innovation_scoring

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

With no annotations provided, the description carries full responsibility. It states the action 'calculate' but does not disclose whether the operation is read-only, requires specific input formats, or produces any particular output structure. It also doesn't mention any assumptions or constraints on the input data. This is a minimal disclosure that barely qualifies as 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, front-loaded sentence that efficiently states the tool's purpose. It avoids wordiness and gets straight to the point. However, its brevity borders on under-specification, though that is more a completeness issue.

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?

This is a complex tool with nested parameters and no output schema, yet the description provides no context about what inputs are required, how the scoring works, or what the result represents. Agents have no way to know what data to provide or what to expect in return. The description is inadequate for the tool's complexity.

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 three complex nested object parameters but the description makes no mention of them. With 0% schema description coverage, the description provides no semantic meaning for the parameters. The agent must infer entirely from the schema structure, which lacks field descriptions for most nested properties.

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 uses the specific verb 'Calculate' and identifies the resource 'innovation index and potential scores' within 'market dimensions', making the core function clear. However, it does not differentiate this tool from siblings like compare_competitors or market_gap_analysis, which also relate to market analysis.

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 offers no guidance on when to use this tool versus alternative tools. It lacks any mention of prerequisites, typical use cases, or scenarios where this tool should be preferred. There is not even implicit direction such as 'use this after' or 'instead of'. This leaves the agent without decision support.

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