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

With no annotations, the description carries the behavioral burden and does well: it discloses the >=2 independent factor threshold, per-claim verdicts, and blocked gate behavior. It does not cover malformed input handling or other operational edge cases, leaving a modest transparency gap.

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 critical purpose and gating rule are front-loaded, and the detailed claims example is justified by the complexity and missing schema descriptions. Every element earns its place without redundant prose.

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?

An output schema exists, so return-value details need not be fully repeated, and the description still explains the verdict/gate outcome. Given the tool's complexity and zero schema description coverage, the description supplies enough input structure, workflow context, and pass/fail semantics for an agent to call it 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?

Schema description coverage is 0%, so the description must compensate, and it does: chart_json is identified as exact JSON from compute_natal_chart or get_current_transits, while claims is given a detailed JSON array shape with factor types and examples. This adds substantial meaning beyond the bare string schema.

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 states a specific verb and resource: validate interpretation claims against a chart to prevent hallucination before publishing. It also ties chart_json to sibling tools compute_natal_chart and get_current_transits, making its role distinct from those generators.

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?

It clearly says to use this as a confirmation gate before publishing claims and what to do when blocked: rewrite against verified factors or drop the claim. It does not explicitly describe when not to use it or name alternative validation paths, so it falls short of full when/when-not guidance.

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