x402-graph-edge-count
Graph Edge Count: Graph Edge Count
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Graph Edge Count: Graph Edge 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 bears the full burden of behavioral disclosure and discloses nothing: it does not say how the target graph is supplied (the schema is empty), what the return value is, or whether there are side effects or edge cases. Behavioral information is entirely absent.
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 trivially short, but this is under-specification rather than conciseness — a one-sentence tautology earns no credit for economy. The same length could have stated what graph is counted and what the tool returns.
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 zero-parameter tool with no annotations and no output schema, the description is the agent's only information source, and it is vacuous. The agent cannot determine which graph this tool operates on, what value it yields, or how it differs from x402-graph-vertex-count, making correct selection and invocation effectively impossible.
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 input schema defines zero parameters, so per the rubric a 0-param tool baselines at 4; there is nothing for the description to add. The empty schema makes parameter documentation a non-issue here.
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 Edge Count: Graph Edge Count' is a pure restatement of the tool name with hyphens removed; it offers no verb, resource, or scope beyond what the name already encodes. An agent receives no basis for telling this apart from close siblings such as x402-graph-vertex-count or x402-graph-degrees.
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?
There is no when-to-use guidance whatsoever — no context, prerequisites, or exclusions that would route an agent to this tool rather than to vertex counting, degree listing, or adjacency-matrix construction. The description never mentions any alternative or the conditions that favor edge counting.
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.