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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false. The description's only behavioral claim, 'Does not create anything,' merely restates those annotations without adding new context such as auth needs, rate limits, or return behavior. No contradiction, but no added value beyond structured fields.

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 tightly worded sentences with zero waste. The core purpose is front-loaded, and the secondary clarification about not creating anything follows efficiently.

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 simple read-only discovery tool with a fully documented single parameter and clear safety annotations, the description is nearly complete. It could be slightly more explicit about the return format (e.g., a list of suggestions), but the phrase 'Suggest specs, work items or meetings' adequately implies what the agent will receive.

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%, and the schema's query parameter description already provides rich examples (topic, company, spec, meeting, mix). The description adds no parameter-specific guidance beyond what the schema supplies, so the baseline of 3 applies.

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?

States a clear verb (suggest) and resource (specs, work items, meetings) matching a topic to follow. It indirectly differentiates from follow_topic by stating 'Does not create anything,' but never names the sibling explicitly, leaving some ambiguity about where it fits in the discovery-to-follow workflow.

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?

Implies the tool is used when a user wants to discover topics to follow, but gives no explicit when-to-use guidance, no prerequisites, and no named alternatives (e.g., follow_topic or list_followed_topics). The agent must infer the context from the phrase 'wants to follow.'

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