Run predictive analytics on SAP data

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

No annotations are provided, so the description carries full burden for behavioral disclosure. The description reveals nothing about required permissions, whether operations are read-only or destructive, expected latency, rate limits, or output format. For a complex tool with 10 parameters including training and prediction capabilities, this complete lack of behavioral context is inadequate.

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?

While technically concise with just 5 words, this is under-specification rather than effective conciseness. The single sentence fails to provide necessary context for a complex tool. Good conciseness eliminates waste while retaining essential information; here essential information is missing entirely, making this inefficient communication.

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?

For a complex predictive analytics tool with 10 parameters, no annotations, and no output schema, the description is completely inadequate. It doesn't explain what predictive analytics entails, what types of predictions are possible, how results are returned, or when to use different actions. The description fails to provide the contextual understanding needed to use this tool 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?

Schema description coverage is 90%, so the schema already documents most parameters thoroughly. The description adds no parameter information beyond what's in the schema. However, with high schema coverage, the baseline score is 3 even without additional parameter semantics in the description. The description doesn't compensate for the 10% coverage gap but doesn't need to given the strong schema documentation.

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?

Tautological: description restates name/title.

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 no guidance on when to use this tool versus alternatives. With multiple sibling tools like 'smart-data-analysis', 'business-intelligence-insights', and 'natural-query-builder', there's no indication of when predictive analytics is appropriate versus other analysis methods. No prerequisites, exclusions, or comparison to other tools are mentioned.

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