List API Endpoints
list-endpointsLists all API paths and their HTTP methods with summaries, organized by path. Results can be passed directly into 'get-endpoint'.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
list-endpointsLists all API paths and their HTTP methods with summaries, organized by path. Results can be passed directly into 'get-endpoint'.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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?
Annotations already carry the safety profile (readOnlyHint=true), and the description's 'Lists' wording is consistent with a non-mutating read. The description adds minor context beyond annotations — the 'organized by path' structure and the pass-through to get-endpoint — but does not detail output shape or any edge cases, which annotations alone don't fully cover.
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?
Two compact sentences with no filler. The core purpose is front-loaded, and the second sentence earns its place by enabling a chaining workflow. Minor ambiguity in 'organized by path' is the only slight inefficiency, but overall it is tight.
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 parameterless list tool with no nested objects, the definition is nearly complete. The only gap is that there is no output schema and the description doesn't enumerate the properties each endpoint entry carries; the reference to get-endpoint implies a compatible structure but leaves the exact format unstated.
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?
With zero parameters, the baseline of 4 applies per the rubric. There is nothing for the description to document, and the phrasing implicitly signals the tool takes no arguments (it returns the whole set). It neither adds nor needs parameter-level detail.
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 names a specific verb ('Lists'), a resource ('all API paths'), and what each entry includes (HTTP methods and summaries) with an organizational detail (by path). This clearly distinguishes it from siblings like get-endpoint (single endpoint) and search-endpoints (filtering), since listing all is the differentiator.
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 useful workflow context by noting results 'can be passed directly into get-endpoint,' which tells an agent how to chain calls. However, it gives no explicit when-to-use vs when-not-to guidance and never mentions search-endpoints as an alternative for filtered discovery, leaving the selection decision partly to inference.
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.
Each tool has a clear and distinct role: discovery (search-endpoints), enumeration (list-endpoints), detail lookup (get-endpoint), execution (execute-request), and payment handling (pay-with-x402). No two tools overlap in purpose; even list and search serve different discovery workflows.
All tool names follow a consistent verb-object pattern with hyphens (execute-request, get-endpoint, list-endpoints, pay-with-x402, search-endpoints). The naming is uniform, predictable, and immediately conveys the action and target.
With 5 tools, the set is well-scoped for an API client wrapper. It covers discovery, inspection, execution, and payment without unnecessary bloat, striking an ideal balance between power and simplicity.
The tools form a complete lifecycle for interacting with the Vybe API: discover endpoints, get details, execute requests, and handle payment for keyless access. No obvious gaps exist for the stated purpose of a pay-per-call Solana data API.