ChartMogul MCP Server

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It describes the action ('Create'), mentions the return value ('Returns created note object'), and specifies field constraints (e.g., 'type' values, 'call_duration' for calls). However, it lacks details on permissions, error handling, or rate limits, which are important for a creation tool.

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 front-loaded with the core purpose, followed by a structured list of fields and their semantics, and ends with the return value. Every sentence adds value without redundancy, making it efficient and well-organized for quick understanding.

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 complexity (creation tool with nested parameters), no annotations, and no output schema, the description does well by explaining parameters and the return value. However, it could improve by addressing behavioral aspects like authentication or error cases, which are missing but not critical for basic usage.

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 0% description coverage and only one parameter ('data') as an object with no properties documented. The description compensates fully by detailing all nested fields (e.g., 'customer_uuid', 'type', 'author_email'), their types, constraints, and optionality, adding significant meaning beyond the bare schema.

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 specific action ('Create customer note/call log'), identifies the resource ('customer note'), and distinguishes it from siblings like 'list_customer_notes' or 'update_customer_note' by specifying creation rather than retrieval or modification. It also mentions the API context ('ChartMogul API'), adding specificity.

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 clear context for usage by listing required and optional fields, such as 'customer_uuid' and 'type', which implies when to use this tool for note creation. However, it does not explicitly state when not to use it or name alternatives like 'update_customer_note' for modifications, keeping it from a perfect score.

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