bulk_screener
PAYWALLED. Returns top 200 X1 tokens with full metadata. Returns x402 payment instructions to call /api/x402/screener-bulk for $0.025.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
PAYWALLED. Returns top 200 X1 tokens with full metadata. Returns x402 payment instructions to call /api/x402/screener-bulk for $0.025.
| 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?
With no annotations, the description must carry the full transparency burden. It does disclose the paywall, cost ($0.025), and the API endpoint, which are valuable. However, it fails to clarify whether the tool returns the token data itself or just payment instructions, and it does not mention side effects or prerequisites. This ambiguity keeps it at a mid score.
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 brief and front-loaded with the primary claim, but the second sentence is slightly awkward in phrasing and could confuse the reader about the return value. It is still economical, earning a 4.
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 lack of annotations and output schema, the description must fully explain what happens on invocation. It does not: the relationship between returning 'top 200 X1 tokens' and 'payment instructions' is unclear, and the actual response format or flow is not defined. This leaves the agent unable to confidently call the tool without additional inference.
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 0 parameters and schema coverage is 100%, so there is nothing for the description to explain. Per the calibration rules, the baseline for 0 params is 4, and the description does not need to compensate for missing parameter docs.
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 states a specific resource ('top 200 X1 tokens with full metadata') and a clear action ('returns'), which distinguishes it from vague alternatives. However, the second sentence about payment instructions introduces some ambiguity about whether the tool itself returns data or just instructions, lowering the score from a 5.
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 guidance on when to use this tool versus alternatives like top_tokens or token_lookup. It mentions 'PAYWALLED' but does not specify when it is appropriate over free options, nor does it name any sibling tool. The agent is left to infer usage.
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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