Execute API Request
execute-requestExecutes an API request with a given HAR request object.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| harRequest | Yes | HAR request object |
execute-requestExecutes an API request with a given HAR request object.
| Name | Required | Description | Default |
|---|---|---|---|
| harRequest | Yes | HAR request object |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate destructiveHint=true and readOnlyHint=false, so the agent knows this may cause changes. However, the description adds no extra behavioral context such as potential side effects, authentication requirements, rate limits, or data that could be affected. It merely restates the action.
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 concise sentence with no filler or repetition. It is appropriately front-loaded and easy to parse, though it omits essential usage context that would make it more useful.
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 destructive, open-world tool with a nested schema and no output schema, the description is severely under-specified. It does not explain what the function returns, how errors are handled, or in what circumstances to choose this over sibling tools. The description alone would leave an agent uncertain about side effects and expected results.
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 provides descriptions for harRequest and its nested fields (url, method, headers, postData, queryString). The tool description adds no additional parameter semantics, so it relies entirely on the schema. Baseline 3 applies due to high schema description coverage.
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 the action ('Executes an API request') and the resource ('a given HAR request object'). It distinguishes itself from sibling tools focused on retrieving or searching endpoints, though it doesn't explicitly name an alternative.
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?
No guidance is provided on when to use this tool versus siblings like get-endpoint or search-endpoints. There are no stated prerequisites, exclusions, or example scenarios, leaving the agent to infer usage from the tool name alone.
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 clearly distinct role: list-endpoints enumerates all paths, search-endpoints finds specific ones, get-endpoint retrieves details, execute-request makes actual API calls, and pay-with-x402 handles payment. There is no real overlap between these actions.
Most tool names follow a consistent lowercase verb-first hyphenated pattern (execute-, get-, list-, search-). pay-with-x402 is a minor deviation with a phrasal verb, but it still maintains the overall verb-led style.
Five tools is an appropriate count for a focused API client server. Each tool serves a distinct purpose in the discovery-to-execution workflow, earning its place without excess or deficiency.
The tool set covers the complete workflow: discovering endpoints, getting endpoint details, managing access via payment, and executing requests. This allows agents to fully explore and call any Vybe API endpoint with no obvious dead ends.