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 explicitly says this is a read operation on on-chain data, implying no side effects. It also clarifies that V1 pairs are always ETH<->token, which prevents callers from expecting arbitrary pair types. It does not discuss error behavior for unsupported tokens, but that is a minor gap for a read 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 compact, front-loaded with the core action, and each sentence adds distinct value: what it reads, the V1 pair invariant, and how to specify token. 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 simple read tool with a single parameter, the description is complete. It gives the input format, network assumption, and pair structure. The absence of an output schema is acceptable because the description already names what is read (ETH/token reserves), and the tool name reinforces the return concept.

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%, but the description fully compensates by defining the only parameter: token is a mainnet ERC20 contract address or known symbol (e.g. USDC, DAI, WBTC). This informative explanation is more than enough for an agent to correctly construct the call.

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: reading on-chain ETH/token reserves from a token's Uniswap V1 exchange. It includes the key distinguishing fact that V1 pairs are always ETH<->token, which separates it from sibling v2/v3 reserve tools.

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

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

The description provides clear context: this is for Uniswap V1 exchanges, where pairs are always ETH<->token, and token must be a mainnet ERC20 address or symbol. It does not explicitly state when not to use it or name alternatives, but the V1-specific framing and sibling tool names make the intended usage clear.

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

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

With no annotations provided, the description carries the full burden. It clearly frames this as a read-only operation ('Reads') and adds that token_a/token_b can be mainnet addresses or known symbols. It does not disclose potential revert behavior, token ordering effects, or return format, but the simple on-chain read nature is adequately 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?

Two short, front-loaded sentences with no filler. The first establishes what the tool does, and the second explains parameter semantics. 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 simple two-parameter read-only tool, the description is nearly complete: it identifies the operation, the pair version, the network (mainnet), and accepted token inputs. Minor gaps remain around token ordering and what exactly is returned, but the absence of an output schema is mitigated by the clear statement that reserves are read.

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 does: 'token_a'/'token_b' are explicitly said to be mainnet ERC20 contract addresses or known symbols, with examples 'WETH' and 'USDC'. This adds essential meaning beyond the bare schema properties, though it leaves ordering and normalization details unstated.

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

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

The description names a specific verb ('Reads'), a clear resource ('on-chain reserves of a Uniswap V2 pair'), and the exact method used ('getReserves()'). It is immediately distinguishable from the V1/V3 siblings because the pair version is explicit.

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 by scoping it to Uniswap V2 pairs, which an agent can infer from the sibling names. However, it does not explicitly state 'use this for V2 pairs, use get_v1_reserves or get_v3_reserves for other versions' or give exclusion criteria.

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 states this is a read operation and details the fee-tier scanning behavior, which is useful. However, it does not mention return format, error handling, network dependencies, or whether it mutates anything (though 'Reads' implies no mutation). The description adds some value but lacks comprehensive 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 well-structured with two clear paragraphs: the first states the core purpose, the second details parameter semantics and default behavior. It is concise, uses backticks for parameter names, and avoids fluff. It could be slightly tighter, but it earns its length by packing necessary 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 covers the main behavior and parameters well, but since there is no output schema, it should describe the return format (e.g., an array of pool objects with addresses and reserve amounts). It only says 'every pool that exists is returned,' leaving the structure ambiguous. Also, it does not mention potential errors (e.g., when a pool doesn't exist). For a read tool with no output schema, this is a notable 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?

Schema description coverage is 0%, so the description must compensate. It thoroughly explains token_a/token_b (addresses or known symbols, mainnet) and fee (hundredths of a bip, examples, and the full behavior when omitted, including the list of tiers checked). This goes well beyond the bare schema, giving an agent everything it needs to populate parameters correctly.

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

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

The description clearly states the verb ('Reads'), the resource ('on-chain reserves (pool token balances) of Uniswap V3 pool(s)'), and explicitly mentions 'Uniswap V3', which distinguishes it from v1/v2 siblings. It also clarifies what 'reserves' means, leaving no ambiguity about the tool's function.

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 guidance on how to use the fee parameter (including the default behavior when omitted), but it does not explicitly explain when to choose this tool over get_v1_reserves or get_v2_reserves. The name and the explicit 'Uniswap V3' reference imply the use case, but there is no direct comparison or 'use this for V3' statement.

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