get_visions_info

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

No annotations are provided, so the description carries the full burden. It details what the tool returns and mentions the canonical source (feed-status.json). While read-only behavior is implied, it does not explicitly state no side effects or disclose potential limitations, but the coverage is thorough.

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, coherent paragraph that provides comprehensive information without excessive verbosity. It could benefit from bullet points for structure, but the content earns its 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?

Given zero parameters, high schema coverage, and the presence of an output schema, the description fully covers what the tool returns and its source. It is complete and leaves no obvious gaps for an agent to invoke the tool correctly.

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 tool has no parameters, so the baseline is 4. The description need not add parameter info, and it correctly omits any.

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 it returns an overview of Pythia Visions, listing specific components like patterns, contract address, subscription info, and supported tokens. It distinguishes itself from sibling tools by focusing on the walk-forward validated patterns and the comprehensive nature of the returned data.

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 implies usage for obtaining an overview of visions but does not explicitly state when to use it over alternatives or provide exclusions. With many sibling tools, more guidance would be beneficial, but the purpose is clear enough for basic selection.

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