getUpgradesDowngradesConsensusBulk

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

Annotations already indicate read-only, idempotent, and open-world behavior. The description adds context about data content (upgrades, downgrades, consensus) but does not disclose potential large response size, pagination, or rate limits. Adequate but minimal extra value.

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?

Two sentences succinctly describe purpose and value. No redundant information. Every word earns its place, and the structure is clear and front-loaded.

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 no-parameter bulk data tool, the description explains what data is returned (upgrades, downgrades, consensus) but does not specify the response structure or field details. Without output schema, more detail would improve completeness. Adequate but not fully comprehensive.

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, so baseline is 4. The description does not need to add parameter information, and it correctly focuses on the tool's output. Schema coverage is 100%.

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 the tool retrieves bulk data for analyst upgrades, downgrades, and consensus recommendations across all symbols. The verb 'retrieve' and resource 'bulk data for analyst ratings' are specific, and it distinguishes from siblings like single-symbol rating tools.

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 explicit guidance on when to use this tool versus alternatives. Sister tools like getPriceTargetConsensus or getRatingsSnapshot are not mentioned. The description implies bulk use but lacks clarity on context or exclusions.

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