Goodearth Oracle About
goodearth_oracle_aboutDescribe the DPYC ecosystem via the Oracle. Free.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
goodearth_oracle_aboutDescribe the DPYC ecosystem via the Oracle. Free.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
| 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?
No annotations are provided, so the description carries the full burden. It discloses that the tool is 'Free' (likely no cost) and that it describes the ecosystem, but it does not state whether it makes network calls, requires authentication, has rate limits, or what kind of output to expect. The behavior is mostly opaque beyond the basic action.
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 extremely short: 'Describe the DPYC ecosystem via the Oracle. Free.' It is concise and front-loaded, but the second sentence is a fragment and the phrase 'via the Oracle' is unclear. It earns points for brevity but loses some for cryptic wording.
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 that there is an output schema, the return value may be partially documented elsewhere, but the description still lacks context about what 'the Oracle' is, what 'DPYC ecosystem' means in practice, and what an agent should expect. For a general informational tool with no annotations, this is thin but not completely empty.
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 there is no parameter semantics burden. The description does not need to explain parameters, and the schema already confirms an empty object. Baseline 4 is appropriate for a no-parameter tool.
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 says 'Describe the DPYC ecosystem via the Oracle. Free.' It identifies a verb ('describe') and a resource ('DPYC ecosystem'), but 'via the Oracle' is vague and doesn't clarify what the Oracle is or what kind of description will be returned. It is distinguishable from siblings only in that it is a general about/overview tool, but the wording is too loose to be fully clear.
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?
There is no guidance on when to use this tool versus the many sibling tools. The word 'Free' hints that it may be a no-cost informational call, but there is no explicit context, no exclusions, and no mention of alternatives. An agent would have to infer that this is a general-purpose overview tool.
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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