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

Even with no annotations, the description discloses the result format: 'Every fact carries IBM's verbatim sentence, page and read date.' It also says the data is the same as assetize.com.au/mobile and that facts holding for every release are always included, which clarifies scope behavior. It doesn't state explicitly whether the call is read-only or describe limits, but the tool's static research nature makes side effects unlikely.

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 informative but structured as one long run-on paragraph with a massive comma-separated list of topics. It front-loads the core purpose and includes necessary routing/provenance details, but bullet structure or shorter sentences would improve scannability for an agent.

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 two-optional-parameter lookup with no output schema, the description covers selection topics, release scoping, citation contents, and a sibling alternative. It doesn't specify pagination or error behavior, but those are not essential for a research-statement lookup. Overall, an agent has enough to choose and call it correctly.

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%: both optional params already have descriptions enumerating topics and releases. The main description adds only 'Scope by release and/or topic' and the version schema notes the always-included facts. This is baseline value rather than a significant layer of meaning beyond 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 title and opening line ('Researched IBM statements about Maximo Mobile, by topic') plus the topic list make the resource and scope explicit. It also points to search_records as the tool for fixes and gotchas, helping set it apart from at least one sibling. However, it doesn't contrast with other closely related knowledge tools such as compare_maximo_versions or records_by_version.

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 explicitly says 'Scope by release and/or topic', telling the agent how to refine a query. It also gives a clear routing rule: 'For fixes and gotchas use search_records.' This is solid but not exhaustive, since it doesn't mention when other sibling research/version tools would be preferred.

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