get_content_dashboard

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

Annotations only declare readOnlyHint and openWorldHint=false; the description goes well beyond them, spelling out failure modes (contentAnalysisAvailable, 'no_sitemap_published' vs 'sitemap_fetch_failed'), which fields are null vs empty and why, and that competitors being unreachable must not be blamed on the customer. That is real behavioral context an agent cannot get from annotations. It does not cover permissions or refresh/caching behavior, so not a 5.

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 purpose is front-loaded in the first sentence and each subsequent paragraph addresses a distinct ambiguity (null vs empty, the two failure causes, the 9 assessed categories vs the unassessed ones, the two opposite-signed gap fields, per-row reasons). It is dense and reads as prose rather than scannable structure, but very little is 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?

With no output schema, the description carries the full burden of explaining the return payload, and it does so thoroughly: null-vs-empty semantics, the two distinct causes of missing data, the polarity of gapPercentage vs strategicUrlGap, and which categories are never assessed. For a single-parameter read tool, an agent has everything needed to interpret the response.

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?

There is a single projectId parameter with 100% schema description coverage (including the source list_projects and a 24-hex pattern), so the schema fully documents it. The description adds no format or sourcing detail beyond that. Baseline 3 is appropriate when the schema does all the work.

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 first sentence states a concrete verb+resource: 'Latest Content Intelligence for every competitor' followed by the specific payload (sitemap URL counts, strategic URLs, categories, sitemap structure, gap analysis). It is immediately clear what the tool returns. However, it never distinguishes itself from the very similar siblings get_content_history and get_content_run_detail, so it falls short of a 5.

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 heavy guidance on how to READ the result but never says when to call this tool versus get_content_history or get_content_run_detail. Usage is only implied by the purpose statement. There are no exclusions or alternative-selection cues, so this lands at the minimum-viable level.

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