x402-graph-vertex-count
Graph Vertex Count: Graph Vertex Count
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Graph Vertex Count: Graph Vertex Count
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure, and it discloses nothing. It doesn't state what the tool returns (a count?), whether it reads external state, how it receives graph input (given the empty schema), or any constraints. This is a complete failure of behavioral transparency.
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, but this is under-specification, not conciseness. Half of the text is redundant repetition of the tool name. There is no front-loaded information because there is no information at all — no sentence earns its place since the one sentence present is useless.
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?
Even though the tool is structurally simple (0 params, no output schema), the description is completely inadequate. An agent cannot determine what this tool does, how to invoke it, what it returns, or how it relates to sibling graph tools. The definition is essentially empty communication of the tool's purpose.
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 and the schema is an empty object, so per baseline rules for 0-param tools, the description needn't document parameters. However, the empty schema is itself unusual for a graph tool — an agent cannot determine how to specify which graph to count — and the description does nothing to clarify this, so the baseline is kept but not exceeded.
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 "Graph Vertex Count: Graph Vertex Count" is a pure tautology — it merely restates the tool name twice without adding any information about what the tool does, what a vertex count is, or how it differs from related graph tools. The name itself hints at the purpose, but the description contributes zero clarifying value beyond the identifier.
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 provides no guidance whatsoever on when to use this tool. With siblings like x402-graph-edge-count and x402-graph-degrees present, the agent gets no help distinguishing when vertex counting is the right operation versus edge counting or degree analysis. No context, conditions, 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.
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.