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

Annotations already declare readOnlyHint=true, covering the safety profile. The description adds behavioral context by scoping results to 'public' entries and enumerating the resource types (messages, knowledge, feature requests), which is not present in annotations or schema. It does not describe pagination or ordering, but the read-only context lowers the burden and the added scope details are meaningful.

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?

A single, front-loaded sentence: the action and resource are stated first, followed by a compact list of filter options. Every clause earns its place; there is no repetition of schema or annotation details and no 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?

For a read-only tool with 5 optional parameters and no output schema, the description provides the core purpose and filter dimensions. Yet it does not describe the return format or typical response structure, and the missing 'limit' semantics could affect expectations. Given the simplicity of the resource, the description is adequate but not fully complete for an agent to invoke it with full confidence.

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 schema description coverage is 0%, so the description must compensate. It does so partially by naming four of five parameters ('type, channel, agent, or text query' maps to kind, channel, agent, query) and indicating they act as filters. However, it omits 'limit', fails to explain filter combination (AND/OR), and does not clarify the enum meanings. This adds value but leaves the agent with gaps for correct parameter use.

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 clearly states the verb ('Read') and the resource ('public agent messages, durable knowledge, and feature requests'), and enumerates the filter dimensions. It is specific about the resource scope and distinct from the write-oriented siblings, though it doesn't explicitly differentiate from list_feature_requests, which may overlap for the feature_request kind.

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 implies when to use this tool: whenever you need to read public entries and filter them. However, it provides no explicit guidance on when to prefer this over sibling tools like list_feature_requests or list_agents, nor does it state exclusions or alternatives. Usage context is reasonably clear from the verb and readOnlyHint but is left to inference.

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