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

Annotations already declare readOnlyHint and openWorldHint; the description adds concrete behavior: it fetches the live Dev.to API, returns specific fields, and gives an honest 'not found'. This goes beyond the annotation flags by explaining the actual network action and output semantics, though it omits failure-mode details like timeouts or rate limits.

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 three sentences are front-loaded with the core purpose and outcome, followed by a concrete usage example and a brief safety note. There is minimal redundancy; the final annotation restatement is short and reinforces rather than bloats the description.

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 tool with no output schema, the description covers purpose, parameter semantics, return behavior, and safety profile. It tells the agent exactly what to expect (found article fields or 'not found') and is sufficiently complete for correct invocation.

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%, with query already defined as 'Article title fragment or keyword, e.g. "agent memory" or an exact title.' The description reinforces the query's matching role but adds no new syntax or format details beyond the schema, 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?

The description states a specific verb ('Verify'), a clear resource ('an article against the primary source (Dev.to)'), and the expected outcome (real title/date/reactions/url or 'not found'). The article-specific focus clearly distinguishes it from sibling tools like verify_claim, verify_package, and verify_repo.

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?

It provides explicit usage context with 'Use it to ground claims like "he wrote about agent memory" in the platform's data instead of the portfolio's own words.' It does not name alternatives or give when-not-to-use conditions, but the use case is unambiguous enough for an agent to select it appropriately.

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