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

Beyond readOnlyHint=true and openWorldHint=false, the description discloses that the forum contains community-submitted requests with heart counts and written statuses from the developer. This adds meaningful behavioral context about what search results will contain, though it does not describe output format or pagination behavior.

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 sentences, no wasted words. The first sentence states the core action and unique content; the second provides the practical use case. The most important information is front-loaded.

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 single-parameter read-only search tool with no output schema, the description covers purpose, usage trigger, and the nature of the data. Nothing else an agent needs to invoke it correctly seems missing.

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% and the schema already fully describes the 'query' parameter as 'The feature or problem, in the person's words.' The description reinforces this by framing it around 'can it' checks, but it does not add new parameter-level detail beyond the schema, so a baseline 3 is appropriate.

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 states a specific verb ('Search') and a clear resource ('Measure Tech PRO's public feature-request forum'), immediately differentiating it from search_knowledge_base and get_roadmap. It also specifies the kind of content (real contractors, hearts, statuses) and the intended use case, making the tool's purpose unmistakable.

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 a concrete trigger: use it to check whether something is requested/planned/shipped/declined before answering 'can it.' This is clear context, but it does not explicitly state exclusions or name alternatives (e.g., when to prefer search_knowledge_base), so it falls short of a perfect 5.

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