Open the Telnyx Number Intelligence MCP App for phone number lookup, validation, and enrichment workflows.
| Name | Required | Description | Default |
|---|---|---|---|
| action | No | Optional no-op app opener action; omit to open the app. | open |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, which fully cover the safety profile. The description adds the workflow context but does not disclose any further behavioral traits (e.g., what happens upon opening, whether it returns data, or any side effects). It does not contradict the annotations.
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, front-loaded sentence with no filler. It efficiently conveys the action, resource, and purpose without redundancy or unnecessary detail.
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?
Given the tool's simplicity (0 required params, one no-op optional param) and the comprehensive annotations, the description covers the essential 'what' and 'why.' However, it could slightly improve by noting that the app is opened for later user interaction rather than performing actions itself, but this is a minor gap for a low-complexity tool.
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 has 100% coverage: it fully describes the single 'action' parameter with an enum and explanation. The description adds no additional parameter information, so it does not go beyond the schema. Baseline 3 is appropriate given the schema already does the heavy lifting.
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 verb 'Open', the resource 'Telnyx Number Intelligence MCP App', and its purpose for 'phone number lookup, validation, and enrichment workflows.' This distinguishes it from sibling openers like 'open_usage_cost_explorer' and 'open_voice_monitor' by specifying a unique app and workflow.
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 implies usage contexts via 'phone number lookup, validation, and enrichment workflows,' but it does not explicitly mention when-to-use vs alternatives or exclusions. There is no naming of alternative tools or guidance on choosing this over the sibling openers, so usage guidance is only implied.
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.
All tools have distinct purposes: the first three are for inspecting and invoking the Telnyx API endpoints, while the last three launch separate MCP apps for specific domains. There is no overlap or ambiguity.
Tool names follow two consistent patterns: 'verb_api_endpoint' for API operations and 'open_<app_name>' for launching apps. While patterns differ, they are each internally consistent and clearly indicate the tool's category.
With 6 tools, the server is well-scoped. The API exploration tools cover essential operations (list, schema, invoke), and the app launcher tools provide access to specialized features without overloading the tool list.
The server provides a complete surface for its purpose: full API endpoint discovery and invocation, plus launching dedicated apps for number intelligence, usage/cost analysis, and voice monitoring. No obvious gaps.
