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 |
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 declare destructiveHint=true and readOnlyHint=false, so the mutating nature is known. The description adds no additional behavioral context (e.g., side effects, rate limits, server interactions) beyond what the annotations imply. It does not contradict the annotations, but offers no extra disclosure, hence a neutral score.
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, efficient sentence with no redundant words. It clearly identify the action and the input format. While it is minimal, it is not verbose, and the structure is appropriate, though it could have incorporated usage guidance without sacrificing clarity.
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 tool that is destructive and open-world (as flagged by annotations) and has no output schema, the description is too sparse. It does not explain what the tool returns, potential side effects, error conditions, or how it differs from simply defining a request. An agent would lack critical information to safely and effectively invoke this tool in a real workflow.
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 schema describes the harRequest parameter in detail, including sub-fields like url, method, headers, postData (with distinctions between text and params), and queryString. Schema coverage is 100%, meeting the baseline. The description only says 'given HAR request object,' adding no semantic value beyond what the schema already provides.
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 action ('Executes an API request') and identifies the input format ('given HAR request object'). This distinguishes it from sibling tools that are about searching/listing endpoints rather than executing requests. However, it is somewhat generic and could be more explicit about what 'execute' entails.
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 on when to use this tool versus alternatives. It does not mention sibling tools or any conditions that would select this tool over others. The presence of read-only siblings like search-endpoints and get-endpoint makes this gap significant; an agent has no explicit direction on when to perform an actual request.
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.