Data release
dataset_infoThe Common Crawl web-graph release, Majestic Million date, as-of date and size of the data behind domain_authority.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
dataset_infoThe Common Crawl web-graph release, Majestic Million date, as-of date and size of the data behind domain_authority.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and non-destructive behavior, so the safety profile is covered. The description adds useful output context (the dataset metadata fields returned) but does not disclose additional behavioral traits like caching, freshness, or authentication requirements.
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, compact sentence with no filler, and it front-loads the key dataset fields. However, it is a sentence fragment without an explicit action verb, which slightly weakens its structure.
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 no output schema and zero parameters, the description carries the burden of explaining return values and does so by listing the specific metadata fields. It is nearly complete for a simple read-only info tool, missing only explicit usage guidance or source details.
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 parameter semantics are not applicable and the baseline score is 4. The description appropriately focuses on what the tool returns rather than 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 names the specific resource and the fields it exposes (Common Crawl release, Majestic Million date, as-of date, size), so the agent can infer it provides dataset metadata. It lacks an explicit action verb and does not clearly distinguish when to prefer it over the sibling domain_authority, though it references that sibling's underlying data.
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 gives no explicit guidance on when to use this tool versus alternatives such as domain_authority. The connection to domain_authority implies a related use case, but no conditions, prerequisites, or exclusions are stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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