FlipDomain Domain Sales

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

Without annotations, the description indicates a read operation ('get') and lists retrieved info, but omits details like authentication needs, rate limits, or response structure.

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, concise sentence that is well-structured and front-loaded with the key action, but may be slightly too brief 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 simple one-parameter lookup tool with no output schema, the description is adequate but could add return format or error handling details to improve completeness.

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 0% description coverage for the 'domain' parameter; description only mentions 'exact domain', lacking format, examples, or constraints for the single required parameter.

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 retrieves 'asking price and buyer paths' for an 'exact domain', distinguishing it from siblings like 'list_clearance_domains' (clearance domains) and 'make_offer' (offer-making).

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 guidance on when to use this tool vs alternatives. The description implies use for exact domain queries, but lacks exclusions or comparisons to sibling tools.

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

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

No annotations exist, so the description must disclose behavior. It states 'List' (read-only) but omits details like pagination, rate limits, or what happens with no filters. The limit parameter is present in the schema but not mentioned in the 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?

The description is a single, well-structured sentence with no wasted words. It front-loads the main action and filters efficiently.

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 (list with filters), the description covers the core purpose but is incomplete for an agent to understand return format, default behavior (e.g., lists all if no filters), or whether results are paginated. No output schema compounds the 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 mentions three params (max_price, category, tld) but not 'limit', and provides no explanation of 'renewal-clearance' domain concept. This is insufficient for an agent to accurately use all 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 tool lists 'time-sensitive renewal-clearance domains' with filters by price, category, or TLD. The verb 'List' and specific resource distinguish it from siblings like 'get_domain' (single) and 'search_domains' (broader).

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 listing clearance domains with optional filters but does not explicitly state when to use this tool over alternatives (e.g., search_domains) or any exclusions (e.g., not for expired domains).

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 bears the full burden of behavioral disclosure. It indicates a write operation ('submit') and mentions the 'live offer pipeline,' but fails to disclose whether the offer is binding, cancellable, or requires authentication. The agent is left uninformed about important behavioral traits 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 of 14 words. It conveys the core action efficiently with no waste. Every word adds value.

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?

Despite low complexity (4 params, no enums, no nested objects, no output schema), the description omits important context such as return behavior, confirmation of submission, side effects, or any follow-up. The tool would benefit from additional detail on what happens after an offer is submitted.

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 (25%; only 'contact' has a description). The description adds no parameter details beyond the schema—it mentions 'USD offer' (linking to price_usd) and 'saleable domain' (linking to domain), but does not explain domain format, message constraints, or price_usd meaning. This insufficiently compensates for the schema gaps.

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 ('submit') and the resource ('a genuine USD offer for a saleable domain'), and distinguishes the tool from read-only sibling tools like get_domain, list_clearance_domains, and search_domains.

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 (to make an offer on a saleable domain) but provides no explicit guidance on when not to use it, nor does it mention alternative tools. While siblings are clearly read-oriented, the description lacks explicit usage context for an 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 provided, so the description carries full burden. It adds one behavioral detail ('Returns saleable domains only') but omits critical traits such as authentication requirements, rate limits, pagination behavior, or whether results are sorted. This leaves an agent guessing about practical usage constraints.

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 concise sentences with no superfluous words. It front-loads the core purpose and key filters. However, it could benefit from a more structured format (e.g., bullet points for parameters) to aid parsing without increasing length.

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 8 parameters (none required) and no output schema, the tool is moderately complex. The description fails to explain the return format (e.g., list of domain objects, pagination info) or common usage patterns (e.g., combining filters, default ordering). An agent would need to infer behavior from the tool name and siblings.

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% (only query and tld have descriptions). The description lists filter categories (keyword, category, TLD, collection, price) but does not explain each parameter's format, allowed values (e.g., enum for collection, ranges for price), or combined effects. This forces heavy reliance on the schema, which itself is sparse.

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 'Search the live FlipDomain.ai portfolio by keyword, category, TLD, collection, and price. Returns saleable domains only.' This specifies the verb (search), resource (live FlipDomain.ai portfolio), and key filters, distinguishing it from siblings like get_domain (single domain lookup) and list_clearance_domains (specific subset).

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: when needing to search for domains across multiple dimensions. However, it does not explicitly exclude scenarios (e.g., if you need a single domain's details, use get_domain; for clearance offerings, use list_clearance_domains). Sibling tools are not mentioned, leaving room for ambiguity.

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