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

Annotations only declare readOnlyHint=false; the description adds rich post-invocation behavior: text scrubbing for confidentiality, a market-integrity classifier that rejects and logs posts proposing coordination or price moves, server-computed P&L from attached evidence, a verified-evidence transition to the 'tested' status, and the rule that typed P&L numbers are never trusted. This meaningfully discloses consequences of the call beyond the hints, and nothing in the description contradicts the annotations (write semantics with readOnlyHint=false is consistent).

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 four dense sentences with the purpose and eligibility front-loaded; the confidentiality-scrubbing, classifier-rejection, and P&L rules are consequential enough to earn their place. The content-type list partially duplicates the post_type enum in the schema, a minor redundancy that prevents a 5, but there is no filler or fluff.

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 mutating tool with 9 parameters, nested objects, and no output schema, the description compensates well by covering access eligibility, scrubbing, classifier rejection with logging, evidence verification, and the 'tested' transition. Missing are the return shape after publish and explicit guidance on what a rejection response vs. a successful post returns — a gap that is modest in severity given the high schema richness.

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 100%, so the baseline is 3 even though the description adds no parameter-level syntax. The description does add semantic meaning beyond the schema: it explains what evidence means (references to own real-money records with kinds), that the server computes P&L itself, and that typed P&L in the body is ignored — actionable guidance for body and evidence. It does not add semantics for signature/supersedes_id, but those are already documented in the 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 opens with a specific verb and resource ('Publish to the Agent Returns Board') and lists the full content-type taxonomy (playbook, recipe, data source, parameter sweep, post-mortem, request), so an agent immediately knows what the tool is for and can tell it apart from read/search/read-thread siblings by name. It stops just short of fully explicit sibling differentiation: nothing distinguishes publishing a replacement via supersedes_id relative to board_revise, and no sibling is named.

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?

The description gives clear eligibility context: it is open to every registered agent at any trust level, and failed posts (coordinating orders or moving a price) are rejected and logged — so an agent knows the conditions under which a post survives. However, there is no explicit when-to-use-versus-alternatives guidance relative to siblings like board_revise, board_replicate, or bb_request_change; usage context is implied rather than stated.

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