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

The readOnly annotation already covers safety, and the description adds some behavioral context by listing what is audited and instructing the agent not to write findings as a table. However, 'Emit the card it names and let the reader decide group by group' is cryptic and does not clearly disclose the actual return behavior.

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 dense, run-on list using vague metaphors like 'clogging up the user's brain' and 'card it names'. It mixes audit categories with output instructions in one unstructured paragraph, making it harder to parse than a crisp, scannable definition would be.

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 read-only tool with annotations, the description covers the audit categories, but the output format is underspecified: 'Emit the card it names' does not tell an agent what card, what shape, or what fields the response will contain. The lack of an output schema makes this gap more significant.

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 input schema has zero parameters and schema coverage is 100%, so the description is not required to explain parameter meanings. The baseline of 4 applies because there is nothing for the description to add.

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 an action ('audit') and enumerates what it examines: object counts, machine logs, duplicate people/records/documents. However, the resource ('the brain') and the output ('the card it names') are metaphorical and ambiguous, so an agent would struggle to know exactly what result to produce.

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 guidance on when to use this tool versus siblings like what_needs_attention or get_connections_summary. The description does say 'Reads only' and gives an output instruction, but it never states the triggering condition or distinguishes this audit from other analysis tools.

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