How the share of listings carrying a bid varies by GoDaddy appraisal band and by how close the auction is to closing. Useful for judging whether an appraisal means anything at a given value, and for telling a domain owner whether their listing is in a band where anything trades.
| Name | Required | Description | Default |
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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 describes the analytical insight but does not explain side effects, permissions, or output format. Since the tool has no parameters, the agent might expect a simple data return, but the lack of output schema and any mention of result structure leaves ambiguity.
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. The first sentence explains the core metric, and the second adds practical applications. It is front-loaded and compact, though the first sentence is slightly jargon-heavy. Still, it earns its place with 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 tool with no parameters and no output schema, the description outlines the data dimensions (appraisal band, auction closing proximity) and use cases. However, it does not specify the output format (e.g., table, chart) or whether results are aggregated per band. Given low complexity, it is decent but 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 tool has zero parameters, and schema description coverage is 100% (trivially). The description adds value by explaining what the tool returns, which is appropriate for a parameterless tool. Baseline for 0 params is 4, and the description meets that.
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 provides information on how bid rates vary by GoDaddy appraisal band and auction closing proximity. It distinguishes itself from siblings like list_auctions, lookup_domain, market_stats, and tld_stats by focusing specifically on bid rates in relation to appraisal bands.
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 mentions two use cases: judging whether an appraisal is meaningful at a given value and telling domain owners if their listing is in a band where trades occur. While it does not explicitly state when not to use it or compare to alternatives, the context is clear enough for the agent to decide.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Each tool targets a clearly distinct aspect of GoDaddy domain auction data: market overview, per-TLD stats, bid rate analysis, live auction listings, and single-domain lookup. There is no overlap in purpose.
Tool names are descriptive but inconsistent in pattern: 'list_auctions' and 'lookup_domain' use verb_noun, while 'bid_rates', 'market_stats', and 'tld_stats' use noun_noun. The mix of imperative and declarative styles could confuse an agent about which tools are actions vs. data queries.
With 5 tools, the server is well-scoped for its domain. Each tool provides a distinct function without redundancy, and the count is neither too thin nor too heavy for a specialized domain auction data server.
The tool set covers the essential operations for querying GoDaddy auction market data: aggregate stats, per-TLD breakdown, bid rate insights, a live auction list, and individual domain lookup. No obvious gaps exist for the stated purpose.