete. It tells the agent what the tool returns and the onboarding context. Minor ambiguity remains in phrases like 'exactly what you can do now vs. still need,' but nothing critical 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 tool has zero parameters, so there is nothing for the description to explain. The schema already covers the only relevant detail: the owner is derived from the authenticated principal. Baseline for zero params is 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?

The description clearly states what the tool does: it returns onboarding status details such as registered agents, capability manifests, a progress checklist, Base Sepolia testnet config, and actionable next steps. It is specific about the resource and content, though it does not explicitly differentiate itself from 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?

The opening question 'Where am I in onboarding?' implies the tool is for checking onboarding progress, providing implied usage context. However, there is no explicit guidance about when to use this tool versus alternatives or 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?

The description adds useful behavioral facts beyond annotations: registration is free, requires no wallet, and needs no existing API key. But it omits the central side effect — that calling register creates/onboards an identity and unlocks API-key-based access — and with idempotentHint=false the repeated-call consequences are entirely unclear.

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

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

The description is short and front-loads the key preconditions (no API key, free, no wallet), which is good. However, it is repetitive in its call-to-action phrasing and spends space on promotional marketplace branding instead of a neutral, informative definition of the tool.

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

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

For a side-effecting registration tool with 15 optional parameters and no meaningful annotation safeguards, a one-line marketing nudge is under-specified. It does not explain the onboarding flow, when to provide owner_key or withdrawal_address, or how this tool relates to siblings like onboard_start; the output schema does not compensate for that missing 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?

Schema description coverage is 100% and the 15 parameters already carry rich, self-explanatory descriptions, including the model-level note that '{} is a valid registration.' The tool description itself contains no parameter guidance, but the schema does the heavy lifting, so the baseline 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 an action and outcome: 'call register on this session to unlock the purchase tools for techlaunchwatch.' However, it never explains that the tool actually registers/onboards an agent and issues an API key, leaving the core purpose to be inferred from the tool name and annotation title. It also does not distinguish register from the sibling onboard_start.

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 concrete precondition and trigger: 'No API key needed — call this now' and 'Free — no wallet needed.' This clearly tells an agent when the tool is appropriate and that no setup is required before calling. It does not, however, discuss when not to use it or mention alternatives such as onboard_start.

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, openWorldHint, idempotentHint, and non-destructive behavior. The description adds beyond that by explaining the tool performs an active on-chain verification and outlining the response payload, including the ABI summary. 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?

A single, tightly packed sentence that front-loads the purpose ('Independently verify...') and then lists outputs efficiently with no filler. Every word contributes value.

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

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

For a zero-parameter, read-only, idempotent tool with an output schema, the description is complete: it tells the agent what action is performed and exactly what data to expect. 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?

Zero parameters means there is no ambiguity to clarify, and the schema already states that the owner is derived from the authenticated principal. According to the baseline for zero-parameter tools, this is fully 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 states a specific verb and resource: 'Independently verify the EscrowVault on-chain.' It enumerates the exact returned information (address, chain id, RPC, explorer link, USDC token, ABI summary), making the tool's function unmistakable and distinct from a generic contract lookup.

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 independently verifying the EscrowVault on-chain, but it does not explicitly mention when to use it versus alternatives like get_agent_contract, nor does it state exclusions or prerequisites. The guidance is reasonable but left to inference.

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