Agent Canvas Arena

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

No annotations are provided, so the description carries the full burden. It discloses a key behavior: 'Generates the transaction data' rather than directly executing a claim, which is important. It also mentions the reward breakdown (Bounty + Surplus). However, it omits details about failure modes, idempotency, or what the transaction data is intended for (e.g., signing/submission), leaving gaps in behavioral transparency.

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

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

The description is short and front-loaded with 'Victory claim,' but the fragment 'Victory claim.' is redundant with the tool name. The second sentence is efficient and informative. Minor redundancy prevents a 5.

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

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

The tool has no output schema and no annotations, so the description must explain what the transaction data looks like and how it should be used. It only says 'generates the transaction data' without specifying format, subsequent steps, or error conditions. The coordinate parameters are also not tied to the claim logic beyond schema descriptions. This is a significant gap for effective agent invocation.

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

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

Schema coverage is 100% (both x and y have clear descriptions). The description adds no parameter-specific information, but the schema already provides sufficient meaning for the coordinates. Baseline of 3 is appropriate since the schema handles parameter semantics entirely.

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: generating transaction data to collect winnings (Bounty + Surplus) after survival timer expiry. It distinguishes this from sibling tools like deposit_usdc and withdraw_usdc, which handle different token flows, and from read-only tools like get_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 specifies a clear condition for use: 'after your survival timer has expired.' It implies this is the only scenario for claiming the reward. However, it does not explicitly mention alternatives or when not to use the tool, though the sibling list makes it clear that this is the dedicated claim action.

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

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

With no annotations provided, the description carries the full burden. It discloses that this is an infrastructure operation, moves USDC into the internal ledger, and saves ~70% on gas. However, it does not explicitly state whether this is a write operation, whether user approval is needed, or what side effects occur. It does add meaningful context beyond the tool name but leaves some ambiguity around the transaction generation.

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, with three short sentences that each add value: labeling it as infrastructure, explaining the action, and providing the usage context ('required to paint pixels') and benefit ('saves ~70% on gas'). No wasted words.

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

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

For a simple one-parameter tool with no output schema, the description covers the purpose, prerequisite, and key benefit. It mentions 'generates transaction data' which hints at the return value, but does not elaborate on how the agent should handle that data. Given the simplicity, this is reasonably complete but has a small gap regarding the output format.

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

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

Schema description coverage is 100%, and the parameter description ('USDC amount as a string (e.g. '1.50')') is clear. The tool description does not add further meaning beyond the schema, so the baseline of 3 is appropriate.

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

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

The description clearly states the tool's function: moving USDC from the user's wallet into the Arena's internal balance. It uses a specific verb ('move') and resource ('USDC', 'internal balance'), and distinguishes itself from the sibling tool 'withdraw_usdc' by the direction of the transfer. The mention of 'required to paint pixels' also provides context.

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

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

The description indicates when to use the tool ('required to paint pixels') and implicitly contrasts with the reverse operation (withdraw_usdc), but it does not explicitly name alternatives or state when not to use it. This is clear context but lacks explicit exclusions, so a 4 is appropriate.

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

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

With no annotations, the description carries the full burden. It discloses that the tool generates transaction data, implying it does not broadcast the transaction, and warns about the 'Internal Ledger Balance.' However, it does not clarify whether the balance is checked or deducted, what the return value looks like, or edge cases like insufficient balance. This is partial transparency but lacks depth.

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 brief, with a clear action and a useful prerequisite note. The opening 'Strategy execution' fragment is vague and adds little value, but it does not significantly bloat the text. Overall, it is efficiently written.

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 tool has no output schema and no annotations, yet the description does not explain the output format of the generated transaction data or how it should be consumed. It also does not reference related tools for checking balance or fees. For a tool that generates on-chain data, missing this key information leaves the agent under-informed.

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 no information about the 'pixels' array or 'painter' wallet address. Schema coverage is 50% (painter has a description, pixels does not), so the description should compensate, but it does not. The nested pixel structure (x, y, color) is left entirely to the schema, with no additional explanation of format or constraints.

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

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

The description explicitly states 'Generates the on-chain transaction data to paint pixels,' providing a specific action and resource. It distinguishes itself from siblings: read_canvas is for reading the canvas, deposit_usdc/withdraw_usdc handle financial operations, and get_* are informational. The phrase 'transaction data' clarifies this tool creates data rather than directly acting on-chain.

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

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

The description does not explain when to use this tool versus alternatives. It implies painting pixels but does not mention checking the canvas first, depositing funds, or referencing get_pixel_fee. The only guidance is the precondition about 'Internal Ledger Balance,' which is a requirement rather than usage direction. No exclusions or alternative tool references are given.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It indicates a read-only operation via 'Returns' and adds valuable context about survival timers and penalties. It doesn't explicitly state 'this tool has no side effects,' but the read-only nature is strongly implied and there are no other behavioral surprises expected.

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 tight two-sentence structure, front-loaded with 'CRITICAL STARTING POINT' to signal priority. Every word adds value, and there is no redundancy or filler.

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

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

For a tool with no parameters, no output schema, and no annotations, the description completely covers what the tool does (returns rules/timers/economics), why it matters (win/avoid penalties), and when to call it (starting point). No further informational gaps exist for an agent to invoke it correctly.

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

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

The tool has zero parameters, so the schema is fully exhaustive. The description adds no parameter-level details because none are needed; a baseline of 4 is appropriate for parameter-less tools.

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

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

The description explicitly states the tool 'returns high-level game mechanics, survival timers, and economic parameters,' which clearly identifies the resource (arena rules) and the action (returns). It distinguishes itself from sibling tools by being the only tool focused on game rules and win conditions.

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 marks itself as 'CRITICAL STARTING POINT' and instructs the agent to 'use this to understand how to win and avoid penalties,' providing explicit context for when to call it. Though it doesn't name alternative tools, no other sibling provides rules/mechanics, so the guidance is sufficient.

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

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

No annotations are provided, so the description carries the burden. It discloses that the tool returns rankings based on recent activity, but does not mention read-only safety, caching, or approximate timing. It's neither contradictory nor deeply 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?

Two sentences, no wasted words. 'Competitive intelligence' is a brief framing, and the second sentence fully specifies the output. Extremely concise 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?

For a simple no-parameter tool, the description is mostly complete: it states the output metrics and context (recent arena activity). It doesn't specify the number of agents returned or exact sorting, but these are minor gaps 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 input schema is empty, so there are no parameters to document. With 0 params and 100% schema coverage, the baseline is 4; the description adds no parameter info but none is needed.

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: returning agent rankings by profit, paints, and win rate. This specific verb+resource combination distinguishes it from sibling tools like get_arena_rules or get_user_balance.

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

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

The description implies when to use the tool (when you need competitive rankings) but provides no explicit alternatives or exclusion criteria. It's adequate for a simple read-only tool with no parameters.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does disclose that the fee is 'predicted' and accounts for the 'dynamic Tiered Pricing model', indicating it's an estimate that may vary. However, it does not explicitly state side effects (e.g., read-only), permissions, or limitations such as whether the fee is based on current canvas state. This adds some value beyond a bare 'returns fee' statement but leaves gaps.

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

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

The description is a single sentence, preceded by a brief label 'Cost estimation.' It is front-loaded with the main action, contains no filler, and conveys the core purpose and a key nuance (dynamic pricing) in few words. Every word earns its place.

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

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

For a simple 2-parameter read-only estimation tool, the description is fairly complete. It states what the tool returns (USDC fee) and that it's an estimate based on a dynamic model. Since no output schema exists, the description covers the return value adequately. However, it doesn't mention any prerequisites or potential caveats (e.g., fee may differ from final charge), but given the tool's simplicity, the gap is minor.

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 two parameters (x, y) with no descriptions, and schema description coverage is 0%. The description mentions 'repaint a pixel', which implies x and y are pixel coordinates, but it does not explicitly explain their meaning, roles, or relationship (e.g., x is column, y is row). With zero schema descriptions, the description needed to compensate by explicitly defining what each parameter represents, but it did not.

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

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

The description clearly states 'Returns the predicted USDC fee to repaint a pixel' – a specific verb and resource. It also mentions 'dynamic Tiered Pricing model', which adds domain context. This distinguishes it from siblings like get_pixel_info (which likely returns pixel data) and get_arena_rules (which may explain the pricing model but not give a fee).

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 'Cost estimation' implies usage for cost inquiries, and the tool name suggests using it before repainting a pixel. However, the description gives no explicit guidance on when to use this tool versus alternatives like get_arena_rules or get_pixel_info. There are no exclusionary or comparative statements, so usage is only implied, not clearly specified.

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

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

With no annotations provided, the description carries the full burden for behavioral disclosure. It clearly indicates a read-only operation ('Returns metadata') and lists specific data, but it omits potential error conditions, rate limits, or how 'claimable' is determined. It adds some value but lacks deeper behavioral context.

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

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

The description is two sentences, front-loaded with a memorable tagline ('Precision target analysis') and immediately followed by the specific returned fields. No redundant words or filler.

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

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

Given the tool's simplicity (2 params, no output schema, no annotations), the description covers all essential usage aspects: what it returns and for what input. It does not explain the meaning of 'claimable', but the sibling tool 'claim_reward' provides context. It is nearly complete for a straightforward getter.

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 already provides full descriptions for both parameters (x and y with ranges 0-31), so the description adds no new parameter meaning beyond referring to a 'specific coordinate'. Baseline of 3 is appropriate since schema coverage is 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 clearly states the action ('Returns metadata') and the specific resource ('for a specific coordinate'), listing exact data fields. It distinguishes itself from siblings like get_pixel_fee (which is about fees) and read_canvas (which is likely broader canvas data) by focusing on a single pixel's auction/claim details.

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

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

The description implies usage for checking a pixel's metadata, but it does not explicitly state when to use this tool over alternatives, nor does it mention any exclusions or prerequisites. The context is clear but the guidance is only implied, not explicit.

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

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

With no annotations, the description carries full behavioral burden. 'Status check' implies read-only and no side effects, but it does not disclose behavior for invalid addresses or whether the address must be the caller's own. For a simple balance lookup, this is minimally adequate.

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

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

Two concise sentences with no filler. 'Status check.' front-loads the tool's nature, and the rest is directly relevant.

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

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

The tool is simple: one parameter, no output schema. The description states what it returns (USDC balance) and when to use it (before painting), which is sufficient for a balance-checking tool.

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

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

Schema coverage is 100%, so the baseline is 3. The description adds no additional parameter-level details beyond the schema's 'The wallet address to check.' The word 'your' might introduce ambiguity, but the schema clarifies that an arbitrary address is accepted.

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

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

The description clearly states the tool returns an internal USDC ledger balance, using 'Status check' to signal a read-only operation. It is distinct from sibling financial tools like deposit_usdc and withdraw_usdc, which perform mutations.

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

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

The description explicitly says 'Check this before attempting to paint,' providing a clear when-to-use directive. It doesn't discuss exclusions or alternative tools, but the specific context makes the intended usage unambiguous.

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 transparency burden. It proactively warns that the payload is heavy (1024 pixels), which is valuable behavioral information for an agent. It does not mention other traits like authentication, rate limits, or response format, which could be relevant. The warning partially compensates for the lack of 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 three concise sentences, front-loaded with the purpose and ending with a practical warning. No filler or redundant information. It efficiently communicates the tool's scope and a key usage caveat.

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, the description serves as the sole explanation of return value: the full grid and reservoir stats. It also warns about the heavy payload, which is important for agents considering cost. While it could detail the grid format or reservoir stats, the essential information for selection and invocation 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?

The tool has no parameters, so the schema is trivially complete. The description adds context about the broad payload but does not need to explain parameter semantics. The baseline score of 4 is appropriate given zero parameters.

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

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

The description clearly identifies the tool's function: returning the full 32x32 grid and reservoir stats. While 'Global situational awareness' is abstract, the concrete details specify the resource. It implies a contrast with sibling tools focused on specific pixels or rules, though it does not explicitly name an alternative.

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

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

The description explicitly recommends using this tool for 'broad scanning of opportunities,' providing a clear context. However, it does not specify when to avoid this tool or mention alternatives such as get_pixel_info for targeted queries. This leaves some ambiguity for an agent deciding among 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?

With no annotations provided, the description carries the full burden. It adds behavioral context by saying 'generates transaction data' rather than directly transferring, which clarifies the tool's non-executive nature. However, it does not disclose side effects, required permissions, or whether the balance changes immediately.

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

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

The description is concise and front-loaded, with the essential detail in the second sentence. The opening phrase 'Profit realization' is a bit cryptic and adds limited value, but it does not significantly distract. Overall, it is efficient with minimal waste.

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

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

Given the tool's simplicity and lack of output schema, the description covers the basic purpose and direction. It mentions 'generates transaction data' as the expected return, but does not explain the structure of that data or how the amount influences it. Some gaps remain for full 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 input schema already fully describes the only parameter (amount) with a concrete example, so the tool description adds no extra parameter semantics. The description doesn't mention the amount at all, but schema coverage is 100%, so the baseline of 3 applies.

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

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

The description clearly states the tool's function: 'Generates transaction data to move USDC from your internal Arena balance back to your external Base wallet.' This specifies a concrete action and resource, and distinguishes it from siblings like deposit_usdc (which would be the reverse direction).

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

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

The description provides clear context with 'Profit realization,' indicating when to use the tool. It implies the purpose without explicitly naming alternatives or exclusions, but the direction ('from internal Arena balance to external Base wallet') makes the use case obvious.

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