estimate_uncertainty

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

Annotations indicate readOnlyHint: true, and the description ('estimate') implies a non-mutating operation. However, no additional behavioral details (e.g., computational cost, result format) are provided beyond what annotations already convey.

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 sentence with no superfluous words. It is efficiently structured, though omitting usage guidelines reduces its overall helpfulness.

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 the complexity of Bayesian uncertainty and no output schema, the description fails to mention what the tool returns (e.g., uncertainty scores, confidence intervals). This gap leaves the agent without crucial information for proper invocation and interpretation.

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 schema fully describes the single parameter 'tags' with a clear description. The description does not add extra meaning or constraints (e.g., tag format, minimum count), so it meets the baseline for full schema coverage.

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 identifies the action ('Estimate'), the subject ('Bayesian uncertainty for a set of tags'), and the basis ('based on past feedback'). It differentiates from sibling tools by focusing on uncertainty estimation rather than general feedback capture or stats.

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 is provided on when to use this tool versus alternatives like feedback_stats or capture_feedback. The description lacks any mention of prerequisites, limitations, or comparison to other tools.

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