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0xcWalter

BackPow MCP Server

by 0xcWalter
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Browse PoW networks

list_pow_coins
Read-onlyIdempotent

Browse Proof of Work networks by algorithm or profitability. Filter the paginated catalogue to find coins for an algorithm, check which are mining above cost, and discover valid algorithm values.

Instructions

Paginated index of the Proof of Work networks BackPow tracks, with algorithm, network rate, collector status and canonical page URL. Optionally filtered by algorithm or restricted to coins currently mining above cost. Returns the distinct algorithm list so valid filter values are discoverable. Use to find which networks exist for an algorithm, to browse the catalogue, or to resolve an ambiguous coin reference. Results are paginated: request a larger limit or a later offset rather than expecting the full catalogue in one response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoRows to return, 1-100. Defaults to 25.
offsetNoRows to skip for pagination. Defaults to 0.
sort_byNoOrdering. "suffering" ranks by how far Cost of Production exceeds spot price. Defaults to name.
algorithmNoCase-insensitive substring filter on algorithm, e.g. "SHA-256", "Scrypt", "KawPow", "RandomX", "Autolykos". The response lists every algorithm present.
profitable_onlyNoRestrict to coins whose spot price currently exceeds Cost of Production. Profitability is resolved for the returned page only, and the response reports how many of those coins have CoP coverage, so a small result set can be distinguished from missing data.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.5/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already mark this as read-only, idempotent, and non-destructive, and the description adds important behavior beyond that: pagination expectations, the fact that profitable_only is resolved only for the returned page, and that the response includes the algorithm list for discoverability. This directly helps the agent interpret small or partial results.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and well-structured: definition, optional filters, output hint, use cases, and a necessary pagination warning. Each sentence earns its place, and the core purpose is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite having no output schema, the description explains what the response will contain, how filtering and pagination work, and what edge cases to expect (e.g., small result sets from profitable_only). The tool is fully callable with the provided guidance.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all five parameters are already documented with meaningful descriptions. The description reinforces the roles of algorithm and profitable_only but does not add substantive new parameter meaning beyond what the schema provides.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The first sentence immediately identifies a specific verb ('Paginated index') and resource ('Proof of Work networks BackPow tracks') plus the returned fields. It also differentiates from siblings by framing this as the catalogue/browsing tool, not a calculation, cost, benchmark, or news tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit use cases: find networks for an algorithm, browse the catalogue, or resolve an ambiguous coin reference. It does not explicitly name when not to use it or list sibling alternatives, but the context is clear enough that an agent can choose it appropriately.

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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