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

No annotations are supplied, so the description carries the full burden; it does disclose the output shape (adaptive HTML, chart interpretation, brand-color-matched visuals) and export formats (PDF/long-image/PPTX), which is genuine behavioral value. It says nothing about how the diagnosis is fed, whether it runs without a query, expected runtime, or whether exports are returned as files or links. Partial disclosure for a multi-step pipeline with zero annotation coverage.

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?

One dense sentence, front-loaded with the action and diagnosis scope, then the deliverable. The parenthetical acronym list is long but each item earns its place by defining diagnostic coverage. No filler or repetition.

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 and no annotations, the description must cover everything, and it does explain deliverable and export formats. It omits what inputs the diagnosis requires, whether the call is read-only, and what the agent should do with the returned report, leaving it only partly complete for a complex multi-framework pipeline tool.

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%, so the single optional 'query' parameter is already documented in the schema. The description never mentions it or how it scopes the brief, leaving the baseline of 3 appropriate for high coverage.

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 pairs a specific verb ('Run a multi-framework brand diagnosis') with an enumerated method list (3C, SWOT, STP, Porter, 4P, AIPL, AARRR, Brand Equity Pyramid) plus an Authenticity layer and a named deliverable (adaptive HTML report). An agent knows exactly what output to expect. However, it never distinguishes itself from the many brand siblings (brand-core, brand-positioning-canvas, rebranding-audit, omni-account-diagnosis), which all plausibly claim 'brand diagnosis'.

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?

There is no when-to-use statement, no prerequisites (what brand data must already exist), and no named alternative. Usage is only inferable from the framework list. In a catalogue with dozens of brand-* tools, the absence of routing guidance is a real gap.

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