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

With no annotations, the description carries the full burden and does so well: it defines each KPI, gives the conversion_rate formula and its 1-decimal/percentage formatting, and states the null condition when views are not measured. It also discloses a failure mode (503 metrics_unavailable, never an unannounced number). It does not mention permissions/auth, hence 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?

A single dense paragraph that front-loads the resource and return shape before drilling into KPI formulas. The parenthetical formula detail is heavy but each clause earns its place by disambiguating metric semantics.

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 must explain returns, and it does: it enumerates the returned KPI fields, their units, and the null/error conditions. Only permission requirements and pagination/size concerns are unaddressed, which are minor for a single-record fetch.

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% for the single form_id parameter, so the schema already documents it. The description adds no extra parameter-level meaning beyond that, which is the expected baseline.

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 clearly states the resource (a form with its fields) plus the live KPI payload it returns, and names the sibling whose semantics it mirrors (list_forms). It is distinguishable from list_forms and create/update_form, though the verb itself is implied rather than stated.

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 explicit when-to-use or when-not-to-use guidance; the reference to list_forms only says the metric definitions match, not when to pick one over the other. An agent must infer that this is the single-form fetch by ID versus list_forms for enumeration.

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