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

Annotations already declare readOnlyHint=true and idempotentHint=true, and the description is consistent with them (an estimation operation has no side effects). The description adds genuine behavioral context beyond the annotations: the tool produces a readability estimate and actively flags problem text as 'too small or too crowded,' which tells the agent what kind of output behavior to expect. No contradiction with annotations.

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 sentence of roughly 20 words that front-loads the primary action ('Estimates whether a name badge is readable at social distance') and appends the secondary flagging behavior. Every word earns its place; there is no repetition of the title or schema content. This is model conciseness.

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?

The tool has a moderate 6-parameter complexity, but the output schema documents return values, the annotations cover safety/idempotency, and the schema covers all parameter semantics at 100% coverage. The description completes the picture by stating the evaluation purpose and flagging behavior. The only minor gap is the absence of usage guidance, but the full package is nearly complete for correct selection and 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 detailed per-parameter documentation covering ranges, trimming behavior, and required/optional status, so the schema carries the full burden. The description adds only indirect semantic context — 'too small' maps to font_size_pt and 'too crowded' to badge_width_mm — but no parameter-level detail beyond what the schema already provides. 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 and resource: it 'estimates whether a name badge is readable at social distance' and 'flags text' that is too small or crowded. This is a precise, unambiguous purpose that clearly distinguishes the tool from its siblings, which operate in the completely different domain of JSON contract and payload-diff checking.

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 intended use is implied by the domain — testing badge layouts for readability — and the sibling tools are so unrelated that an agent is unlikely to confuse them. However, the description gives no explicit when-to-use or when-not-to-use guidance, no prerequisites (e.g., needing a badge design draft), and no mention of alternatives. This is acceptable but not actively instructive.

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