armavita-quo-mcp

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions plan restrictions but lacks critical details such as whether this is a read-only operation, potential rate limits, authentication needs, or what the summary format entails (e.g., bullet points, paragraphs). This leaves significant gaps in understanding the tool's behavior.

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 that front-loads the core purpose ('Get an AI-generated summary of a call') and includes essential context ('Business/Scale plans only') without unnecessary words. Every part of the sentence adds value, making it highly concise and well-structured.

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 lack of annotations and output schema, the description is incomplete for a tool that likely returns structured data (an AI-generated summary). It fails to explain what the output looks like (e.g., text format, length, key points) or any error conditions, leaving the agent with insufficient context to handle responses effectively.

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 description coverage is 100%, with the single parameter 'callId' fully documented in the schema. The description adds no additional parameter semantics beyond what the schema provides, such as format examples or constraints. This meets the baseline score when schema coverage is high.

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 ('Get an AI-generated summary') and resource ('of a call'), making the purpose immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'get_call' or 'get_call_transcription' that also retrieve call-related information, preventing a perfect score.

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 some usage context by specifying 'Business/Scale plans only,' which indicates eligibility requirements. However, it doesn't explicitly state when to use this tool versus alternatives like 'get_call' (which might return raw data) or 'get_call_transcription' (which might provide verbatim text), leaving the guidance incomplete.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.