x402-dfs
Dfs: Perform depth-first search traversal on an undirected graph. Provide edges (list of [a,b] pairs) and optional start node; returns traversal order.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Dfs: Perform depth-first search traversal on an undirected graph. Provide edges (list of [a,b] pairs) and optional start node; returns traversal order.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says returns traversal order, with no detail on cycle handling, disconnected components, tie-breaking, start-node defaults, or failure cases. It also contradicts the empty input schema by implying edges and start node must be provided.
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 sentence that front-loads the core action and includes input/output. The leading 'Dfs:' is redundant with the tool name, but otherwise there is no waste.
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 graph-traversal tool with an empty schema and no annotations, the description leaves critical gaps: how to pass the graph, what node types are accepted, behavior on disconnected or cyclic graphs, and exact output format. It is not complete enough for an agent to invoke reliably.
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 edges and optional start node, but the schema declares zero properties, so an agent cannot construct an invocation that matches both. The instruction 'Provide edges (list of [a,b] pairs)' adds some semantic value but is unsupported by the schema, and node-label types are not specified.
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 clearly states a specific verb ('Perform depth-first search traversal') and resource ('undirected graph'), and names the inputs and output. It does not explicitly differentiate from siblings like x402-bfs, but the algorithm name 'depth-first search' is distinct enough for an agent to recognize the difference.
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 a context signal ('undirected graph') and input expectations, but provides no when-to-use or when-not-to-use guidance. It does not mention alternatives such as x402-bfs, x402-connected-components, or x402-graph-degrees, leaving the agent to infer selection criteria.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
The tool set is saturated with near-duplicates and synonyms: character-count vs char-count, clamp vs clamp-value, is-abundant vs is-abundant-num vs is-abundant-number, and fetch vs browser-scrape vs web-scrape vs text-scrape. Generic names like 'difference', 'normalize', 'range', and 'partition' make the boundaries even harder for an agent to determine.
Most tools share a x402- kebab-case prefix, but the set mixes noun-only names (math, hash, prime, time), verb-first names (get_stats, find, validate), auto-generated names (x402-publish-1787853294312-base-account), and inconsistent variants like temp vs temperature vs temperature-convert. This is not a coherent verb_noun convention despite the common prefix.
1677 tools is an extreme count that creates selection paralysis and makes coherent agent use impractical. A utility or marketplace server at this scale needs sub-services or namespacing rather than a flat tool list.
The surface has broad token coverage across many utility categories, but the marketplace aspect is incomplete: service_discovery and get_stats exist, yet there are no generic publish, update, delete, or account-management operations. Utility families also contain redundant variants without clear completion or lifecycle structure.