get_composite_rankings

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

No annotations are provided, so the description carries full burden. It does not disclose read-only nature, authorization needs, rate limits, or any side effects. The tool is likely a read operation, but this is not stated.

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?

Single sentence with front-loaded key purpose ('Get the full current-state snapshot') and a concise list of contents. No wasted words, though the phrase 'optimized for AI agents' is somewhat vague and could be omitted or clarified.

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 no parameters and no output schema, the description lists the main components (factor breadth, rankings, triggers, status). However, it lacks details on output format, data freshness, or limitations. For a no-param tool, it is adequate but not thorough.

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?

No parameters exist, and schema coverage is 100%. Baseline 3 is appropriate as the description adds no parameter meaning since there are none. The description correctly implies no input is needed.

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 a 'full current-state snapshot' with specific components (factor breadth, composite rankings, signal trigger summary, pipeline status). It distinguishes from siblings like get_factor_scores or get_signal_triggers by aggregating multiple aspects. However, it could be more explicit about how it differs from get_market_snapshot.

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?

No guidance on when to use this tool versus alternatives. The phrase 'optimized for AI agents' hints at context but does not specify scenarios or preferences over sibling tools like get_market_snapshot or get_factor_scores.

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