marketplace_demand_prediction

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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It mentions the analytical outputs (growth signals, blockers, scores) but does not explain read-only nature, data sources, or limitations. It adds some value but lacks depth expected for a prediction 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 three focused sentences with no redundant content. It front-loads the core purpose, then adds specifics about outputs and use case, earning each sentence's place.

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 tool with one optional parameter and no output schema, the description covers the essential purpose and key output concepts (growth signals, blockers, scores). It could be more explicit about the return format, but it is adequately complete for a simple analytical 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?

The input schema has 100% description coverage for its single 'limit' parameter, so the baseline is 3. The tool description adds no extra parameter information, which is acceptable given the schema already documents 'Maximum tools to return'.

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 'Predict' and clearly identifies the resource ('which tools are likely to grow in demand') and key outputs ('growth signals, blockers, and market opportunity scores'). This distinguishes it from marketplace discovery tools and price prediction tools, making the purpose unambiguous.

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 ('useful for investment decisions') but does not explicitly state when to use this tool versus alternatives like marketplace_discover_tools or predict_crypto_price. It lacks exclusions or named alternatives, which is a moderate gap given the large sibling tool set.

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