Verify an API key against a service (stripe, github, sendgrid, openai, anthropic, slack, notion, airtable, resend, hubspot, vercel) and return an account summary + a .0n connection descriptor
| Name | Required | Description | Default |
|---|---|---|---|
| apiKey | Yes | ||
| service | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It mentions returning a summary and a descriptor, but gives no details about side effects, errors, rate limits, or the meaning of the '.0n' descriptor. The lack of behavioral context is a notable gap for a tool that makes network calls.
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, front-loaded with the verb and resource. It would be scored higher if not for the confusing '.0n' term, which hinders 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?
Given the absence of an output schema and annotations, the description needs to be more thorough. It does not explain the structure of the account summary, the meaning of the connection descriptor, or error handling. The ambiguous '.0n' further reduces completeness.
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?
Schema descriptions are absent (0% coverage), so the description adds some value by enumerating valid service values. However, 'apiKey' is only described as 'API key' with no format or source guidance, and the prose does not explicitly map parameters to fields.
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 tool's function: verify an API key against a listed set of services and return an account summary plus a connection descriptor. It is specific and distinct from sibling tools, which focus on contacts, opportunities, and messaging.
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?
Usage is implied: use this tool when you need to verify an API key for a listed service. However, there is no explicit guidance on when to use it versus alternatives, nor any mention of prerequisites or exclusions.
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.
Most tools have distinct actions (create/get/update/search for contacts, opportunities, etc.). However, send_email overlaps with send_message which explicitly supports email, and verify_service is an outlier unrelated to the CRM-focused tools.
All tools follow a consistent verb_noun pattern in snake_case (e.g., create_contact, get_pipelines, send_message). The naming is predictable and uniform across the entire set.
17 tools is at the heavy end for a CRM-focused server, and the 'Universal AI API Orchestrator' name suggests broader capabilities than the actual tool set. The count is not extreme but feels slightly over-scoped for what is offered.
Contact and opportunity management cover create/read/update/search with additional note/tag features, but there are no delete operations for contacts or opportunities, and appointment creation is missing. The verify_service tool adds an unrelated capability, leaving some CRM lifecycle gaps.
