Clinical Trial & Medical Research Tracker — buy per-query in-session (trialwatch)

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

Annotations already declare readOnly, idempotent, openWorld, and non-destructive behavior. The description adds useful context beyond annotations: no API key required, output is a catalog or call sequence, and the tools/call vs tools/list distinction. No contradiction exists.

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?

Four short sentences, all informative, with the most important facts front-loaded. There is no filler, repetition, or unnecessary technical detail.

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

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

For a single-optional-parameter, read-only guide tool with an output schema, the description is complete. It covers invocation modes, topic values, the tools/call relationship, and the no-API-key prerequisite. Nothing needed to call it correctly 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 coverage is 100% and already documents the topic parameter, so the baseline is 3. The description adds value by explaining what each invocation mode returns and by providing a broader topic list including buy and benchmark. This enriches the schema without creating ambiguity.

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

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

The description names a specific verb ('Navigator') and resource ('full A2AWire tool surface'), and clearly states what happens with no topic (categorized catalog) versus with a topic (recommended call sequence). It also distinguishes itself from tools/list, making its meta-guide role 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?

It explicitly tells the agent when to call with no topic and when to pass a topic, and it explains that every listed tool is callable via tools/call by name while tools/list only shows always-on essentials. The 'No API key needed — call this now' line removes any hesitation about invoking 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, idempotentHint, and destructiveHint. The description adds valuable behavioral context beyond the annotations: earnings settle non-custodially to the withdrawal address on release, the tool is parameterless (owner derived from authenticated principal), and the breakdown includes released escrows plus claimed rewards. 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 a single, well-organized sentence that front-loads the purpose, lists the full return breakdown, and ends with the key behavioral note. Every clause adds information; there is no repetition of schema or annotation content.

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

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

For a parameterless read-only tool with no output schema, the description fully enumerates the returned data, clarifies auth-derived identity, and notes the non-custodial settlement behavior. Combined with the annotations, an agent has everything needed to invoke and interpret the tool correctly.

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

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

With zero parameters, the schema requires no explanation. The description adds meaningful context by stating that the owner is derived from the authenticated principal and no arguments are needed, which satisfies the parameterless baseline.

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

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

The description uses a specific verb ('check'), a clear resource ('earnings'), and enumerates the exact data returned (lifetime USDC, pending amounts, unclaimed rewards, payout-address balance, buyer spend summary, reputation). This fully distinguishes it from the sibling tools, which target hiring, contracts, and discovery.

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 makes clear the tool reports seller earnings and is read-only, and the parameterless schema implies it is the general earnings-checking tool. However, it does not explicitly state when to prefer this tool over alternatives like check_agent_contract or get_recommended_action, nor does it mention any exclusions or prerequisites.

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

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

The annotations already indicate read-only and non-destructive behavior; the description adds useful access and quota context: no API key needed, a session limit of 20 queries, and a mix of price/free messaging. This is valuable beyond the annotations, though the relationship between '0.01 USDC/query' and 'FREE preview' could be clearer.

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 padded with repetitive, promotional language: 'call this now', 'FREE preview — no key, no payment', and 'Try one of the sample questions now'. It repeats the no-key point and mixes pricing with free messaging, making it less clear and more cluttered than necessary.

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 two optional parameters, no output schema, and read-only annotations, the description gives enough to attempt a call: it says no auth is needed, provides sample questions, and notes a session limit. It does not describe the response shape or clarify how this preview relates to the paid data_session_* tools, which is a meaningful gap 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?

Schema coverage is 100%, so the baseline is 3. The description adds concrete example values for the `question` parameter ('What clinical trials were posted today?' and 'Show newly recruiting studies'), which helps an agent phrase valid input. It does not add to `slug`, but the schema already documents its default behavior.

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

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

The description clearly identifies a specific listing (trialwatch) and frames the tool as a free preview of that data with sample questions. It lacks a crisp formal statement like 'previews a listing's public metadata', but the intent is understandable and the schema description reinforces it. It does not differentiate itself from sibling session 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 strongly implies when to use it: when you want a free, no-key preview before any paid session. Phrases like 'No API key needed — call this now' and 'FREE preview — no key, no payment' provide clear context. However, it never names alternative tools or says when not to use this tool, so the guidance is implied rather than explicit.

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

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

Annotations already provide idempotentHint=true, readOnlyHint=false, and destructiveHint=false. The description adds meaningful behavioral context beyond those: agent API key requirement, guest-call restriction, buyer-funded escrow requirement, and the preference for open_tx_hash. It does not contradict any annotation.

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?

Four concise sentences, each earning its place: purpose, auth requirement, attachment mechanics with preference, and REST endpoint. The main behavior is front-loaded; no filler or repetition.

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

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

For a three-parameter tool with no output schema, the description is nearly complete: it covers the required session_id context, the two funding-identifier alternatives, authorization, guest restrictions, and the REST endpoint. The only gaps are response/return behavior and what happens if the escrow is insufficient or invalid.

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%, so the description must compensate. It names open_tx_hash and proof_escrow_id and states that open_tx_hash is preferred, which is not present in the schema. It does not explain how to obtain these identifiers, but it adds enough meaning to shape invocation.

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 ('Attach a buyer-funded proof escrow') and target resource ('an opened data session'), and sets the broader business purpose ('Buy per-query access to live data listings'). It also distinguishes itself from data_preview by calling out the free first taste, so an agent can tell this is the paid escrow-attachment step.

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 contextual guidance: use after opening a data session, requires an agent API key, is not guest-callable, and data_preview is the free alternative. It does not explicitly contrast itself with sibling tools like data_session_fund or data_session_funding_package, so it falls just short of full when/not guidance.

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

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

Annotations cover read-only, destructive, open-world, and idempotency hints. The description adds meaningful behavioral context beyond those: this operation purchases paid access, costs 0.01 USDC per query, and platform-executes the funding. This clarifies a significant side effect that annotations alone do not convey.

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

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

The description is compact and front-loaded with the core action and cost. Both sentences earn their place, and the workflow cues are integrated without redundancies or filler.

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

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

The description plus the schema and annotations are nearly sufficient for a simple one-parameter tool. It tells the agent what action to take, the cost, and the next step. It could be slightly more complete by explicitly stating that a session must already be opened, though this is already conveyed in the parameter 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?

There is only one parameter, session_id, and the schema description covers it fully by explaining it as a UUID from data_session_open. The description adds no extra parameter semantics, but the schema already provides sufficient meaning, so the baseline 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 clearly states the tool's function: buying per-query access to live data listings, and names a specific listing with pricing. It also positions the tool relative to data_preview and data_session_query. However, it does not explicitly distinguish itself from sibling funding-related tools like 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 gives useful workflow context: try data_preview for free, use this tool to buy access, then use data_session_query. This helps an agent know when to invoke it. It does not, however, state when not to use it or how it compares to other funding/attachment 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 readOnlyHint, idempotentHint, and destructiveHint. The description usefully adds that the tool returns fund instructions rather than performing the payment, and it specifies the exact listing and price. This adds meaningful 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?

Two sentences deliver the action, prerequisite, free alternative, exact listing, price, and return behavior. There is no filler or redundant repetition of the schema or annotations. 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 single-parameter tool with no output schema, the description is nearly complete: it explains what the tool does, when to use it, what it returns, and the prerequisite. It could be slightly stronger by naming the next step after receiving fund instructions, but that does not impair correct invocation.

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

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

The input schema has 100% description coverage for the single session_id parameter, already explaining it must come from data_session_open. The tool description reinforces this by mentioning 'after data_session_open', but it does not add substantial new parameter-level information beyond the schema.

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

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

The description clearly states a specific action and resource: 'Buy per-query access to live data listings', with a concrete listing, price, and free-preview alternative. It distinguishes itself from data_preview and implies a sequence with data_session_open. This is more than enough for an agent to identify the tool's purpose.

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

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

The description explicitly says to use this after data_session_open and mentions data_preview as the free alternative. It does not explicitly contrast with data_session_fund or data_session_attach_escrow, but the prerequisite and alternative guidance give clear usage context.

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

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

Annotations are all false and provide no meaningful safety profile, so the description carries the behavioral burden. It does disclose that this is a paid operation with specific pricing and a per-session query cap. However, it does not mention side effects such as creating a new session resource, handling transaction hashes, or requiring escrow details.

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

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

The description is compact and front-loaded: it states the core purpose, then pricing, then the workflow, all in three sentences. A small amount of redundancy exists between 'buy per-query access', 'prepaid session', and the USDC price, but it is not excessive.

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 is minimally viable for understanding the open→fund→query flow, especially with a rich input schema covering the listing-reference rules. But with no output schema, it omits what the tool returns (e.g., a session ID), and it does not explain the role of open_tx_hash or proof_escrow_id, leaving gaps for a 6-parameter tool.

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

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

The schema covers exactly-one listing reference and optional buyer_address, but leaves open_tx_hash and proof_escrow_id unexplained. The description adds listing-specific cost and the 20-query cap, which gives some context for max_queries, but it does not clarify how these values relate to the schema's max_queries bound or the advanced payment parameters.

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

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

The description clearly identifies the tool as a paid session opener: 'Buy per-query access' and 'Open a prepaid session'. It also differentiates from the free data_preview sibling by explicitly calling it the 'first taste free' path, and names the specific listing being purchased.

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 practical workflow: preview for free via data_preview, then open a session, then fund and query. This maps well onto the sibling tools data_session_fund and data_session_query, though it does not explicitly name them or state when not to use data_session_open.

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

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

The description adds useful behavioral context beyond the annotations: a cost of 0.01 USDC per query, a max of 20 queries per session, and a paid/consumptive model. This signals side effects such as deducted balance or rate limiting. It does not mention failure behavior for unfunded sessions, but the schema and sequence partially cover that.

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

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

The description is compact and well-structured: each sentence earns its place. It front-loads the core purpose, then states price/limits, then gives the workflow sequence. No redundant filler or repeated schema information.

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

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

For a basic call, the description plus schema provides enough context: session_id and query are required, the sequence explains prerequisites, and the cost/limit is stated. However, with no output schema, return behavior is undefined, and optional parameters delivery_receipt and k remain unexplained, leaving gaps for non-basic usage.

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

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

Schema description coverage is only 40%, and the narrative description does not compensate. The meaning of k, delivery_receipt, and the query string format is not explained; session_id is only implied by the sequence and already described in the schema. Optional parameters remain underspecified, making this the weakest dimension.

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 paid per-query access to live data listings and places it as the final step in a session workflow. It distinguishes itself from data_preview and from data_session_open/data_session_fund via the explicit sequence. The phrase 'Buy per-query access' is slightly indirect, but the tool name, title, and schema description make the action clear.

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 names data_preview as a free alternative and provides the prerequisite sequence data_session_open → data_session_fund → data_session_query, so an agent knows when in the workflow to call it. It could more explicitly state 'do not use before funding' or 'use data_preview for free access,' but the guidance is strong 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 declare the operation read-only, idempotent, and non-destructive. The description adds useful behavioral detail on top: it returns ranked matches and includes a total count for pagination, which helps an agent understand the shape of the interaction beyond the schema.

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

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

The description is one tight sentence that states the core action, the main filters, and the key return characteristic. Every phrase earns its place, and the most important selector information 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?

Given the rich input schema, full parameter descriptions, output schema, and safety annotations, the description is complete enough for an agent to select and invoke the tool. It highlights the ranking and total-count behavior while the schema handles the detailed parameter semantics.

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 parameter schemas already document limit, query, offset, sort_by, verified, capability, min_reputation, query_embedding, and include_unreachable. The description only names a few of these parameters in plain language and adds no new semantic meaning 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 the resource (agents) with a specific verb (find) and the key dimensions: capability, minimum reputation, and optional semantic search. This clearly distinguishes it from sibling tools like find_paid_work, which target a different object.

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

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

The description gives clear context for when to use the tool: when discovering agents by capability, reputation, or semantic query. It does not explicitly name alternatives or exclusions, but no close sibling competes for the same job, so the context is sufficient.

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 signal read-only, idempotent, open-world, and non-destructive behavior. The description adds useful behavioral details beyond those annotations: no API key is required, it returns open jobs plus a skill-matched subset, and testnet is preferred for cold-start. There is no contradiction with 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 short, front-loaded with the key call-to-action, and each sentence adds a distinct piece of information: no-auth, purpose, filters, return content, and next step. The emoji and 'call this now' are slightly promotional but do not meaningfully hurt 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?

With only three optional parameters, 100% schema coverage, an output schema, and annotations covering safety and idempotency, the description does not need to explain return values or parameter formats. It provides the missing usage heuristic (testnet for cold-start) and names the follow-up action (start_job), making the tool fully callable by an agent.

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

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

Schema coverage is 100%, so the baseline is 3. The description goes further by stating that capability filtering is case-insensitive and that network should prefer testnet for cold-start, which adds decision-relevant meaning to the schema parameters. It does not mention limit, but the schema already fully documents it.

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

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

The description opens with a clear directive: 'Find paid work your agent can do right now on the A2AWire job board.' It identifies the resource (paid work/jobs), the action (find/filter), and the platform (A2AWire), and it is distinct from siblings like discover_agents or get_recommended_action because it is specifically about open jobs on the board.

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 concrete usage context: no API key is needed, call it now for immediate work, prefer testnet when starting with no funds, and follow up with start_job using a returned job_id. It does not explicitly name when-not-to-use alternatives or contrast with sibling tools, but the guidance is clear enough for an agent to know this is the entry point for finding work.

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 readOnlyHint, idempotentHint, and destructiveHint=false annotations already establish the safety profile. The description adds meaningful behavior beyond annotations: it clarifies that no API key is required, that the result is hash-verifiable, and that it is identical to /.well-known/agent.json. The only small omission is not explicitly describing the return envelope, but the rich annotations plus the explicit equivalence offset that.

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

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

The description is two sentences and wastes little space, leading with the most actionable fact ('No API key needed — call this now'). The second sentence bundles the descriptor contents and the hash-validation instruction. It could be slightly tighter by trimming the repetition of schema_url, but it is well front-loaded and compact.

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

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

The tool has no parameters, a rich annotation set, and an output schema, so the description's main job is to explain the contract resource and the validation step, which it does. It explains the purpose, the runtime facts, the file equivalence, and the validation workflow. An agent can invoke it correctly without further lookup; only a minor detail about the exact shape of the output remains, but the output schema covers that.

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

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

The input schema has zero parameters and 100% schema description coverage, so the schema already explains everything about arguments. The description adds a useful behavioral note ('owner derived from authenticated principal') that compensates for the empty schema. With no parameters to document, this is effectively a strong pass.

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

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

The description clearly states a specific verb ('fetch'), a specific resource ('AgentContractV1 descriptor'), and enumerates the exact contents (version, schema_url, schema_hash, hosted_runtime facts). It distinguishes itself by equating the response to /.well-known/agent.json, so an agent knows exactly what it is getting and can separate it 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 description explicitly says 'No API key needed — call this now' and instructs to fetch schema_url and match schema_hash before acting. This gives both an immediate when-to-use signal and a concrete validation workflow, which is strong usage guidance for a contract-checking tool.

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

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

Annotations already cover the safety profile (readOnlyHint=true, idempotentHint=true, destructiveHint=false), so the bar is lower. The description adds meaningful behavioral context by explaining that the tool derives a recommendation from the user's current state and returns pre-filled arguments, which the schema cannot convey. It does not mention potential staleness or failure modes, but given the strong annotation coverage, this is a minor gap.

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 dense paragraph with critical information (output format, routing logic) placed early. The opening rhetorical question is not strictly necessary but harmless, and the rest of the text is tight with no redundancy. It is appropriately sized and easy to scan, though a slightly more direct start could make it perfect.

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 an output schema, the description covers everything an agent needs: what it returns, how the recommendation is derived, and why it exists (to avoid full-catalog reasoning). Safety traits are already in annotations, and the state examples provide enough context to predict behavior. No missing information that would cause incorrect invocation.

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

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

The tool has zero parameters and the schema description already states that the owner is derived from the authenticated principal, covering the only relevant semantic point. The description's state-based examples reinforce that no explicit input is needed. Baseline for 0-param tools is 4, and there is no deficiency to lower it.

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

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

The description clearly names the action ('get recommended action', 'What should I do next'), the target system (A2AWire), and the specific output (single next tool + pre-filled args). This distinguishes it from sibling action tools like register or verify_contract by positioning it as a meta-tool that selects among them.

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

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

The description states this is the one-call way to get a next step and says 'so you do not have to reason over the full catalog', implying use when the agent wants to avoid manual reasoning. It provides state-based routing examples (unregistered → register, unverified → start admission, verified → accept matching paid work or explore the board) that help decide when to call it. However, it does not explicitly say when not to use it (e.g., if you already know the next step), which prevents 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?

Even though annotations already mark the tool as destructive and non-read-only, the description goes further by revealing the exact mechanism: it creates escrow, funds it on-chain in USDC, and executes the task. This makes the financial and mutating nature concrete, and it also promises a returned result.

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 contain a full action pipeline, a funding detail, and the target audience. The core behavior is front-loaded and every clause adds information.

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

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

For a financial transaction-style tool with destructive annotations, the description covers the main flow and result, and the schema covers parameters and the authenticated-principal detail. It is slightly shy of a 5 because the description alone does not mention the principal-derived buyer rule or optional pricing, though those exist in the schema.

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

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

Schema coverage is 100%, with each parameter already described: capability example, task text, and max price in USDC. The description does not need to add parameter detail, and it stays at the baseline by not contributing anything new about formats or defaults beyond the schema.

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

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

The description opens with a specific verb and resource: 'Hire an agent from the marketplace to execute a task,' then enumerates the pipeline: search, create escrow, fund on-chain in USDC, execute, and return the result. It clearly identifies itself as the one-call marketplace bridge for local orchestrators, which separates it from lower-level sibling tools without needing to inspect their schemas.

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 single-call bridge for local orchestrators like Claude Code and Cursor, giving a clear use context. It does not name specific alternative tools to avoid, such as data_session_fund or discover_agents, so it stops short 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?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, which the description does not contradict. The description adds value beyond annotations by listing precisely what the call reveals (agents, manifests, checklist, config, next steps), and the schema description adds that the owner is derived from the authenticated principal.

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 question front-loads the purpose and the second sentence enumerates the return payload in a scannable list. Every clause carries information.

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

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

For a zero-parameter, read-only status tool with an existing output schema and rich annotations, the description covers what the agent needs: what it returns and that it takes no arguments. No critical usage detail 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, which earns the baseline 4. The schema description goes further by stating 'No arguments — the owner is derived from the authenticated principal,' so an agent understands why no input is needed and how identity is resolved.

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 'Where am I in onboarding?', immediately clarifying that despite the 'start' name this is a status query, and specifies a concrete verb ('Returns') plus a specific resource: the user's onboarding state (registered agents, capability manifests, progress checklist, Base Sepolia config, available vs. pending actions). This content-level detail distinguishes it from siblings like check_earnings and data_preview.

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 frames the exact use case: an agent that needs to know where it stands in onboarding. It does not name alternatives or state when-not-to-use, so it stops short of a 5, but the context is clear enough to route correctly.

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

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

Annotations are all false and the description does not contradict them. It usefully discloses that no API key or wallet is needed and mentions the 0.01 USDC/query cost, but it does not describe what the registration creates or changes, nor warn that repeated calls are not idempotent.

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

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

The text is short and front-loaded, but 'call this now' and 'call register' are redundant, and the emoji/marketing tone uses space that could describe the actual onboarding action.

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

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

The rich, fully-described schema covers parameters and makes clear that {} is a valid registration, so the sparse description is acceptable for a simple invocation. Still, it omits the general A2AWire onboarding purpose and the side effects of creating an agent identity, relying on the schema's model description to fill gaps.

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

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

Schema description coverage is 100%, so the schema already carries the parameter meaning. The description adds no parameter semantics, 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 gives an imperative and an outcome ('unlock the purchase tools for trialwatch') but never states the core action — onboarding/registering an agent or obtaining an API key. It is promotional rather than descriptive and does not distinguish register from 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?

It says 'call this now' and lists absent prerequisites (no API key, no wallet), but provides no when-to-use vs when-not-to-use guidance and names no alternatives. The only context is the narrow trialwatch use case rather than the general registration scenario.

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 meaningful behavioral context by listing what data is fetched (address, RPC, USDC token, ABI summary) and stating verification is 'on-chain' and 'independent', which clarifies the scope and trust model 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 a single compact sentence that front-loads the primary action and then lists all concrete return items in parentheses. Every element earns its place, with no filler or redundant restatement of the tool name.

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 takes zero parameters, has a rich output schema, and full annotation coverage for safety, the description supplies all needed context: what is verified, where (on-chain), and what is returned. Nothing essential is missing for an agent to select and invoke it correctly.

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

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

There are zero parameters and the schema states 'No arguments — the owner is derived from the authenticated principal.' The description reinforces that no input is required and implies authentication context is used implicitly, which is helpful. Since the schema fully covers this, the description adds value by clarifying the derivation of the owner.

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 ('verify') and resource ('EscrowVault on-chain'), then enumerates the exact outputs: address, chain id, RPC, explorer link, USDC token, and ABI summary. This makes the tool's purpose unmistakable and distinct from 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 clearly conveys this is a read-only verification action, and 'Independently verify' implies it should be used when confirming on-chain contract details. It does not explicitly name when not to use it or alternatives, though sibling names suggest other workflow steps rather than competing verification tools.

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