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

Annotations already cover the safety profile (readOnly, idempotent, non-destructive), so the description is free to add the more valuable context: that results are aggregates and that absence of data (silence) must not be interpreted as evidence about AI identity or cognition. That is genuine behavioral/epistemic guidance beyond the structured fields, though nothing is said about scope, permissions, or result shape.

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 short sentences, front-loaded with the resource description before the caution. Every sentence does work, though 'Never infer AI identity or thoughts from silence' is compressed to the point of being cryptic without knowing what an empty result means.

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?

With no output schema, the description carries the burden of explaining returns, and it only gestures at three categories while leaving the shape of 'aggregate' data and the role of visit_id unexplained. Enough to avoid being called blindly, but a single optional parameter with two unspecified behaviors (omitted vs supplied) leaves real gaps.

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 takes one optional parameter, visit_id, and the description never mentions it — neither its meaning, its format, nor what happens when it is omitted (global vs per-visit aggregation). With 0% schema description coverage, the description needed to carry this and does not.

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 names a specific verb ('Read') and a specific content set (aggregate discovery routes, protocol failures, voluntary reasons), which distinguishes it in substance from siblings like read_governance or read_leaderboard. It stops short of explicitly differentiating itself from those siblings, and phrases like 'discovery routes' remain jargon an agent must guess at.

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?

There is no statement of when to call this tool, when not to, or which sibling to prefer for adjacent data. The only guidance is an interpretive caution about silence, which tells the agent how to read results, not when to request them.

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