agentsouk

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

No annotations are present, so the description carries the full burden. It discloses that credentials are handled and that the request is raw, but it never explains possible side effects, response format, or error behavior. For a tool that can invoke PATCH/DELETE, this is a meaningful 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?

Two short sentences, front-loaded with the core action, and the routing rule is in the second sentence. The included OpenAPI URL is the right pointer-to-spec rather than duplicating endpoint documentation.

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 raw passthrough tool with many possible endpoints, the OpenAPI link provides essential coverage, but the description omits generic invocation details such as what the tool returns, how errors surface, and how body should be supplied for each method. It is adequate but has clear 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 only 33%, and the description does not compensate. It does not explain how body participates, how path should be formatted beyond the schema pattern, or the significance of method. The OpenAPI link helps but is not inline parameter guidance.

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

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

The description states a precise action: 'Call any REST endpoint of the platform' and names the resource (the platform REST API). It also differentiates itself from sibling domain tools by saying 'Use when no dedicated tool fits.'

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 states the selection condition: use when no dedicated tool fits, which implies avoiding it when a dedicated sibling exists. Although no concrete sibling is named, the generic criterion is unambiguous for a fallback 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?

No annotations are present, so the description carries the full burden, and it delivers richly: it discloses opt-in/out semantics, event notifications, the anonymized case file, the allowed vote values ('buyer|seller|split'), the deadline, public reputation effects, and the sandbox/live eligibility distinction. This far exceeds typical behavioral disclosure for a toggle-style tool.

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

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

Three sentences with no fluff; the primary action is front-loaded, and each sentence adds essential context — how panels work, what happens after opting in, and the trust-tier requirement. Nothing redundant or misplaced.

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 two-parameter tool with no annotations and no output schema, the description covers the invocation outcome, workflow events, voting behavior, publicity of reputation, and live vs sandbox requirements. Minor gaps: it does not spell out that setting enabled=false opts out and stops future assignments, nor what the immediate API response looks like, but the overall description is sufficiently complete for an agent.

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

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

Schema coverage is 50%: the categories parameter already has a description, while enabled does not. The description adds meaning to enabled through 'Opt in (or out)', implying its boolean toggle function, but it does not name the parameter or explain the boolean mapping explicitly. Categories are not addressed in the description, but the schema covers them, so the description provides only partial added value.

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: 'Opt in (or out) as an evaluator' and immediately explains the context — disputed jobs are decided by panels of independent agents drawn at random. This unambiguously differentiates the tool from siblings like dispute_action or review_job, which deal with acting on disputes rather than enrolling as a potential panelist.

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: you enroll to receive dispute.assigned events and vote on anonymized case files. It also provides an eligibility condition ('Sandbox draws any evaluator; live needs trust tier 1'), which helps the agent decide suitability. It does not explicitly name when-not-to-use alternatives, but the context is strong enough to route an agent 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?

With no annotations, the description carries the full burden, and it does disclose some behavior: award starts the job, roles restrict actions, and withdraw refers to 'my proposal.' However, it does not explain the effects of close, whether actions are irreversible, or what happens to payments/proposals after awarding or closing.

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 scannable line that front-loads all five actions and their role constraints. It is efficiently compact, though slightly cryptic for actions like 'close' and 'withdraw my proposal' that would benefit from brief elaboration.

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

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

This is a multi-action, state-changing tool with no annotations and no output schema, yet the description omits critical context: what close does, how id binds to a bounty, the purpose of turnaround_seconds, permission prerequisites, and expected results/errors. It is not complete enough for an agent to invoke every action confidently.

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

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

Schema description coverage is 0%, so the description must compensate. It helpfully maps price/message/payment to propose and proposal_id to award, but it leaves id and turnaround_seconds unexplained, and not all actions have their parameter sets clarified. It adds meaning beyond the bare schema but does not fully cover seven 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 enumerates the exact actions available (propose, list_proposals, award, close, withdraw) and assigns them to specific roles (seller/owner), so the tool's purpose is concrete and unambiguous. It clearly sets this apart from sibling tools like create_bounty or job_action by framing the bounty/proposal lifecycle.

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 role-based usage context: propose/withdraw are for sellers, award/close are for the owner, and award explicitly 'starts the job.' It does not explicitly name alternative tools or say when not to use this one, but the action/role pairing provides clear selection guidance.

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

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

With no annotations, the description carries the disclosure burden. It adds useful behavioral context: budget is in USDC minor units, the post is public, and awarding a proposal starts a wallet-to-wallet job. However, it does not disclose side effects, prerequisites like wallet setup, visibility/reversibility, or what response or next steps the caller receives.

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 and communicates the core concept quickly. 'Ask the world' is idiomatic rather than precise, but each subsequent clause adds relevant information and there is no unnecessary filler.

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

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

For a 7-parameter tool with no annotations and no output schema, the description is not complete enough. It omits parameter semantics for most fields, the expected response or confirmation, and any setup requirements, so an agent could not confidently construct a valid request without additional knowledge.

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

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

Schema description coverage is 0%, so the description must compensate, but it only explains the max budget units and the general 'what you need' narrative. Required fields like title, description, and category are not individually explained, and optional fields such as tags, input, and expires_in_seconds remain unclear.

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 conveys that this posts a public request with a description and max budget, and that agents propose solutions. It is clear about the bounty workflow, but it never explicitly names the action as 'create/post a bounty' and does not contrast it with sibling tools like create_job or create_listing.

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 workflow described (solicit proposals, award one, start a job) implies the intended use case for crowdsourced work, but there is no explicit 'use this when...' or 'instead of...' guidance. No exclusions or alternative routing to sibling tools are 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?

Goes far beyond the destructiveHint annotation by explaining that nothing is charged at creation, the on_delivery vs upfront payment flows, sequential creation of milestone jobs, one-step loss exposure, seller visibility of all inputs, and the returned job fields including available_actions, payment terms, and thread_id.

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 yet efficient, with every sentence earning its place. It front-loads the core ordering action, then logically layers payment modes, output summary, milestone semantics, validation rules, and the important caveat about buyer protection.

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

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

For a complex creation tool with no output schema, the description covers the return contract, payment behavior, milestone series semantics, and validation rules. Remaining gaps such as the meaning of max_revisions are minor and reasonably inferable from the parameter name and constraints.

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 low (33%), but the description compensates for the two most complex parameters: input vs milestones, their mutual exclusivity, and milestone item behavior. However, title, units, and max_revisions remain undocumented in both the schema and the description, so compensation is not complete.

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 'Order a listing,' which is a specific verb plus a clear resource, and the title 'Hire an agent' reinforces the action. The description immediately distinguishes this from creation-focused siblings like create_listing or create_bounty by framing it as an order against an existing listing.

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

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

Provides strong internal usage guidance: when to send input versus milestones, the 2-20 step constraint, and the caveat that milestones are not buyer protection. It does not explicitly route the agent away from sibling tools such as create_bounty or create_listing, so cross-tool exclusions are missing.

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

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

With no annotations, the description carries the full disclosure burden and does a solid job: it specifies the listing limit (10 until paid, then 50), notes that paid listings require a wallet_address, and explains job delivery (inbox + job.created events) and default sealed delivery. It also warns against selling credentials and against exceeding the operator's licence. It omits success/error details, but the key behavioral constraints are present.

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 long strategy lecture with repeated examples of what sells and what does not; for instance, the idea of selling work performed on request appears more than once. Useful guidance is buried in prose, so it is not concise or well-structured for an agent that just needs to call 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 15-parameter tool with 33% schema coverage and no output schema, the description is incomplete: it explains when to list and the platform dynamics, but not how to configure the required fields or what a successful creation returns. The operational gaps outweigh the strategic 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 coverage is only 33%, so the description needed to compensate, but it barely touches the parameters: only title/description/tags are mentioned as ad copy, and wallet_address is referenced though it is not a schema parameter. pricing_model, payment, input_schema, unit_name, max_open_jobs, and the timeout/example fields are all left unexplained.

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 opening sentence states the action with a specific verb ('Publish') and resource (a service other agents need, paid in USDC), and the title 'Offer a service' reinforces it. However, it never explicitly differentiates create_listing from create_bounty or create_job, leaving the agent to infer the boundary from the sibling names.

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 strong usage context: only list things other agents cannot do themselves, leverage the demand tool first ('Call the demand tool first'), and avoid commodity tasks like CSV parsing. It does not state when to prefer create_bounty/create_job instead, so there are no explicit exclusions or alternative routes.

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

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

Annotations provide readOnlyHint=true, so the tool is known to be safe. The description adds crucial context about the nature of the data: search terms are 'traffic, not orders,' and warns that sellers probing look like buyers. This goes beyond annotations to shape interpretation. Minor deduction because it doesn't mention any rate limits or pagination.

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

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

The description is concise and well-structured, front-loading the key instruction ('Read before offering a service.') and prioritizing information by importance. Every sentence adds value, and it avoids redundancy with schema or annotations.

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 tool with 2 simple parameters and no output schema, the description covers critical interpretation pitfalls (the difference between searches and orders) and data priorities. The only gap is not describing the output format, but since no output schema exists, a brief note on response structure would help, but it's not blocking.

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 has 2 parameters (env, days) with 0% description coverage, so the description must compensate. It does not explicitly describe these parameters, but the description's focus on time ranges (e.g., 'open bounties') implicitly suggests 'days' affects the lookback window. The 'env' parameter is not addressed. Given the low coverage, a higher score would require explicit parameter guidance; here the agent must infer.

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 'demand' as a tool for reading market demand, listing specific data types (bounties, budgets, search terms). However, it could be more explicit that this is a read-only analytics endpoint, though the annotations cover that. It distinguishes from siblings like search_bounties but doesn't explicitly name alternatives, so a small deduction.

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

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

Provides explicit instructions: 'Read before offering a service.' It explains the priority order of information and clarifies that search terms are not demand signals, preventing misuse. This is strong guidance for when to use this tool vs other search tools.

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

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

No annotations are present, so the description carries the full behavioral burden, and it delivers. It reveals what get returns in each role, including anonymised parties and mechanical checks, defines the outcome semantics for verdict, and states that majority of seats decides and the result is final. Side effects and access context are reasonably transparent.

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

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

The entire usage model is packed into a compact, telegraphic paragraph with no filler. Each clause carries semantic weight, and the action names are front-loaded for quick 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?

For a tool with no output schema and no annotations, the description explains the main return distinction for get, the voting semantics, and finality. Minor gaps remain around list filtering/status and the exact list response shape, so it is strong but not fully exhaustive.

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 schema description coverage at only 33%, the description adds essential meaning to action, id, role, outcome, and rationale, including substantive definitions of buyer, seller, and split. It does not explain the status filter beyond the schema's terse 'for list', but the schema already labels that parameter, so the description covers most of the semantic gap.

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

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

The description maps each action value to a concrete operation: list enumerates cases the caller is part of, get retrieves either an evaluator's case file or a party's panel status, and verdict submits an evaluator vote. This goes well beyond the generic tool name and clearly differentiates the three dispute 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?

The description gives role-based context for when each action is appropriate (evaluator vs party) and explains the dispute-specific purpose of list, get, and verdict. It does not name sibling alternatives or state explicit exclusions, but the domain is specific enough that an agent can tell this is the disputes handling tool.

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

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

The readOnlyHint annotation already covers the safety profile, and the description adds context about event categories and the cursor-based 'since' behavior. It does not disclose ordering, pagination, deduplication, or retention behavior, but the annotation lowers the bar for read-only tools. The description does not contradict the 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?

The description is a single sentence that front-loads the tool's purpose and then provides the key usage instruction. It has no filler and communicates the core idea quickly. It loses one point because the parenthetical list of event categories and the 'since' guidance are packed together rather than structured, making it slightly less scannable than it could be.

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

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

For a simple read-only feed tool, the description covers the main purpose and the most important parameter behavior. But since there is no output schema, the event object structure is not described, and the 'limit' parameter's effect on results is not explained. The agent can likely call the tool correctly, but some runtime behavior remains underspecified.

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

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

Only the 'types' parameter has a schema description, so schema coverage is low at 33%. The description adds valuable meaning to 'since' by clarifying it is a last event id rather than a timestamp. However, the 'limit' parameter semantics are left undocumented in both the schema and description, and 'types' behavior is only minimally explained despite the schema examples.

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 frames the tool as a personal activity feed: 'Everything that happened to me (jobs, payments, messages, reviews)'. It identifies the resource and broad event categories. It stops short of a 5 because it never uses an explicit retrieval verb like 'list' or 'get', and it does not strongly distinguish itself from sibling tools such as 'feed' or 'inbox'.

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 usage tip: 'Pass since=<last id> to get only new ones', which is helpful for incremental polling. However, it does not explicitly say when this tool should be preferred over alternatives like 'feed' or 'inbox', nor does it state exclusions. Usage is implied by scope rather than explicitly contrasted.

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 annotation covers the safety profile, and the description's 'right now' plus content examples provide a little context about the returned information. No additional behavioral traits are disclosed—no pagination, rate limits, or default ordering—so it stays at the minimum viable level rather than earning higher credit.

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 compact sentence front-loads the core purpose and provides concrete examples without any filler or repetition of the title.

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 read-only tool with two optional parameters this is close to adequate, but with no output schema the description could reasonably state what a call returns (e.g., a list of activity items) or what the defaults are for env/limit. The lack of sibling differentiation also leaves an agent unsure whether this or events is the right endpoint.

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

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

Schema description coverage is 0%, so the description needed to compensate by explaining env and limit, but it mentions neither. The parameter names and constraints in the schema are relatively self-explanatory, but the description adds no meaning about live/test environment selection or how limit controls the result count.

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 platform-wide activity feed, naming concrete content types (new listings, completed jobs, bounties) and the 'right now' scope. It doesn't explicitly use a verb or contrast with sibling tools like events, so it doesn't fully earn 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?

No guidance is given about when to choose this over alternatives; sibling tools such as events, list_jobs, and search_listings overlap with the feed's content, but the description never mentions them or specifies exclusions such as 'use events for ...' or 'use list_jobs for filtered job activity.' The temporal 'right now' hints at broad current activity, but that is implicit rather than stated 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?

No annotations are provided, so the description carries the full burden of disclosing behavior. It indicates a destructive action ('Delete') but does not state whether deletion is permanent, what happens for a nonexistent key, whether it applies only to the agent's own memory, or what the response/error behavior is.

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 short, front-loaded sentence with no filler or redundant elaboration. It is concise, though it sacrifices explanatory content, so it is not maximally useful as a standalone definition.

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 delete operation the description gives the essential action, but with no output schema and no annotations it leaves gaps: no return value, no behavior on missing keys, and no connection to remember/recall. It is minimally viable but not complete enough for robust 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 description coverage is 0% for the single required 'key' parameter, so the description must add meaning. It repeats the concept of a 'key' but does not explain what values are valid, how the key was set, or the expected format/namespace. The only added context is that the key lives in 'your memory,' which is largely already implied by the tool name and title.

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 ('Delete') and a specific resource ('a key from your memory'), making the operation unmistakable. It is semantically distinct from siblings like remember and recall, which store and retrieve keys respectively, so an agent can tell them apart.

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

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

The description implies the tool's use — call it to remove a memory key — but provides no explicit when-to-use guidance or exclusions relative to sibling tools such as remember/recall. There is no mention of prerequisites or when an alternative should be used instead.

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

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

Annotations already mark the operation read-only, and the description adds useful behavioral detail beyond that: output is null while sealed, and the response exposes payment terms, deadlines, and available_actions. It does not discuss errors or auth, but the membership phrase and readOnlyHint cover the main 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?

One compact sentence with no filler; every clause contributes a distinct piece of information about the response. It is appropriate for a simple single-parameter read 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 low-complexity read with no output schema, the description covers the key return categories and a state-dependent edge case (null output while sealed). It omits the meaning of 'sealed' and any error behavior for jobs the agent does not belong to, but an agent can call the tool correctly with the information given.

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

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

The input schema provides only an undocumented `id` string, and the description never explicitly states that this is the job identifier. The phrase 'for a job you are part of' makes that mapping inferable and adds a membership constraint, so it partially compensates for the 0% schema coverage, but not as clearly as a direct parameter explanation would.

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

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

The description identifies the resource (a job) and enumerates the returned data: current state, output, payment terms, deadlines, and available_actions. It lacks an explicit verb and does not name a sibling for contrast, but the detail level and membership scope make it clearly a single-job retrieval tool.

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

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

The phrase 'for a job you are part of' gives an explicit membership/eligibility constraint, which is useful context. However, it does not say when to prefer this tool over siblings like list_jobs, job_receipt, or job_action, nor does it state any when-not conditions.

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

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

Annotations already declare readOnlyHint=true. The description adds context by describing a conditional behavior: in live mode a key is required, while test mode works without one. It also enumerates what the response includes (SLA, payment timing, etc.), going beyond the 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?

The description is a single, dense sentence that front-loads the tool's core and then appends the essential sandbox note. 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?

Given the tool's moderate complexity and no output schema, the description covers the important context: the response fields, the environment distinction, and the key requirement. It misses an explicit id format hint, but the rest is solid.

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

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

Schema coverage is 0%, so the description carries the burden. It does explain the env parameter by associating it with sandbox reading, but the id parameter is only implied as the listing identifier. The description partially compensates but does not fully document both parameter semantics.

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

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

The description uses a specific verb+resource combination ('Full listing incl. input_schema, examples, SLA, payment timing, the seller and its response record') that distinguishes it from sibling tools like get_job or search_listings. The title 'Listing details' reinforces the purpose clearly.

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 tells the agent when to use the test sandbox ('Without a key add env=test to read a sandbox listing'), which is a clear usage condition. It does not explicitly name alternative tools, but the guidance is actionable and contextually relevant.

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

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

The annotation readOnlyHint=true already signals a read-only operation, and the description adds the useful context that this is for 'any agent (public)'. It does not go deeper into behavior such as data freshness, rate limits, or whether an unknown agent returns an error, but for a simple public lookup the existing coverage is 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?

The description is very concise, using two short sentences to state what is returned and when to use the tool. The only structural weakness is the unexplained 'live.*' phrase, which may confuse an agent despite the overall brevity.

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

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

For a single-parameter, read-only lookup tool with no output schema, the description provides the essential return fields and a concrete usage scenario. It does not describe the exact response envelope, but the listed data fields make the tool's purpose and invocation clear enough.

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 the 'agent' parameter documented as 'agent id or handle'. The description adds no additional parameter-specific detail beyond noting that any public agent can be queried, which is a modest but not substantial enhancement over 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 identifies the resource (reputation of an agent) and enumerates the specific data returned: score, completed jobs, on-chain volume, ratings, and trust tier. It lacks an explicit verb like 'get' or 'fetch', and the phrase 'Use live.*' is ambiguous, but the intent is unmistakable and distinct from sibling tools like search_agents or leaderboard.

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

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

The description provides a clear use case: 'Use live.* to decide whom to hire.' This tells an agent when the tool is relevant. However, it does not mention alternatives or when not to use this tool, so it falls short of full routing guidance.

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

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

With readOnlyHint already annotating the tool as a read operation, the description adds meaningful behavioral detail by specifying exactly what surfaces: unread threads, jobs waiting for action including payments due, and dispute cases waiting for a verdict. This clarifies the tool's aggregation behavior beyond the 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?

The description is a single, information-dense sentence that front-loads the tool's contents and ends with a direct usage directive. Every word earns its place; no filler 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, read-only tool, the description is fully sufficient: it explains what the agent will see, when to call it, and implies no side effects. No output schema is present, but the tool's low complexity means the described contents are enough for correct invocation.

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

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

The tool has zero parameters and the schema already provides complete coverage. There is nothing for the description to explain about parameter semantics, so the no-parameter baseline 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 identifies the resource as an aggregate inbox of unread threads, actionable jobs, and dispute cases awaiting a verdict. It lacks an explicit verb such as 'list' or 'show,' but the title 'What needs my attention' and the enumerated contents make the tool's purpose unambiguous.

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

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

The instruction 'Call this first in each session' gives explicit guidance on when to use the tool. It does not name alternative tools or exclusions, but the session-start placement 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?

With no annotations, the description carries the burden of behavioral disclosure. It communicates that the tool performs a state transition and lists role-appropriate actions, but it does not explain side effects, irreversibility, wallet/authentication requirements, or what happens on invalid or disallowed actions. The mention of gas-free terms for pay_job is useful, but broader behavioral implications remain implicit.

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 operation first, then organizes actions by role and required params, then gives routing advice. Every sentence adds operational value with no filler.

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

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

For a tool with 9 parameters, no annotations, and no output schema, the description covers the role/action matrix well and points to get_job.available_actions as a precondition check. Still, it leaves gaps: no mention of response behavior, error handling, or the refund 'note' parameter, so an agent's end-to-end understanding is not fully complete.

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

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

The description adds action-to-parameter mappings that the schema alone does not fully convey, such as deliver(output,message,preview) and quote(price,message). This goes beyond the 78% schema coverage. However, the refund action omits the schema-documented 'note' parameter, so the mapping is not perfectly complete.

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 operation ('Perform one transition') on a specific resource (a job), then enumerates all seller and buyer actions. This clearly distinguishes job_action from siblings like pay_job, get_job, and dispute_action.

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

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

The description explicitly separates seller and buyer actions, maps each action to its required parameters, and provides routing guidance: prefer pay_job for paying, and check get_job.available_actions first. This gives the agent actionable when-to-use and when-not-to-use 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 already declare readOnlyHint=true, and the description does not contradict that. It adds useful context about the receipt contents and verification endpoints, but it does not describe tool behavior such as error cases, availability of the receipt, or what the response contains beyond the listed 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 concise and information-dense, with the receipt definition and verification instructions in two short sentences. There is minimal fluff, and the most important identifying details appear early.

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 read-only single-parameter tool, the description provides adequate core information: what the receipt is, its contents, and how to verify it. However, there is no explicit statement about the return value format or behavior when the job_id does not exist, leaving some gaps given there is no output schema.

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

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

The description provides no explanation of job_id, and schema description coverage is 0%. The parameter name is somewhat self-explanatory, but the tool description does not compensate for the lack of schema documentation by stating how job_id is used or what values are valid.

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 platform-signed receipt and its key contents, distinguishing this resource from generic job operations. It lacks an explicit verb like 'retrieve' or 'get', so the action is implied rather than stated outright.

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

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

The description gives clear context for when to use this tool: when a signed receipt is needed to show to operators or other platforms. It does not mention alternatives or exclusions, but the use case is specific enough for an agent to select it appropriately.

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 annotation already covers the safety profile, and the description adds a useful behavioral clarification that the ranking uses a derived metric, not raw volume. It does not disclose response behavior, defaults, or any rate-limit/auth constraints, but for a read-only tool the added metric note earns reasonable credit.

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 with no filler and front-loads the core ranking definition before the filter hints. The telegraphic parameter summary is not ideal but overall is efficient.

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

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

For a read-only leaderboard this is workable, but there is no output schema and no description of response contents, default env/role when params are omitted, or how limit behaves. The ranking criterion is clear, yet an agent is left to guess what the result list contains and what the default call returns.

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

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

Schema description coverage is 0%, so the description needed to carry parameter meaning; it only restates enum values already present in the schema ('role seller|buyer, env live|test') without explaining their effect or the meaning/limits of 'limit'. The 'never raw volume' note is about ranking, not parameters. Thus it fails to compensate for the schema's lack of descriptions.

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

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

The description names a clear verb ('ranked') and a specific resource ('agents') and defines the ranking metric ('verified on-chain volume × distinct counterparties (never raw volume)'). It is unambiguous about the tool's function, though it does not explicitly differentiate from sibling tools like search_agents or get_reputation.

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

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

No guidance is given on when to choose this tool over alternatives; sibling tools such as search_agents or get_reputation could plausibly serve similar agent-lookup needs. The description only shows filter values ('role seller|buyer, env live|test') rather than selection criteria. This leaves tool-choice reasoning entirely to the agent.

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

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

With no annotations provided, the description must disclose side effects. It states 'nothing is signed or broadcast for you' and that the platform reads on-chain, which suggests a non-transactional action. However, it also says 'connect' and 'link shows on public profile', implying potential state changes, but does not explicitly state whether local state is modified or if it is safely read-only.

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 verbose and repetitive, using phrases like 'registration file' multiple times. While it packs necessary detail, it could be trimmed for clarity without losing key 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?

The description provides rich context: on-chain reads, privacy implications (owner_verified reveals wallet address), a reference to the exact URL for the registration file, and the daily re-check. It is sufficiently complete for an agent to understand the tool's role, though it omits any explicit output details (no output schema provided).

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

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

The single parameter agent_id is fully described in the schema as 'the agentId the registry returned from register(agentURI)', and the description reinforces that context. Coverage is 100% with no ambiguity.

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

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

The description clearly states the tool's function: connecting a minted ERC-8004 agentId with a registration file, and explains the on-chain reads (ownerOf and tokenURI) and the resulting link appearance. It thoroughly differentiates the action from a signing/broadcasting operation.

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

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

The description implies the context (linking an agent ID to a registration file) but does not explicitly state when to prefer this tool over siblings such as register_agent or verify_domain. It lacks clear conditional guidance for selection.

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

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

The readOnlyHint annotation already marks this as safe; the description adds the useful scope constraint that results are restricted to jobs involving the current user as buyer or seller. It does not disclose pagination, ordering, or status value behavior, but that is a minor gap for a read-only list.

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 short sentence with no filler; the scope and optional filtering are front-loaded. It is concise, though at the cost of parameter details.

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

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

For a simple optional-parameter list with a read-only annotation, the core behavior is clear, but the missing status semantics, return-shape information, and absence of any usage distinctions leave noticeable gaps. An agent could call it safely with no parameters, but could not confidently use filters.

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

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

Schema description coverage is 0%, and the description does not compensate: 'optionally filtered' is too generic to explain the role, limit, or status parameters. The role enum is self-evident from the schema, but status has no allowed values and limit has no semantics in the description.

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 exactly which objects are returned ('jobs') and the scope ('where I am buyer or seller'), plus optional filtering. This differentiates it from single-job tools like get_job and creation tools like create_job, though it does not name any sibling explicitly.

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

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

No explicit when-to-use guidance, no comparison with siblings such as get_job, my_listings, or opportunities. The title 'My jobs' and buyer/seller scope imply it is for the current user's job involvement, but there are no alternative conditions or exclusions.

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

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

Annotations already mark this as readOnlyHint=true, so the safety profile is covered. The description adds the resource scope and points to the deletion endpoint via api_request, which is useful context, but it does not disclose output shape, pagination, or filtering behavior.

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

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

A single sentence with no fluff. The primary purpose is front-loaded, and the secondary deletion hint is appended efficiently after a semicolon, giving the agent maximum information per word.

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 read-only list with one optional parameter and no output schema, the description covers the core behavior and even points to the related DELETE endpoint. It is complete enough for basic invocation, though it could briefly mention that the returned schedules contain IDs used for deletion, and clarify the status filter.

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

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

Schema description coverage is 0%, and the description does not mention the optional 'status' parameter at all. The enum values 'active', 'paused', and 'done' are self-explanatory, but the description fails to clarify that status can filter the listed schedules, so it under-compensates for the low schema coverage.

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

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

The description clearly states a specific verb and resource: 'List scheduled wake-ups'. It also distinguishes this read-only tool from deletion by referencing 'delete with api_request DELETE /v1/schedules/{id}', so an agent can tell what this tool does vs. what another tool handles.

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 tells the agent to use api_request for deleting schedules, which is clear when-not/alternative guidance. However, it does not address when to use this over other listing tools like list_jobs, making the guidance useful but slightly narrow.

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

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

With no annotations, the description carries the full burden, but it only states that the unread counter is cleared. It does not disclose whose counter is affected, whether the operation is idempotent, what auth is required, or whether it also alters message-level read state.

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

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

The description is a single sentence with no filler; every word contributes to the core meaning. It is appropriately sized for a one-mutation 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 simple tool the description is not fully complete: it lacks usage context, parameter semantics, and behavioral scope. An agent can infer that a thread_id is needed, but not when to use the tool or what exactly changes beyond the counter.

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

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

The schema has 0% description coverage, so the description must compensate. It adds only that the target is a thread, giving minimal meaning to thread_id, but it does not explain what constitutes a thread ID, where to obtain it, or any expected format.

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 precise action and resource: clearing the unread counter for a thread. This differentiates it from siblings like read_messages or inbox, which concern reading or listing messages rather than updating read state.

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

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

No guidance is provided about when to call this tool versus alternatives such as read_messages or inbox, nor any prerequisites like how to obtain a valid thread_id. The intended invocation context is only implied by the tool name and title.

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

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

The annotations already declare readOnlyHint=true. The description adds useful behavioral context: the tool returns the user's own offerings across all statuses, with no filtering implied. It does not mention pagination, ordering, or response shape, but for a zero-parameter read-only tool 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 extremely short and front-loads the key scope ('Everything I offer, all statuses'). It is not padded, but it is a fragment rather than a clear sentence and would benefit from a verb for full 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 no-parameter read-only list tool, the description is largely complete: it tells the agent what is returned (the user's offerings) and that no status filtering is applied. The absence of an output schema is not fully compensated, but the low complexity keeps this from being a serious gap.

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

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

The input schema has no parameters, so the baseline is 4. The description adds no parameter detail, but none is needed because the schema is empty and schema coverage is effectively 100%.

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

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

The description identifies the resource ('everything I offer' = the current user's listings) and the scope ('all statuses'), which distinguishes it from get_listing (single listing) and search_listings (general search). However, it lacks an explicit verb such as 'list' or 'retrieve' and relies on the tool name for the action.

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

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

The usage is implied: use this when you need all of the current user's listings regardless of status. However, the description does not name alternatives like search_listings or get_listing, and it gives no explicit when/when-not guidance.

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

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

The readOnlyHint annotation already covers side-effect safety. The description adds context about platform verification and transaction hashes, but does not disclose pagination behavior or result ordering. This is acceptable but not rich.

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?

One sentence conveys the resource, scope, and a key output attribute with no filler. It is front-loaded with the most important noun phrase and earns every word.

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 paginated list tool with no output schema, the description states what is returned but not how pagination works or how this tool relates to siblings like payment_info and job_receipt. It is minimally viable but has notable gaps.

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

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

Schema description coverage is 0% and the description never mentions the limit or cursor parameters. For low coverage, the description needed to compensate by explaining pagination semantics, but it does not, leaving cursor behavior unexplained.

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

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

The description clearly identifies the resource: 'payments and refunds the platform verified for my jobs', and adds an output detail ('with transaction hashes'). It does not explicitly differentiate itself from siblings like payment_info or job_receipt, so it is clear but not fully distinguishing.

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

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

The phrase 'for my jobs' gives a clear scope for when this tool applies, and 'verified' communicates a meaningful filter. It does not mention alternatives or exclusions, but the usage context is reasonably clear from the description alone.

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

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

readOnlyHint=true already covers the safety profile, and the description adds valuable behavioral context: which opportunity slices are included and that search terms represent 'traffic, not orders'. It does not mention return formatting or pagination, but for a zero-parameter read-only tool the added context is sufficient.

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, and the data categories are front-loaded before the usage trigger. The long first sentence and the slightly redundant 'job_action-like POST ... via propose_on_bounty' phrasing keep it from a perfect score.

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

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

For a read-only tool with no required inputs, it covers the main categories and when to call it, which is most of what an agent needs. However, it references propose_on_bounty even though that tool is not among the listed siblings, and with no output schema it leaves the result shape undescribed.

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 no input parameters and 100% schema coverage, so there is nothing the description must document. The phrase 'matching my capabilities and tags' usefully implies context-driven filtering rather than an explicit input.

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

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

The description clearly identifies the resource as an opportunity feed and enumerates the concrete contents: matching open bounties, unanswered bounties, recent listings, demand by category, and unfilled search terms. It stops short of explicitly distinguishing itself from sibling tools such as search_bounties or demand.

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 specific trigger ('Call this when the inbox is empty') and a follow-up action for proposals. It does not explicitly state when to prefer alternatives like search_bounties or demand, so exclusions are missing.

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

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

With no annotations present, the description carries full behavioral burden and succeeds: it discloses the two-call sequence, EIP-712 typed data requirements, signature placement, facilitator role, on-chain verification, post-payment effects (reveals delivery or starts work), and the 409 pending retry. It also states wallet requirements ('USDC only, no ETH').

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 but every clause carries procedural value for a complex gasless flow. It is front-loaded with the key instruction ('Call WITHOUT transaction first') and avoids filler, though a single long paragraph could be better structured with steps or bullets.

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

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

Given no output schema and no annotations, the description covers the full invocation lifecycle: first call returns the 402 payment terms with gasless fields, the signing and facilitator POST are detailed, and the second call's verification and 409 handling are specified. The only notable omission is the meaning of the required id parameter.

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 50%, and the description materially enriches the transaction parameter: omit it for terms, then supply either the facilitator's transaction or your own USDC transfer hash. However, the required id parameter is never explained, leaving the agent to infer that it identifies the job being paid. Thus the description compensates for only half of the 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 opens with 'Buyer' and a specific verb ('Call... pay_job WITH that transaction'), identifying exactly what the tool does: pay a job via a gasless two-step flow or a direct USDC transfer. It clearly distinguishes this from generic job actions by explaining the payment-terms and settlement mechanics, so an agent won't confuse it with sibling tools like job_action or payment_info.

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

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

The description provides explicit when-to-call guidance: a buyer omits transaction to obtain terms, signs, posts to the facilitator, then calls again with the transaction hash. It also states the self-payment alternative ('Alternatively send the USDC yourself') and retry behavior on 409. It does not explicitly name sibling tools to avoid or state when not to use the tool, so it falls just short of 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?

Beyond the readOnlyHint annotation, the description discloses substantial behavioral detail: no balances or deposits are involved, buyers pay from their own wallet, the platform verifies on-chain, and the gas-free payment path uses signed typed data broadcast by a public facilitator. It also clearly distinguishes testnet behavior and points to sandbox_faucet, giving agents an accurate model of what the tool does and does not do.

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

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

Three dense sentences cover the payment mechanism, the returned fields, the gas-free flow, and testnet guidance without wasted words. The most important conceptual framing ('No balances, no deposits') is front-loaded, making the tool easier to understand immediately.

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 info tool with a readOnly annotation, the description is remarkably complete. It tells the agent what the tool returns, what payment model it describes, how the gas-free payment path works, and how testnet differs from live. An agent can confidently decide to call this tool and interpret its output.

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

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

The schema provides no descriptions for the env parameter, so the description must compensate. It does so partially by noting that test keys use Base Sepolia and that sandbox_faucet provides testnet USDC, which implies the env parameter toggles test versus live environment. However, it never explicitly maps env values to their effects, leaving some room for misinterpretation.

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 role: explaining how payments work, including the USDC-on-Base flow, required inputs from the buyer, and what information the tool returns. It distinguishes this informational tool from action-oriented sibling tools like pay_job and sandbox_faucet by describing it as an explainer rather than an executor.

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 the informational context clear: it returns how to pay, funding guidance, and wallet requirements, implying it should be consulted before payment actions. It also mentions sandbox_faucet for obtaining testnet USDC, which gives a useful pointer. However, it does not explicitly exclude alternatives or state when this should not be used.

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 annotation already indicates no mutation, and the description adds specific value beyond it by stating that read state is not changed and by directing the agent to call mark_read afterward. It also discloses the oldest-first ordering behavior, which is useful and not present in structured annotations.

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

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

The description is two short sentences with no filler. The core behavior is front-loaded, and the critical follow-up action is stated immediately afterward. Every phrase 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?

The description covers the core invocation and the mark_read follow-up, which is good. However, pagination through limit and cursor is not mentioned, order behavior is only implied, and there is no output schema to describe return values. This leaves gaps for agents needing to retrieve large threads or handle multi-page results.

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

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

Schema description coverage is 0%, so the description must compensate, but it only explains the thread context and default ordering. It does not clarify limit, cursor, or order parameter semantics, leaving the agent to guess how pagination works or how to switch ordering.

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

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

The description clearly identifies the resource (messages in a thread) and the operation (read) through the tool name and title, and it specifically contrasts with mark_read by stating it marks nothing as read. The scope is unambiguous and easily distinguished from sibling tools like send_message or inbox.

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

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

The description provides clear usage context: fetch messages in a thread and then explicitly call mark_read afterward if read state needs updating. It does not explicitly name alternatives or state when not to use the tool, but the sequencing guidance is actionable and sufficient for most cases.

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

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

The readOnlyHint annotation already establishes the operation as non-mutating, and the description's 'Read' / 'list keys' wording is consistent with it. The description adds useful behavioral detail by specifying that omitting a key triggers listing and that a prefix can narrow the keys returned. It does not describe return format or missing-key behavior, but those are not essential for a simple read-only tool.

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

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

The description is a single sentence with no wasted words. The primary behavior is front-loaded, and the parenthetical 'optionally by prefix' elegantly captures the only parameter nuance.

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?

This is a low-complexity tool with two optional string parameters, a read-only annotation, and no output schema. The description sufficiently covers both invocation modes and parameter semantics for an agent to call the tool correctly. It does not describe return-value shape or missing-key behavior, but those are not necessary for correct 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 description coverage is 0%, so the description must carry the parameter documentation. It explains that key is the value to read and prefix is an optional filter for listing keys, and it clarifies the conditional relationship between them. It does not formally state that both are optional, but 'optionally by prefix' and the empty required list make that clear.

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

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

The description uses specific verbs 'Read' and 'list keys' and identifies the resource as a memory key, clearly conveying the two operational modes. It distinguishes itself from writing tools by emphasizing read/list behavior, though it does not explicitly name sibling tools for contrast.

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

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

The description gives a clear condition for list mode ('when no key is given') and notes that prefix is optional, which helps an agent choose parameters. However, it does not explicitly explain when to prefer recall over sibling memory tools like remember or forget, leaving some tool-selection 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?

It discloses critical behavioral details beyond the annotations: API keys are shown only once and must be stored, no email/human is required, and the returned identity requires an Authorization header for subsequent calls. These warnings are essential and not conveyed by the schema or 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 compact and front-loaded: purpose first, then key outputs, then the critical one-time disclosure, then the follow-up action. Every sentence contributes operational 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?

With no output schema, the description compensates well by summarizing the return values (API keys, did:key identity, Ed25519 keypair) and the required next step. It leaves out exact response field names, but the written guidance is sufficient for correct invocation and follow-up.

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 86%, so the input schema already documents most parameters. The tool description does not add much parameter-level meaning, but it does mention the generated Ed25519 keypair, which relates to public_key. This lands at the baseline for high coverage.

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

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

The description states a specific action, 'Create a new agent on Agent Souk in one call', and lists what is returned. This clearly distinguishes it from siblings like update_profile, set_wallet_address, and whoami, so the agent knows 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?

The description gives clear next-step context: after creation, reconnect with the Authorization header and bind a wallet via set_wallet_address. It implicitly tells an agent when to use this tool—as the registration entry point—though it does not explicitly list exclusions or contrast with update_profile.

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

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

With no annotations, the description must carry behavioral disclosure, and it does add useful facts: HMAC-SHA256 signing and that the secret is returned only once. However, it does not disclose that this creates a persistent subscription or what happens on repeated registration, leaving part of the behavioral surface unspecified.

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 with no filler; the signing and one-time-secret caveat is high-value and placed after the core function. Every phrase 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?

Given no annotations and no output schema, the description should cover the essential call semantics. It handles URL and security, but it omits event_types semantics, response/return details, and any setup or validation requirements, so an agent cannot fully reason about the call.

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

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

Schema description coverage is 0%, so the description has to explain the parameters, but it only clarifies that the URL must be HTTPS and vaguely refers to events. The event_types parameter is not explained at all, including its optionality or possible values.

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 conveys the core function: events will be pushed to a supplied HTTPS URL, and it adds the signature detail. It relies partly on the title for the 'register' action and does not contrast with siblings, but the resource and push behavior are clear enough.

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

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

No guidance is given about when to use register_webhook instead of a sibling such as events or when not to use it. The only implicit cue is the HTTPS URL and webhook terminology, so an agent has to infer the intended use case.

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?

No annotations are provided, so the description carries the full disclosure burden. It does well by revealing that the memory is private and durable, and by stating concrete resource limits (64 KB per key, 1000 keys). It does not state overwrite behavior for an existing key or what happens when a TTL expires, which would have made this fully transparent.

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

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

The description is a single dense sentence that covers the core action, the storage model, persistence, privacy, resource limits, and the optional parameter. Every phrase earns its place and nothing is redundant or padded.

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 straightforward write-to-memory tool with three parameters and no output schema, the description provides most necessary context: persistence, privacy, limits, and TTL presence. The main gaps are overwrite semantics and TTL behavior after expiry, but these are relatively minor for making a correct call.

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

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

Schema description coverage is 0%, so the description must compensate. It correctly maps 'key' to a storage key and 'value' to any JSON, and it names ttl_seconds as optional. However, it does not explain key constraints, value size limits, or the precise expiry behavior of ttl_seconds beyond the parameter name itself.

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

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

The description uses a specific verb ('Store') and a clear resource ('any JSON under a key in your private memory'), making the operation immediately understandable. It also adds the key qualifier that memory survives sessions and frameworks, which differentiates it from sibling tools like recall and forget.

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 durable, session-spanning nature of the memory strongly implies this tool should be used when an agent needs persistence across sessions or frameworks. However, it never explicitly names alternatives such as recall or forget, nor does it state when not to use this tool, so the usage guidance is only implied rather than explicit.

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

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

With no annotations, the description carries the burden of behavioral disclosure, and it delivers key consequences: the review is permanent, feeds reputation, and the machine_generated label is public. It also explains when to set that flag, which is valuable beyond the schema field description.

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

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

Two sentences pack purpose, timing, permanence, reputation impact, a conditional flag, and privacy implications with no filler. The key behavioral constraints are front-loaded, making it easy for an agent to scan and act.

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 sufficient for a moderately complex tool: it covers when to use it, what it does, the critical machine_generated flag, and the irreversible/public nature of the review. It omits details like return behavior or whether comments are optional, but these are not essential given the schema and overall clarity.

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 25%, so the description meaningfully compensates by explaining the rating scale (1-5), the machine_generated condition (automated judge vs. person), and the public nature of the label. The remaining parameters, job_id and comment, are reasonably inferable from their names.

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 ('Rate') and identifies the resource ('the other party') and timing ('after completion'). It clearly conveys the tool's core purpose, though it does not explicitly distinguish itself from related sibling tools like dispute_action or job_action.

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

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

The phrase 'after completion' gives clear contextual timing for when the tool is appropriate. However, it does not mention exclusions or contrast with alternatives such as dispute_action or get_reputation, leaving some usage boundary inference to the agent.

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?

No annotations are present, so the description carries the full burden. It transparently mentions the output (transaction hash), the testnet nature (no real money), and the rate limit (once per day), though it does not disclose any side effects beyond these.

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

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

The description is a single sentence that packs purpose, constraints, output, and safety information without redundancy. It is slightly dense but remains clear and well-structured.

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

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

Given there is no output schema or parameters, the description fully covers what an agent needs to know: what it does, the expected output (transaction hash), the rate limit, and the safety (testnet). It is complete in context.

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

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

The schema has no parameters, so coverage is vacuously 100%. The description adds no parameter-specific semantics because none exist, aligning with the baseline score of 3 for high schema coverage.

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

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

Clearly states the tool sends testnet USDC to the bound wallet for practicing payments, with explicit constraints (once per day, test key only) and a unique purpose distinguishing 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?

Provides clear when-to-use context (practicing payments) and constraints (once per UTC day, test key only), but does not explicitly mention alternatives or when not to use, though the uniqueness among siblings makes it 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?

No annotations are provided, so the description carries the behavioral burden. It discloses that the tool fires an asynchronous event, supports one-shot or interval-based execution, and pairs with a webhook for wake-up delivery. It does not cover lifecycle details like cancellation or max_runs behavior, but the core behavioral side effect is clearly communicated.

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

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

The description is two sentences with no wasted words. The core behavior is front-loaded, and the webhook pairing guidance appears naturally after the mechanism. It is concise, engaging, and information-dense.

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 annotations, no output schema, and six parameters at 0% schema description coverage, the description needed to provide more operational detail. It omits max_runs semantics, whether run_at and in_seconds are mutually exclusive, required formats, what the call returns, and how schedules are identified or managed. The description gives a good overview but is not complete enough for reliable invocation.

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

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

Schema description coverage is 0%, so the description must compensate. It adds meaning for run_at, in_seconds, interval_seconds, and payload, explaining their roles in scheduling. However, it omits name and max_runs entirely, and does not clarify formats or units, leaving important parameter semantics incomplete.

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: fires a schedule.fired event with a payload at a specified time, optionally recurring. It identifies the specific resource (schedule) and the event produced, and the tone makes the purpose memorable. It distinguishes itself from list_schedules by describing creating/triggering a wake-up rather than listing existing schedules.

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 usage context: use this when you need cron-like scheduling because 'you have no cron' and pair it with a webhook to be woken when idle. It does not explicitly mention alternatives or when not to use the tool, but the context is clear enough for an agent to decide.

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, so the read-only nature is covered. The description adds that searching can be by words, capability, or tag, but it does not disclose details like result ordering, pagination, or default behavior when no parameters are provided. This is acceptable for a simple read operation but does not go beyond the annotation significantly.

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 only two sentences, front-loaded with the action and resource, and every clause adds useful information. It avoids restating the tool name or schema and has no filler.

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

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

For a simple search tool with all optional parameters and no output schema, the description gives enough to understand the core purpose. However, it does not explain what happens when no criteria are given, whether parameters combine, or what the result shape looks like. The schema covers limit bounds, but the description leaves the agent to infer several behaviors.

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

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

Schema description coverage is 0%, so the description must compensate. It mentions 'words, capability or tag', which roughly maps to q, capability, and tag, but it does not explain what each parameter means or how they combine. The 'limit' parameter is entirely omitted from the description, leaving a gap for one of the four 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 uses a specific verb ('Search') with a clear resource ('other agents') and explicitly names the search dimensions ('by words, capability or tag'). It also distinguishes this from sibling tools like search_bounties and search_listings by focusing on agents as the target.

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

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

The description provides clear usage context: 'Use to find someone to message, hire or refer.' This tells the agent when this tool is appropriate, but it does not explicitly mention when not to use it or name alternative tools such as search_bounties or search_listings.

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

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

With readOnlyHint already provided by annotations, the description adds value by disclosing that results are limited to open requests and that budgets are expressed in USDC minor units. It also points to the next step without contradicting the read-only 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?

The description is two short sentences with no filler. It front-loads the core purpose and appends a useful workflow pointer, so every sentence earns its place.

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

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

For a read-only search tool with four optional parameters and no output schema, the description gives core scope and one parameter detail, but is missing filter semantics, pagination or limit behavior, and any indication of the return shape. It is minimally viable but not complete.

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

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

Schema description coverage is 0%, so the description must compensate for undocumented parameters. It only clarifies the budget unit for min_budget, leaving q, limit, and category unexplained in both the schema and the description.

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

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

The description clearly identifies the resource as 'open requests' or work bounties from agents and implies retrieval. The title 'Find bounties' reinforces the search verb, and the focus on open requests distinguishes it from creation or action tools like create_bounty and bounty_action.

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

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

The instruction 'Propose with bounty_action' gives a clear follow-up action, which helps agents understand the workflow after searching. However, it does not explicitly say when to use this tool over search_listings or search_agents, nor does it state exclusions like closed or past bounties.

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 carry readOnlyHint=true, so the description adds genuinely useful behavioral context: response contents (how_to_order with a ready-to-send job body, price in USDC minor units with the 1000000 = 1 USDC conversion factor, seller reputation hints) and the empty-result behavior that carries post_a_bounty. No contradiction with the read-only annotation, though it stops short of covering pagination or rate behavior.

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

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

Four sentences, each earning its place in logical order: purpose, when-to-use directive, result contents, and empty-result fallback. The decision-guidance parenthetical is slightly wordy but conveys non-obvious autonomy logic. No filler and well 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 10-parameter tool with no output schema, the description covers the essential invocation context: when to call, what the response contains (how_to_order, price units, reputation hints), and the bounty fallback for empty results. It omits pagination/limit behavior and how results map to get_listing, but given the read-only annotation and the schema's own env coverage, these are refinements rather than invocation blockers.

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 low (40%): only q, env, graduated, and max_price have descriptions; tag, sort, limit, cursor, payment, and category are undocumented. The description partially compensates by clarifying the USDC minor-unit convention and the how_to_order semantics that tie into q, but it does not disambiguate the six undocumented parameters. It adds some meaning but does not fully compensate for the coverage gap.

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

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

States a specific verb and resource: 'Search what other agents offer,' reinforced with concrete category examples (translation, code review, research, data, images, ops). The phrasing distinguishes it from sibling search_agents (finding agents by identity rather than offerings) and implicitly from search_bounties, since the empty-result fallback routes to post_a_bounty/create_bounty. Specific and not a tautology.

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

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

Explicit when-to-call directive: 'Call this BEFORE you build something yourself,' including a decision rule (present both cost numbers to the operator and let them decide). It also gives the alternative path when results are empty: the post_a_bounty payload is a ready body for create_bounty. This is explicit usage guidance with an alternative tool route.

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 reveals behavioral nuance: using 'to' can start a new direct thread, while thread_id replies to an existing one. However, with no annotations at all, it does not cover side effects, permissions, delivery semantics, or whether the operation mutates conversation state. Some transparency exists, but a lot is left uncovered.

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?

One sentence, no wasteful content, and the key mode distinction is front-loaded. The quoted terms and comma-separated structure make parsing slightly more effort than needed, but overall it is concise and efficient.

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

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

For a simple message-sending tool this is workable: an agent knows how to choose between thread_id and 'to'. But the 'data' parameter is unexplained, body's role is implied rather than stated, and with no output schema the return value is unknown. Gaps remain but are not fatal.

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

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

Schema coverage is 0%, so the description must carry semantic weight. It adds meaning for 'to' (agent id/handle) and thread_id (existing thread), but says nothing about 'body' or 'data'. This is partial compensation for a fully undocumented 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 identifies the action as sending a message to either an agent or a thread, with a specific verb and resource. It distinguishes between replying in an existing thread and starting/continuing a direct thread, though it does not explicitly contrast with sibling tools like read_messages or inbox.

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

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

It gives explicit routing guidance: use thread_id for existing threads and 'to' for direct threads. This is the key usage decision an agent needs. It does not discuss when to prefer related sibling tools, but the core when-to-use guidance is present.

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

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

With no annotations provided, the description carries the disclosure burden and handles it well: it explicitly states the stop side effect ('no further milestones are created'), clarifies the in-flight step behavior, and notes that either party may stop. It does not explicitly label get/list as read-only, but their semantics make that reasonably clear.

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 concept, then each action gets one clear clause. There is no filler, and every sentence adds information needed to invoke the tool correctly.

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 multi-action tool with no output schema and no annotations, the description covers the series concept, the purpose of each action, and the key stop behavior. It lacks explicit mention of the stop response or any error/prerequisite conditions, but the essential invocation context is present.

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 80%, so the schema already documents most parameters. The description adds meaningful semantics for the action enum, which lacks a schema description, and connects id to get/stop and role to list. It does not describe status filtering in detail, but the schema already says 'for list'.

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

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

The description clearly states the resource ('a series... split into milestones') and provides a distinct verb and outcome for each action: get returns the plan/status/totals, list returns 'my series', and stop halts milestone creation. This fully disambiguates the three bundled operations and distinguishes series_action from sibling action 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?

Each action is accompanied by concrete use context: get for the plan and statuses, list for the user's own series, stop for halting after any step. It also explains the series-creation origin with create_job + milestones. It does not explicitly compare against single-job alternatives like job_action, so it stops short of full alternative routing.

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

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

With no annotations provided, the description carries the full behavioral disclosure burden. It discloses the exact signature scheme (EIP-191 personal_sign, EIP-1271 for smart-contract wallets), the signed payload format, and the additional Ed25519 proof requirement for address changes. It does not state response/error behavior or explicitly say the operation mutates state, but the binding behavior is well conveyed.

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 but efficient: the first sentence establishes purpose and wallet role, the second details signature and change-proof requirements. Every sentence earns its place, though the heavy technical parentheticals make it slightly dense and could benefit from clearer separation between the base requirement and the conditional change requirement.

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

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

The description covers the essential context: why the address matters, what must be signed, and when proof is required. There is no output schema, so return behavior is not described, and the source of agent_id is not stated, but an agent has enough information to construct the required parameters 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 only 33%, so the description must compensate. It explains address as the controller-owned Base EVM address, signature as EIP-191 personal_sign over the exact string, and proof as a hex Ed25519 signature only needed when changing an existing address. This adds substantial meaning beyond the bare schema for all three parameters.

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

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

The description clearly states the operation: it binds the agent's one EVM address on Base, used for receiving USDC as a seller and paying as a buyer. This is specific about the verb, resource, and role, and makes the tool's purpose unmistakable even among many 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 gives strong contextual guidance: this wallet is the payment address for selling and buying, so the agent knows when this binding matters. It also explains the conditional case of changing an existing address by requiring proof. It does not explicitly name alternatives or exclusions, but no direct alternative tool exists here.

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?

No annotations are present, so the description carries the disclosure burden. It does state that the operation changes specific fields and gives the allowed status values (active|paused), which is useful. However, it omits behavioral details such as what pausing does to the listing, whether the update is partial or full, permission requirements, or any irreversible effects.

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

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

The description is a single front-loaded sentence with no filler. It immediately communicates the action and the affected fields/values, making it efficient for an agent to parse.

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

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

The description is adequate for a simple update tool: it covers the primary mutable fields and status values, and the schema covers required parameters. However, there is no output schema and the description doesn't describe the return value, the meaning of a partial patch, or the side effects of pausing, leaving some contextual gaps an agent must resolve elsewhere.

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 only 50% schema description coverage (patch has a generic description; id has none), the description adds real value by naming the concrete fields and the status enum, which is especially important because patch uses additionalProperties. It anchors patch contents to create_listing field names via the schema, but doesn't define the 'id' parameter explicitly.

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 ('Change') and resource ('my listing') and enumerates the mutable attributes: price, copy, SLA, payment timing, and status. It is clearly distinct from siblings like create_listing/get_listing by the act of modifying an existing listing, though it doesn't name alternatives directly.

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 (update or pause an existing listing) but provides no explicit when-to-use/when-not-to-use guidance or alternative tool names. It does not explain when to choose create_listing over update_listing, leaving the agent to infer from the word 'change'.

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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only indicates that the tool mutates profile fields; it does not disclose whether updates are partial or replacing, what happens to omitted values, authentication requirements, side effects, or return behavior. This is a significant gap for a mutation tool.

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

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

The description is a single front-loaded sentence that conveys the action and all relevant fields with no filler or redundancy. Every phrase earns its place, making it highly efficient for an agent to parse.

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

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

With six parameters, nested objects, no annotations, and no output schema, the description needs to explain update semantics and invocation context more thoroughly. It omits critical details like whether the update is additive or wholesale replacement, whether empty values are allowed, and what the tool returns, leaving the agent under-informed before calling it.

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

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

Schema description coverage is 0%, so the description must compensate. It lists all six parameters and adds valuable detail about the endpoint keys (a2a_card_url, mcp_url, api_url, webhook_url), which the schema leaves generic. However, it provides no value semantics or constraints for the other fields, so it only partially bridges the coverage gap.

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

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

The description uses a specific verb ('Change') with a clear resource ('profile') and enumerates the exact mutable fields: name, description, capabilities, tags, endpoints, and framework. This clearly distinguishes it from siblings like update_listing or register_agent, which target different resources.

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 this tool is for updating the current user's profile fields, but it does not explicitly state when to use it versus alternatives or provide exclusions or prerequisites. Usage context is conveyed mainly through the title and field list rather than explicit guidance.

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

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

Despite having no annotations, the description carries the full burden of behavioral disclosure. It documents the side effect ('Registers the domain (if new)'), the multi-call state transitions, the trust-tier up-level, and the public resolution endpoint. It falls short of explaining failure/authorization errors (e.g., domain already owned), but it covers the main behavior well.

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

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

Three dense sentences with no wasted words: first the actual action, then the exact challenge string/location, then the outcome and follow-up. The TXT record detail is dense but necessary — an agent could fail to publish it without that specific line. Every sentence earns its place.

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

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

For a single-parameter tool with no output schema, it appropriately documents both what the first call returns (publishable challenge) and what subsequent calls report (aggregate=true). The tier/badge and resolve-with-GET endpoint add the domain's context an agent needs to assess the result; only the exact return structure is missing, which is minor given the low complexity.

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

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

Schema description coverage is 100%, so the input schema already documents that domain is a 'host name you control'. The description adds only the nuance that the domain is registered if new and is the target of challenge publication. With the schema carrying the meaning of the parameter, 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 states the specific verb/resource relationship: it registers the domain if new and checks the control challenge by returning a TXT record or well-known file to publish. This is unambiguous and distinct; no sibling tool in the list does domain verification, so agents can select it without opening the schema.

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 an explicit interaction pattern: first call returns the challenge to publish, later calls return verified=true once the record is live. This tells the agent to call once, publish the record, then continue calling to poll. It does not enumerate when not to use it or name alternative tools, but the two-stage call flow works as a usage guide.

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

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

Annotations declare readOnlyHint=true, and the description adds valuable behavioral context: it requires auth, reports environment (live/test), wallet_address, and a funding block with a ready-to-send message. It also explicitly states that 'nothing here holds a balance or can fund you,' which is important behavioral disclosure beyond the annotation. This is strong transparency for a read-only identity tool.

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

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

The description is a single, information-dense sentence that front-loads the core purpose ('Who am I on Agent Souk') before adding details. It's slightly long but every clause adds meaningful information: auth requirement, key verification, environment, wallet address, funding block, and the no-balance caveat. No wasted words, though it could be split into two sentences for readability.

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

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

For a zero-parameter, read-only tool with no output schema, the description is quite complete. It tells the agent what the tool does, what it returns, and a critical caveat (no balance/funding). The only minor gap is that it doesn't describe the exact output format or structure, but with no output schema and a simple identity check, this is acceptable. A 4 is fair given the tool's simplicity.

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

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

The tool has zero parameters, so the schema provides no parameter semantics. The description compensates by explaining what the tool returns (environment, wallet_address, funding block) and the context of those values. Since there are no parameters to document, a baseline of 4 is appropriate for the description's explanatory value.

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

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

The description clearly states the tool's purpose: it identifies who you are on Agent Souk, confirms your key works, and reports environment, wallet address, and funding block. It uses a specific verb ('confirms') and resource ('your profile'), and distinguishes itself from siblings by focusing on identity/authentication rather than actions like update_profile or set_wallet_address.

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 notes that auth is required, which tells the agent when it can be used (after authentication) and implies it's a diagnostic/verification tool. It doesn't explicitly name alternatives or exclusions, but the context of 'confirms your key works' makes its use case clear. A 4 is appropriate because it gives clear context but no 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.