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

With no annotations, the description carries the full behavioral burden, and it does a strong job: it discloses the output structure, the enforcer/source/status fields per row, and the explicit 'under_review' list rather than omitting unset decisions. It does not mention authentication, rate limits, or pagination, but for a read-only getter the behavioral surface is well covered.

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 long but information-dense; the lengthy rule-category list is justified because it disambiguates scope. It is front-loaded with the main purpose, and the filtering note is placed at the end without unnecessary filler.

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?

There is no output schema, so the description must explain return values, and it does: rows carry value, enforcer, source, and status, plus the under_review list. It could mention edge cases or pagination, but for a two-parameter, no-required-argument rulebook getter, the description is largely complete.

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 coverage is 100%, so the baseline is 3, but the description adds meaning by clarifying that product is fixed to 'mandate-vault' today and that topic filters to a single rulebook section. It also reinforces the practical purpose of the optional topic parameter, which helps an agent choose the right value.

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 and resource ('Get the Mandate Vault rulebook') and enumerates the rule categories it covers, so an agent knows exactly what this tool returns. It is clearly distinct from the sibling get_* tools by focusing on the rulebook as a single machine-readable list.

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 gives practical invocation guidance: product is always 'mandate-vault' today and topic can filter to a section like 'Fees' or 'Supply auction'. However, it does not explicitly state when to prefer this tool over sibling tools or when not to use it, leaving alternatives to be inferred.

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