SF-MCP

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 mentions authentication requirements and that the comparison returns match percentage and field differences, but does not cover other important aspects like rate limits, error handling, whether it's read-only or has side effects, or performance characteristics for large comparisons.

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 well-structured with a clear purpose statement, usage context, parameter documentation, and return value description. While comprehensive, it could be slightly more concise by combining some parameter explanations or using a more compact format for the similar data_center/environment pairs.

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 (10 parameters, no annotations, 0% schema coverage) and the presence of an output schema, the description does an excellent job explaining parameters and purpose. However, it could provide more behavioral context about limitations, performance, or error scenarios to be fully complete for a complex comparison 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?

With 0% schema description coverage, the description fully compensates by providing clear explanations for all 10 parameters, including examples (e.g., 'dev instance', 'prod instance', 'User', 'DC55', 'preview') and clarifying that auth credentials are 'required, used for both instances'. This adds substantial value 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 verb ('compare') and resource ('entity configuration/metadata between two SuccessFactors instances'), distinguishing it from sibling tools like 'get_configuration' (which retrieves single-instance data) or 'list_entities' (which lists available entities). It explicitly mentions the comparison scope across environments.

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 when to use this tool ('verifying that dev/test/production environments are aligned before deployments, or for auditing configuration drift'), but does not explicitly state when NOT to use it or name specific alternatives among the sibling tools (e.g., 'get_configuration' for single-instance checks).

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