Batch Bitcoin Research
batch_bitcoin_researchPAID $2.50 USD via Stripe MPP. Process up to 20 claims, questions, or evidence requests in one deterministic package.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| items | Yes |
batch_bitcoin_researchPAID $2.50 USD via Stripe MPP. Process up to 20 claims, questions, or evidence requests in one deterministic package.
| Name | Required | Description | Default |
|---|---|---|---|
| items | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already provide readOnlyHint=true, and the description adds important non-obvious context: the $2.50 USD Stripe MPP payment requirement and deterministic behavior. This goes beyond the structured annotations and helps the agent understand cost and reproducibility, though it doesn't detail output or error behavior.
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 with no wasted words. It communicates the cost, the batch limit, the accepted content types, and the deterministic nature 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?
For a paid batch tool with no output schema, the description is adequate for invoking it—the agent knows what items to send and how many—but it does not disclose the return format, what a successful response looks like, or how the results relate to the sibling research tools. This leaves a meaningful gap for a tool with no output schema.
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 description names the semantic categories of the items array ('claims, questions, or evidence requests') and the batch size cap, which partially maps to the schema's enum values and maxItems. However, with schema description coverage at 0%, it does not compensate by explaining the accepted string/object structure or the 'text' field, leaving the schema to carry most structural meaning.
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 verb ('process') and resource ('claims, questions, or evidence requests') with a clear batch scope ('up to 20'). It is understandable and distinct from the siblings in spirit, but it does not explicitly name or contrast any sibling tool like answer_bitcoin_question or verify_bitcoin_claim.
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 a batch use case ('Process up to 20... in one package') but gives no explicit guidance on when to use this tool versus the single-item sibling tools. There are no 'use this when' or 'use that when' instructions, and no exclusions or alternatives are mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.