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

With readOnlyHint and destructiveHint already covering the safety profile, the description still adds real behavioral context: results are truncated to four dishes and full evidence requires a developer key. It stops short of describing the response shape or what happens when a slug is unknown or the place has no saved dishes.

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?

Three short sentences, front-loaded with what the agent gets, then the escalation path, then the input sourcing. No filler and nothing repeated from the schema or annotations.

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, read-only tool with no output schema, the definition covers the key facts: result limit, cost/key model, escalation tool, and where the slug comes from. Edge cases such as an invalid slug or an empty result set are unaddressed but secondary.

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% and the schema already explains the slug format, so the baseline is 3. The description goes beyond it by telling the agent where to obtain the value (the last segment of a search result URL), which is actionable provenance the schema does not supply.

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 concrete scope: a free preview capped at four saved dishes from a single restaurant, which is specific enough to act on. It also implicitly separates itself from get_menu by scope (preview vs. full evidence). The one gap is that 'vegan options' from the tool name never appears in the text, so the agent must infer the dietary framing from the name alone.

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 names the alternative explicitly — 'use get_menu with a developer key' for detailed paginated evidence and all dietary labels — so the free/limited vs. keyed/complete tradeoff is clear. It does not spell out an explicit 'do not use when' case, but the free-preview-versus-developer-key condition effectively covers selection.

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