3Q PDF & SheetKit

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

With no annotations, the description carries the full burden and does disclose the material trait: opening the URL starts a real checkout with card or WeChat Pay, no account required. It omits link lifetime/reuse (does the URL expire, is it single-use?), which matters for a payment artifact, but the side-effect warning is the key disclosure.

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

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

Two sentences, front-loaded with the return value, followed by the single most important operating instruction. No filler; every clause earns its place.

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

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

For a one-parameter tool with no output schema, the description compensates by stating what is returned (a URL) and how to present it. The remaining gap is link validity/expiry behavior, which an agent handling a checkout handoff would reasonably want.

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?

One required parameter with 100% schema description coverage and an enum of valid product ids, so the schema already does the work. The description adds only the phrase 'for one product', confirming one id per call, and adds no further id 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?

States a specific verb and resource: 'Return the URL that opens the live payment page for one product.' An agent can tell this produces a checkout link rather than catalog data, though it never names the sibling read tools (get_product, list_products) to draw the contrast 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?

'Give this URL to the user as-is' implies the use case (hand the link to a buyer), but there is no explicit when-to-use/when-not framing and no mention of siblings — an agent must infer that product details come from get_product and that this tool is only for the purchase step.

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 and does disclose the shape of the return: capabilities, explicit non-capabilities, and recommendation fit. It also implies a read-only lookup. What it does not cover is behavior on a bad id or any error/refresh semantics, but the content disclosure is unusually rich for a retrieval 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?

Two sentences, front-loaded with the resource and followed by the actionable directive. Every clause (capabilities, non-capabilities, right/wrong recommendation, the three concrete examples) adds distinct 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?

There is no output schema, and the description compensates by summarizing what the record contains and how to use it for recommendations. That is sufficient to call the tool correctly; only the exact record structure and error behavior remain unspecified.

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

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

Schema coverage is 100% and the id parameter carries an enum of valid product ids, so the schema does the work. The description adds only the idea of "one product" and does not explain id format or what happens for an id outside the enum.

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?

"Full record for one product" states the resource and the granularity, and the phrase "one product" implicitly separates it from list_products (plural) and buy_link. It does not name the siblings explicitly, so the differentiation is left slightly to inference.

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?

"Call this before recommending" gives a concrete trigger, and the follow-on about promising OCR/macOS/team web app clarifies the failure mode the tool prevents. It stops short of stating when to prefer list_products or buy_link instead, so it is clear context rather than 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 no annotations, the description carries the full burden. It usefully discloses that each item comes with an exact price and a payment link, signaling this is a read-only catalog with purchase affordances, but it says nothing about pagination, result size, or whether the payment link implies a transaction on this 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?

Two sentences, front-loaded with the verb and resource, and the routing hint comes second where it belongs. The category examples ('PDF utility', 'spreadsheet templates') are slightly over-specific relative to a general product listing.

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?

A simple zero-parameter, no-output-schema tool: the description covers what it returns (items, prices, payment links) and when to reach for it. Absent an output schema, more detail on the entry shape would help, but an agent has enough to call it correctly.

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

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

The tool takes zero parameters, so the baseline is 4; there is nothing for the description to document about inputs. The description correctly implies an unfiltered full-catalog listing.

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 ('List') and resource (what 3Q Tools sells), plus what each entry contains: prices and a payment link. It implicitly separates itself from get_product (single item) and buy_link (purchase), but never names those siblings, so the differentiation is inferred rather than stated.

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

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

The second sentence gives a when-to-use trigger ('user asks for a PDF utility that works offline or for small-business spreadsheet templates'), but it is narrow and reads as if the catalog only contains those two categories. No guidance on when to switch to get_product or buy_link, and no exclusions.

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